Monitoring device and display method of monitoring data
By simultaneously displaying real-time and trend parameter waveforms and a virtual human body model on the monitoring device interface, the problem of monitoring device interface layout is solved, enabling rapid and effective monitoring of the patient's physiological state and timely detection of changes in the patient's condition.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD
- Filing Date
- 2021-12-23
- Publication Date
- 2026-06-02
AI Technical Summary
The existing software interface layout of monitoring devices is difficult to effectively display rich physiological parameters, resulting in a poor user experience.
The monitoring interface of the monitoring equipment simultaneously displays real-time monitoring images and monitoring evaluation images. The real-time monitoring images are used to present real-time parameter values and waveforms, while the monitoring evaluation images are used to present trend parameter waveforms and virtual human body models. The virtual human body model graphically displays the monitored parts based on the parameter values.
It enables quick access to the overall patient monitoring data, reduces the risk of delays in treatment, and improves the efficiency of medical staff in understanding the patient's physiological state.
Smart Images

Figure CN116490120B_ABST
Abstract
Description
[0001] This application claims priority to Chinese Patent Application No. 2020115636392, filed on December 25, 2020, entitled “Monitoring Equipment and Central Station”, the entire contents of which are incorporated herein by reference. Technical Field
[0002] This invention relates to the field of medical monitoring technology, and in particular to a monitoring device and a method for displaying monitoring data. Background Technology
[0003] Monitoring equipment can monitor a patient's vital signs in real time, thus providing crucial patient monitoring data for clinical medical diagnosis. Modern monitors are becoming increasingly feature-rich, supporting more and more physiological parameter modules. Existing monitoring equipment typically supports the display of physiological waveforms and parameters. However, as the functions and modules of monitoring equipment become more diverse, there are higher demands on the interface layout of the monitoring equipment software, making it a pressing issue to address how to present different emphases to the user. Summary of the Invention
[0004] In view of this, it is necessary to provide a monitoring device and a method for displaying monitoring data to solve the above-mentioned technical problems.
[0005] In a first aspect, embodiments of the present invention provide a monitoring device, the monitoring device including a display and a processor, the display being used to display a monitoring interface, and the processor being used to:
[0006] Acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values;
[0007] The monitoring interface displays real-time monitoring images in a first display area and monitoring evaluation images in a second display area; wherein:
[0008] The real-time monitoring image is used to present at least one of the real-time parameter values and real-time parameter waveforms. The monitoring evaluation image is used to present the trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms. The virtual human body model is used to graphically display the monitoring parts according to the values of preset evaluation parameters among the at least one parameter. The preset evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveforms.
[0009] Secondly, embodiments of the present invention provide a monitoring device, the monitoring device including a display and a processor, the display being used to display a monitoring interface, and the processor being used to:
[0010] Acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values;
[0011] The monitoring interface displays real-time monitoring images in a first display area and monitoring evaluation images in a second display area; wherein:
[0012] The real-time monitoring image is used to present at least one of the real-time parameter values and real-time parameter waveforms. The monitoring and evaluation image is used to simultaneously present the trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms. The virtual human body model is used to graphically display the monitored area based on the trend parameter waveforms. The trend parameter waveforms include real-time waveforms and historical waveforms. Based on the real-time waveforms, the virtual human body model dynamically displays the real-time status of the monitored area, and based on the historical waveforms, the virtual human body model statically displays the historical status of the monitored area.
[0013] Thirdly, embodiments of the present invention provide a method for displaying monitoring data, applied to a monitoring device, wherein the monitoring device displays a monitoring interface, and the display method includes the following steps:
[0014] Acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values;
[0015] The monitoring interface displays real-time monitoring images in a first display area and monitoring evaluation images in a second display area; wherein:
[0016] The real-time monitoring image is used to present at least one of the real-time parameter values and real-time parameter waveforms. The monitoring evaluation image is used to present the trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms. The virtual human body model is used to graphically display the monitoring parts according to the values of preset evaluation parameters among the at least one parameter. The preset evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveforms.
[0017] Fourthly, embodiments of the present invention provide a method for displaying monitoring data, applied to a monitoring device, wherein the monitoring device displays a monitoring interface, and the display method includes the following steps:
[0018] Acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values;
[0019] The monitoring interface displays real-time monitoring images in a first display area and monitoring evaluation images in a second display area; wherein:
[0020] The real-time monitoring image is used to present at least one of the real-time parameter values and real-time parameter waveforms. The monitoring and evaluation image is used to simultaneously present the trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms. The virtual human body model is used to graphically display the monitored area based on the trend parameter waveforms. The trend parameter waveforms include real-time waveforms and historical waveforms. Based on the real-time waveforms, the virtual human body model dynamically displays the real-time status of the monitored area, and based on the historical waveforms, the virtual human body model statically displays the historical status of the monitored area.
[0021] Fifthly, embodiments of this application provide a monitoring device for monitoring a patient's physiological state. The monitoring device includes a display and a processor. The display shows a monitoring interface. The processor acquires monitoring data, including parameter values for various parameters, which include real-time and historical parameter values. The processor also displays real-time monitoring images and monitoring evaluation images on the monitoring interface based on the monitoring data. The real-time monitoring images present real-time parameter values and / or real-time parameter waveforms, while the monitoring evaluation images present parameter trend curves for various parameters and a virtual human body model. The virtual human body model graphically displays the monitored body parts based on the parameter values or parameter trend curves for various parameters; responds to a review operation for any target monitoring point on the parameter trend curve, determines the target parameter value corresponding to the target monitoring point, and updates the displayed virtual human body model based on the target parameter value.
[0022] Optionally, the monitoring and evaluation image is also used to present the values of preset evaluation parameters among multiple parameters. The processor responds to a review operation for any target monitoring point on the parameter trend curve to determine the target parameter value corresponding to the target monitoring point; and updates the value of the preset evaluation parameter based on the target parameter value.
[0023] This invention provides a monitoring device and a method for displaying monitoring data. The virtual human body model can present the correlation changes between the values and / or trend parameters of preset evaluation parameters, allowing medical staff to quickly browse the overall situation of patient monitoring data. The browsing operation is simple and time-saving, enabling more timely detection of changes in the patient's condition and reducing the risk of delayed treatment. Furthermore, based on the values and / or trend parameters of the preset evaluation parameters, the monitored areas are graphically displayed on the monitoring interface of the monitoring device, allowing medical staff to quickly and effectively understand the patient's physiological state. Attached Figure Description
[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0025] Figure 1 This is a schematic diagram of the program modules of the monitoring system provided in an embodiment of the present invention.
[0026] Figure 2 This is a flowchart of the steps of the monitoring data display method provided in the embodiments of the present invention.
[0027] Figure 3 This is an interface diagram of the monitoring device displayed in the monitoring system provided by the embodiments of the present invention.
[0028] Figure 4 This is an interface diagram of the monitoring device provided in the first embodiment of the present invention, in which a pop-up window appears on the monitoring interface in response to a preset first operation.
[0029] Figure 5 This is an interface diagram of the monitoring device provided in the second embodiment of the present invention, showing a pop-up window on the monitoring interface in response to a preset first operation.
[0030] Figure 6 This is an interface diagram of the monitoring device provided in the third embodiment of the present invention, showing a pop-up window on the monitoring interface in response to a preset first operation.
[0031] Figure 7 This is an interface diagram of the monitoring interface displayed by the monitoring device provided in this embodiment of the invention in response to the rotation operation of the virtual human body model in the monitoring interface.
[0032] Figure 8 This is a flowchart of the steps of the monitoring data review method provided in the embodiments of the present invention.
[0033] Figure 9 This is an interface diagram of the monitoring interface displayed by the monitoring device provided in this embodiment of the invention in response to a review operation for any target monitoring point on the trend parameter waveform.
[0034] Figure 10 yes Figure 9 A schematic diagram of the monitoring interface window. Detailed Implementation
[0035] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.
[0036] It is understood that the terminology in the specification, claims, and accompanying drawings of this application is for describing specific embodiments only and is not intended to limit this application. The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Unless the context clearly states otherwise, the singular forms "a" and "described" are also intended to include the plural forms. The term "comprising," and any variations thereof, is intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices. Furthermore, this application can be implemented in many different forms and is not limited to the embodiments described herein. The purpose of providing the following specific embodiments is to facilitate a clearer and more thorough understanding of the disclosure of this application, wherein terms indicating orientation such as up, down, left, and right refer only to the position of the illustrated structure in the corresponding drawings. The term "monitoring interface" can refer to the interface of a monitoring device that displays parameter waveforms and / or parameter values; or it can refer to the interface displayed after the monitoring device is powered on; or it can refer to the interface of the monitoring device that is used frequently.
[0037] The following description provides preferred embodiments for carrying out this application; however, this description is for the purpose of illustrating the general principles of this application and is not intended to limit the scope of this application. The scope of protection of this application shall be determined by the appended claims.
[0038] This invention provides a method for displaying monitoring data, a monitoring device, a monitoring system, and a readable storage medium. The method for displaying monitoring data is applied to a monitoring system or monitoring device. The display of the monitoring system or monitoring device shows a monitoring interface. The processor of the monitoring system or monitoring device is used for:
[0039] Acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, the parameter values of the at least one parameter including real-time parameter values and historical parameter values; display a real-time monitoring image in a first display area of the monitoring interface, and display a monitoring evaluation image in a second display area of the monitoring interface; wherein: the real-time monitoring image is used to present at least one of the real-time parameter values and real-time parameter waveforms, the monitoring evaluation image is used to present trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms; the display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms; the virtual human body model is used to graphically display the monitoring parts according to the values of preset evaluation parameters among the at least one parameter, the preset evaluation parameters being at least partially the same as the parameters corresponding to the trend parameter waveforms.
[0040] In this way, the monitoring interface can display real-time monitoring data and the changing trends of some or all monitoring data of interest to medical staff on the same screen. It can also present the correlation changes between the values of preset evaluation parameters corresponding to a specific monitoring point. This allows medical staff to quickly browse the overall situation of the patient's monitoring data, and the browsing operation is simple and time-saving, enabling more timely detection of changes in the patient's condition and reducing the risk of delays in treatment. Furthermore, based on the values of the preset evaluation parameters mentioned above, the monitoring sites are graphically displayed, allowing medical staff to quickly understand the patient's comprehensive physiological state.
[0041] This invention provides a method for reviewing monitoring data, a monitoring device, a monitoring system, and a readable storage medium. The method for reviewing monitoring data is applied to a monitoring system or monitoring device, which displays a monitoring interface. The review method includes the following steps: acquiring monitoring data, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values; displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface of the monitoring device based on the monitoring data, wherein the real-time monitoring image is used to present at least one of real-time parameter values and real-time parameter waveforms, and the monitoring evaluation image is used to present trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms; the display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms; the virtual human body model is used to graphically display monitoring parts based on the values of preset evaluation parameters among the at least one parameter, wherein the preset evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveforms; responding to a review operation for any target monitoring point on the trend parameter waveforms, determining the target parameter value corresponding to the target monitoring point; and updating the displayed virtual human body model based on the target parameter value.
[0042] Thus, by simultaneously displaying real-time monitoring images and monitoring evaluation images on the monitoring interface of the monitoring equipment, medical staff can quickly browse historical monitoring data. Furthermore, users can review multiple sets of monitoring data corresponding to any target monitoring point on the trend parameter waveform. The browsing operation is simple and time-efficient, enabling more timely detection of changes in the patient's condition and reducing the risk of delays in diagnosis. In addition, the monitoring interface of the monitoring equipment can graphically update and display the monitoring sites based on the reviewed historical monitoring data, enabling targeted observation and management of the monitoring sites. It can also centrally present the correlation changes between various monitoring data corresponding to any monitoring point, thereby improving the efficiency of medical staff in interpreting relevant monitoring data.
[0043] Please see Figure 1 , Figure 1 The diagram shown is a structural schematic of a monitoring system 1000 provided in an embodiment of this application. The monitoring system 1000 includes a monitoring device 100 and a third-party device 300 communicatively connected to the monitoring device 100. Both the monitoring device 100 and the third-party device 300 can be used to acquire patient monitoring data.
[0044] The monitoring device 100 can be, but is not limited to, any one or a combination of a patient monitor, a local central station, a remote central station, a cloud service system, and a mobile terminal. In this embodiment, the monitoring device 100 can be a patient monitor used to monitor patient parameters in real time. The patient monitor can include bedside monitors, wearable monitors, etc. The third-party device 300 includes a central station. The central station is used to receive monitoring data sent by the patient monitor and to centrally monitor the monitoring data. The central station can include at least one of a local central station and a remote central station.
[0045] It should be noted that the central station connects the monitors in one or more departments via a network to achieve real-time centralized monitoring and massive data storage. For example, the central station stores, but is not limited to, monitoring data, basic patient information, medical history, and diagnostic information.
[0046] In some embodiments, the monitor and the central station can form an interconnected platform via BeneLink to enable data communication between them. For example, the central station can access the monitoring data detected by the monitor. In other embodiments, the monitor and the central station can also establish a data connection via a communication module. The communication module can be, but is not limited to, Wi-Fi, Bluetooth, or mobile communication modules such as 2G, 3G, 4G, and 5G.
[0047] Specifically, in this embodiment, the monitoring device 100 includes bedside monitors, ward round monitors, ventilator monitors, anesthesia monitors, defibrillator monitors, intracranial pressure monitors, and electrocardiogram monitors. The monitoring device 100 includes, but is not limited to, a processor 20 and a display 30. The display 30 is used to display a monitoring interface. The monitoring device 100 can be a portable monitoring device, a transportable monitoring device, or a mobile monitoring device.
[0048] Skilled technicians should understand that Figure 1 This is merely an example of the components included in the monitoring system 1000 and does not constitute a limitation on the monitoring system 1000. Furthermore, the monitoring device 100 and the monitoring system 1000 may include components beyond those specified in the original text. Figure 1 The monitor may include more or fewer components, or a combination of certain components, or different components. For example, the monitoring device 100 may also include a power module, and the monitoring system 1000 may also include a positioning and navigation device, a printing device, etc.
[0049] In some embodiments, the processor 20 is configured to: acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, the parameter values of the at least one parameter including real-time parameter values and historical parameter values; and respond to a preset first operation for the monitoring interface, display a real-time monitoring image in a first display area of the monitoring interface, and display a monitoring evaluation image in a second display area of the monitoring interface; wherein the real-time monitoring image is used to present at least one of real-time parameter values and real-time parameter waveforms, and the monitoring evaluation image is used to present trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms; the display time of the trend parameter waveforms is greater than the display time of the real-time parameter waveforms; the virtual human body model is used to graphically display the monitoring parts according to the values of preset evaluation parameters of the at least one parameter, the preset evaluation parameters being at least partially the same as the parameters corresponding to the trend parameter waveforms.
[0050] This monitoring interface can simultaneously display real-time monitoring data and the changing trends of some or all monitoring data of interest to medical staff. It can also present the correlation between the values of preset assessment parameters corresponding to a specific monitoring point, allowing medical staff to quickly review the overall situation of the patient's monitoring data. The browsing operation is simple and time-efficient, enabling more timely detection of changes in the patient's condition and reducing the risk of delays in treatment. Furthermore, based on the values of preset assessment parameters, the monitoring site is graphically displayed on the monitoring device's interface, allowing medical staff to quickly understand the patient's comprehensive physiological state.
[0051] In some embodiments, the processor 20 is further configured to: acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, the parameter values of the at least one parameter including real-time parameter values and historical parameter values; display a real-time monitoring image and a monitoring evaluation image on the monitoring interface of the monitoring device according to the monitoring data, wherein the real-time monitoring image is used to present at least one of real-time parameter values and real-time parameter waveforms, and the monitoring evaluation image is used to present a trend parameter waveform of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveform; the display time of the trend parameter waveform is longer than the display time of the real-time parameter waveform; the virtual human body model is used to graphically display the monitoring part according to the value of a preset evaluation parameter among the at least one parameter, the preset evaluation parameter being at least partially the same as the parameter corresponding to the trend parameter waveform; respond to a review operation for any target monitoring point on the trend parameter waveform, determine the target parameter value corresponding to the target monitoring point; and update the display of the virtual human body model according to the target parameter value.
[0052] In some embodiments, the processor 20 is further configured to: acquire monitoring data, wherein the monitoring data includes parameter values of at least one parameter, the parameter values of the at least one parameter including real-time parameter values and historical parameter values; display real-time monitoring images and monitoring evaluation images on the monitoring interface of the monitoring device according to the monitoring data, wherein the real-time monitoring images are used to present at least one of real-time parameter values and real-time parameter waveforms, and the monitoring evaluation images are used to simultaneously present trend parameter waveforms of at least some of the at least one parameter and a virtual human body model associated with the trend parameter waveforms; the display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms; the virtual human body model is used to graphically display the monitoring parts according to the trend parameter waveforms; wherein the trend parameter waveforms include real-time waveforms and historical waveforms; dynamically display the real-time status of the monitoring parts based on the real-time waveforms and the virtual human body model, and statically display the historical status of the monitoring parts based on the historical waveforms and the virtual human body model.
[0053] Thus, by simultaneously displaying real-time monitoring images and monitoring evaluation images on the monitoring interface of the monitoring equipment, medical staff can quickly browse historical monitoring data. Furthermore, users can review multiple sets of monitoring data corresponding to any target monitoring point on the trend parameter waveform. The browsing operation is simple and time-efficient, enabling more timely detection of changes in the patient's condition and reducing the risk of delays in diagnosis. In addition, the monitoring interface of the monitoring equipment can graphically update and display the monitoring site and preset evaluation parameter values based on the reviewed historical monitoring data, enabling targeted observation and management of the monitoring site. It can also centrally present the correlation changes between various monitoring data corresponding to any monitoring point, thereby improving the efficiency of medical staff in interpreting relevant monitoring data.
[0054] In some embodiments, the monitoring device 100 further includes a sensor 10. The sensor 10, processor 20, and display 30 can be connected via a wired communication protocol or a wireless communication protocol to enable data interaction between the sensor 10, processor 20, and display 30. Wireless communication technologies include, but are not limited to, various generations of mobile communication technologies (2G, 3G, 4G, and 5G), wireless networks, Bluetooth, ZigBee, UWB, NFC, etc.
[0055] Specifically, sensor 10 is used to collect patient monitoring data. The monitoring parameters may include physiological parameters. Physiological parameters include, but are not limited to, one or more of the following vital signs: electrocardiogram, respiration, pulse oxygen saturation, heart rate, blood oxygen saturation, non-invasive blood pressure, and invasive blood pressure.
[0056] In some embodiments, the sensor 10 can be independently disposed outside the monitoring device 100 but detachably connected to the monitoring device 100. The sensor 10 can be used to collect patient monitoring data in real time. The processor 20 is also used to process the monitoring data signals from the sensor 10. The sensor 10 includes, but is not limited to, monitoring parameters such as electrocardiogram (ECG), respiration, blood oxygen saturation, blood pressure, cerebral blood flow, cerebral blood oxygen saturation, electroencephalogram (EEG), and cerebrovascular regulation. The monitoring device 100 is provided with several connection interfaces. These connection interfaces can be, but are not limited to, ECG / respiration interfaces, blood oxygen saturation interfaces, invasive blood pressure interfaces, non-invasive blood pressure interfaces, cerebral blood flow interfaces, cerebral blood oxygen saturation interfaces, EEG interfaces, and cerebrovascular regulation interfaces. The monitoring parameter monitoring accessories are electrically connected to the monitoring device 100 through the connection interfaces. In other embodiments, the sensor 10 can also be integrated into the monitoring device 100.
[0057] In some other embodiments, the monitoring device 100 may not include the sensor 10, and the monitoring device 100 may receive monitoring data collected by external monitoring accessories through a communication module.
[0058] The processor 20 can also be used to control the coordination of various functional devices within the monitoring device 100. Specifically, the processor 20 processes vital sign parameters such as electrocardiogram, respiration, blood oxygen, blood pressure, cerebral blood flow, cerebral blood oxygen, electroencephalogram, and cerebrovascular regulation collected by the sensor 10 to obtain monitoring data, and controls the display 30 to display the monitoring data. The monitoring data includes, but is not limited to, at least one of parameter values and parameter waveforms.
[0059] In this embodiment, the display 30 is used to provide a visual display output to the user. Specifically, the display 30 can be used to provide a visual display interface to the user, such as, but not limited to, a monitoring interface, a monitoring parameter setting interface, an alarm parameter interface, etc. The monitoring interface displayed on the display 30 is used to display the monitoring data monitored within a preset time period.
[0060] Specifically, the display 30 can be a touch display or a display 30 with an input panel, that is, the display 30 can be used as an input / output device.
[0061] In some embodiments, the monitoring device 100 further includes an alarm module 50 connected to the processor 20. The alarm module 50 outputs alarm prompts to enable medical personnel to take appropriate rescue measures and to monitor the patient's condition and the device's operating status in real time, thereby preventing negligence by medical personnel or patients and improving monitoring safety. The alarm module 50 may include, but is not limited to, alarm lights and alarm speakers. In this embodiment, the alarm module includes a light-emitting diode and / or a buzzer to generate audible and visual alarm signals. When one or more monitored parameters exceed a preset threshold, such as heart rate below a preset threshold or blood pressure above a preset threshold, the alarm module 50 is triggered, thereby issuing an alarm to medical personnel. Specific alarm information can be displayed on the display 30, played through an audio alarm speaker, or printed out using a printing device.
[0062] To enable user interface and data exchange, in addition to the display 30, the monitoring device 100 may also include an input / output device 60 connected to the processor 20. The input / output device 60 can be used to allow the user to input operation commands and output a visual display interface to the user. The input / output device 60 includes, but is not limited to, input devices such as keyboards, mice, touch screens, and remote controls, and output devices such as printers, voice playback devices, USB ports, Ethernet connections, or other interfaces and network ports used to transmit monitoring data to and from a connected computer or hospital LAN (HLAN). Specifically, in some embodiments, the input / output device 60 enables the monitoring device 100 to interface with a computer, and the user can input configuration parameters through the computer and the input / output device 60. In other embodiments, the input / output device 60 enables the monitoring device 100 to connect to the network interface of the HLAN and can receive additional timestamped clinical information, such as blood gas data and laboratory results, which the user can use as additional input configuration parameters through the HLAN and the input / output device 60.
[0063] The monitoring device 100 may also include a communication module 70 connected to the processor 20. The processor 20 is also used to control the communication module 70 to send vital sign monitoring data collected by the sensor 10 to a third-party device 300. In some embodiments, as before, the display 30 may also serve as an input / output device 60, such as a touch screen.
[0064] In some embodiments, the monitoring device 100 can establish data communication with a third-party device 300 through a communication module 70. The communication module 70 can be, but is not limited to, Wi-Fi, Bluetooth, NFC, ZigBee, UWB, or mobile communication modules such as 2G, 3G, 4G, and 5G. Therefore, patient monitoring data and alarm information can be wirelessly transmitted through the communication module 70 of the monitoring device 100 to the third-party device 300 in the hospital for centralized monitoring. In other embodiments, the monitoring device 100 can also establish a connection with the third-party device 300 via a cable. The third-party device 300 can be, but is not limited to, a central monitoring service station device or a bedside monitor. The third-party device 300 can also be a cloud service system or a mobile terminal such as a mobile phone, tablet, or personal computer.
[0065] The number of monitoring devices 100 may include one or more. A third-party device 300 establishes data communication with at least one monitoring device 100. The third-party device 300 includes a processor 302, a display 304, a memory 306, and an alarm module 308. In some embodiments, the functions of the processor 302, display 304, memory 306, and alarm module 308 of the third-party device 300 may include the same functions as those of the processor 20, display 30, memory 40, and alarm module 50 of the monitoring device 100, which will not be elaborated here. For example, the processor 302 may also be used to process monitoring data collected by the sensor 10 and control the display 304 to display the monitoring data. The functions of the processor 302, display 304, and memory 306 of the third-party device 300 may also include functions not possessed by the processor 20, display 30, and memory 40 of the monitoring device 100. For example, the processor 20 may receive and process monitoring data directly sent by different monitoring devices 100 through the communication module 70.
[0066] Processors 20 and 302 can be Central Processing Units (CPUs), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. Processor 20 is the control center of monitoring device 100, connecting all parts of monitoring device 100 via various interfaces and lines. Processor 20 is also the control center of third-party device 300, connecting all parts of third-party device 300 via various interfaces and lines.
[0067] The processors 20 and 302 are also used to execute all steps in the methods for displaying and reviewing the monitoring data described below. For example, Figure 2 Steps S201 to S203 in the process, Figure 8 Steps S701 to S707, etc. Specifically, memory 40 stores program code 401, memory 306 stores program code 307, and processors 20 and 302 are used to call program codes 401 and 307 in memory 40 and 306 to execute all steps in the following monitoring data display method and the following monitoring data review method.
[0068] Memory 40, 306 can be used to store patient monitoring data. Memory 40, 306 can also be used to store computer programs and / or modules. Processors 20, 302 implement various functions of monitoring device 100 and third-party device 300 by running or executing computer programs and / or modules stored in memory 40, 306, and by accessing data stored in memory 40, 306. Memory 40, 306 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, applications required for multiple functions (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). In addition, memory 40, 306 may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.
[0069] This invention discloses a method for displaying monitoring data. It can simultaneously display real-time monitored data and the changing trends of some or all monitoring data of interest to medical staff, and also present the correlation changes between the values of preset evaluation parameters corresponding to a specific monitoring point. This allows medical staff to quickly browse the overall situation of the patient's monitoring data, and the browsing operation is simple and time-saving, enabling more timely detection of changes in the patient's condition and reducing the risk of delays in diagnosis. Furthermore, based on the values of preset evaluation parameters, the monitoring location is graphically displayed on the monitoring interface of the monitoring device, allowing medical staff to quickly and accurately understand the patient's comprehensive physiological status. These will be described in detail below.
[0070] Please refer to the following: Figure 1 and Figure 2 , Figure 2 The diagram shows a flowchart of a monitoring data display method according to an embodiment of this application. The monitoring data display method is applied to the aforementioned monitoring system 1000. Specifically, the monitoring data display method can be applied independently to the aforementioned monitoring device 100, independently to the aforementioned third-party device 300, or simultaneously to both the monitoring device 100 and the third-party device 300. In this embodiment, the application of the monitoring data display method to the aforementioned monitoring device 100 is used as an example for explanation. The monitoring device 100 displays a monitoring interface, and the monitoring data display method includes the following steps.
[0071] Step S201: Obtain monitoring data, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values.
[0072] In some embodiments, acquiring monitoring data specifically includes acquiring monitoring data monitored within a preset time period. The preset time period can be customized through the settings menu of the monitoring device 100, or it can be a factory default preset, such as 1 hour, 2 hours, 5 hours, etc. In this embodiment, the preset time period refers to the set of all times during which the monitoring device 100 continuously or at preset time intervals monitors the patient's vital signs parameters. The monitoring data may also include parameter waveforms corresponding to the parameter values of at least one parameter. The parameter waveforms are continuously generated over time. The parameter waveforms include real-time parameter waveforms displayed on the monitoring device 100 and historical parameter waveforms that are hidden or masked. The monitoring data includes brain protection-related monitoring data.
[0073] It should be noted that the embodiments of this application are illustrated using brain protection monitoring as an example. Those skilled in the art should understand that the interface display scheme of this application can also be applied to the protection monitoring of other organs, systems or combinations thereof.
[0074] Please see Figure 3 , Figure 3The image shows the monitoring interface 301 displayed on the monitoring device 100. The monitoring interface 301 displays brain protection-related monitoring data. This data includes cerebral blood flow-related monitoring data, electroencephalogram (EEG)-related monitoring data, cerebral oxygen saturation-related monitoring data, and cerebral vascular regulation-related monitoring data. The brain protection-related monitoring data also includes electrocardiogram (ECG) and blood oxygen saturation (SpO2). In this embodiment, cerebral autoregulation (CA) refers to cerebral vascular reactivity (CVR). CVR refers to the ability of cerebral blood vessels to dilate or constrict under the influence of various factors affecting vasomotor activity. The cerebral blood flow-related monitoring data includes, but is not limited to, intracranial pressure (ICP), cerebral perfusion pressure (CPP), pressure reactivity index (PRx), and mean arterial pressure (MAP). Understandably, optimal cerebral perfusion pressure (CPPopt) can be calculated using PRx and CPP. CPPopt reflects the level of cerebral perfusion pressure (CPP) under optimal autoregulation. EEG-related monitoring data includes, but is not limited to, electroencephalogram (EEG), bispectral index (BIS), amplitude-integrated electroencephalogram (aEEG), and digital substraction angiography (DSA) spectrograms. Cerebral oxygenation-related monitoring data includes, but is not limited to, regional cerebral oxygen saturation (rSO2) and transcranial Doppler (TCD) ultrasound data. Cerebrovascular regulation-related monitoring data includes, but is not limited to, end-tidal carbon dioxide concentration or partial pressure (EtCO2).
[0075] In some embodiments, the monitoring interface 301 includes a status bar 31, a menu bar 33, and a taskbar 35 positioned between the status bar 31 and the menu bar 33. The status bar 31 is displayed at the top of the monitoring interface 301, the menu bar 33 is displayed at the bottom, and the taskbar 35 can be displayed between the top and bottom bars, i.e., in the middle, for easy user observation and operation. The status bar 31 can be used to display status icons. Status icons may include, but are not limited to, network icons, battery level icons, monitoring type icons, patient basic information icons, etc.
[0076] The menu bar 33 can be used to display function menu item icons. These icons may include control icons 331. Users can manipulate the control icons 331 to adjust the content displayed on the monitoring interface 301. In some embodiments, the control icons 331 may also be located in the status bar 31 or the taskbar 35 of the monitoring interface 301. In other embodiments, the menu bar icons 33 may also include volume control icons, power on / off icons, menu settings icons, etc.
[0077] Step S203: A real-time monitoring image is displayed in the first display area of the monitoring interface, and a monitoring evaluation image is displayed in the second display area of the monitoring interface; wherein, the real-time monitoring image is used to present at least one of real-time parameter values and real-time parameter waveforms, and the monitoring evaluation image is used to present trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveform; the display time of the trend parameter waveform is longer than the display time of the real-time parameter waveform; the virtual human body model is used to graphically display the monitoring part according to the value of the preset evaluation parameter of the at least one parameter, and the preset evaluation parameter is at least partially the same as the parameter corresponding to the trend parameter waveform.
[0078] In some embodiments, the monitoring and evaluation images can also be used to simultaneously display trend parameter waveforms of at least some of the parameters, and a virtual human body model associated with the trend parameter waveforms; the display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms; the virtual human body model is used to graphically display the monitored parts according to the trend parameter waveforms; wherein, the trend parameter waveforms include real-time waveforms and historical waveforms; the real-time status of the monitored parts is dynamically displayed based on the real-time waveforms and the virtual human body model, and the historical status of the monitored parts is statically displayed based on the historical waveforms and the virtual human body model.
[0079] The trend parameter waveform can be pre-established with the display method of the virtual human body model to achieve dynamic display of the real-time status of the monitored part based on the real-time waveform and the virtual human body model, and static display of the historical status of the monitored part based on the historical waveform and the virtual human body model. The relationship between the virtual human body model and the trend parameter waveform is that if the vital sign parameter corresponding to the trend parameter waveform is detected at a certain human body part, then the virtual human body model displayed on the evaluation monitoring image corresponds to the detected human body part. For example, when the trend parameter waveform corresponds to brain-related vital sign parameters, the monitored part may be the human brain, and the virtual human body model can correspond to the human brain. Similarly, when the trend parameter waveform corresponds to heart-related vital sign parameters, the monitored part may be the heart, and the virtual human body model can correspond to the heart. It should be noted that the real-time waveform refers to the displacement curve of the monitored parameter values collected within a preset time period from the current moment, while the historical waveform refers to the displacement curve of the monitored parameter values collected over a certain historical period.
[0080] Optionally, in some embodiments, displaying a real-time monitoring image in a first display area of the monitoring interface and displaying a monitoring evaluation image in a second display area of the monitoring interface specifically includes: responding to a preset first operation for the monitoring interface, controlling the simultaneous display of a real-time monitoring image and a monitoring evaluation image based on monitoring data, wherein the real-time monitoring image is displayed in the first display area of the monitoring interface and the monitoring evaluation image is displayed in the second display area of the monitoring interface.
[0081] Optionally, in some embodiments, before responding to a preset first operation for the monitoring interface, the display method further includes: displaying a real-time monitoring image on the monitoring interface based on monitoring data. The real-time monitoring image is used to present at least one of the real-time parameter values and real-time parameter waveforms. This allows for controlled display of the monitoring and evaluation image on the corresponding display interface of the real-time monitoring image.
[0082] In this embodiment, the real-time monitoring image is displayed within the taskbar 35. The real-time waveform of at least one parameter is displayed in the upper left area of the taskbar 35, and the real-time value of at least one parameter is displayed in the right and lower left areas of the taskbar 35. In other embodiments, the real-time waveform of at least one parameter may be displayed in the left area of the taskbar 35, while the real-time value of at least one parameter may be displayed in the right area of the taskbar 35. The real-time parameter values and waveforms are arranged from left to right and from top to bottom according to the user's attention, conforming to the user's usual observation habits and facilitating viewing, which also greatly saves medical staff time in diagnosing the condition. It should be noted that the specific display arrangement of the real-time parameter values and waveforms in the taskbar 35 is not specifically limited in this application. In some embodiments, the real-time monitoring image is only used to present the real-time parameter values or waveforms.
[0083] In this embodiment, at least one parameter includes, but is not limited to, at least one of electrocardiogram (ECG), ICP, CPP, MAP, EEG, BIS, aEEG, rSO2, and etCO2. In other embodiments, at least one parameter may also include, but is not limited to, monitoring parameters related to cardiac protection, lung protection, the nervous system, the blood system, the urinary system, etc. The monitoring parameter category of at least one parameter can be user-defined or set by default at the factory of the monitoring device. The preset evaluation parameter can be any combination of one or more of the parameters.
[0084] It should be noted that the term "real-time" can refer to the most recently acquired timestamped sample, which is not necessarily the current moment. For example, if a new SpO2 sample is acquired every two seconds, the real-time parameter value might be from a sample acquired up to two seconds before the current moment. Here, the real-time parameter value refers to the value most recently acquired. The real-time parameter waveform refers to the parameter waveform corresponding to a preset time period preceding the current moment. The preset time period is either a user-defined display duration for the real-time parameter waveform or a factory default setting for the monitoring device, such as 10 minutes, 20 minutes, or 30 minutes.
[0085] The preset evaluation parameter can be a parameter value corresponding to the latest monitoring point on the trend parameter waveform (i.e., a real-time parameter value); or, the preset evaluation parameter can be a parameter value corresponding to a certain historical monitoring point on the trend parameter waveform.
[0086] In this embodiment, the waveform types and number of real-time parameter waveforms are greater than those of trend parameter waveforms. The waveform types of real-time parameter waveforms correspond to the parameter types. The waveform types of real-time parameter waveforms may include at least some of the waveform types of trend parameter waveforms.
[0087] Specifically, the monitoring and evaluation image presents trend parameter waveforms corresponding to the waveform types of all real-time parameter waveforms; or, the monitoring and evaluation image presents trend parameter waveforms corresponding to the waveform types of some real-time parameter waveforms; or, the monitoring and evaluation image presents trend parameter waveforms other than the waveform types of some real-time parameter waveforms. For example, the waveform types of the trend parameter waveforms include MAP waveforms, rSO2-1 waveforms, and rSO2-2 waveforms, while the waveform types of the real-time parameter waveforms do not include MAP waveforms, rSO2-1 waveforms, and rSO2-2 waveforms. The waveform types of both the trend parameter waveforms and the real-time parameter waveforms include ICP waveforms, Fp1-T3 waveforms, Fp2-T4 waveforms, C3-01 waveforms, C4-02 waveforms, and EtCO2 waveforms. The preset evaluation parameters and the parameters corresponding to the trend parameter waveforms can be partially or completely the same. In some embodiments, the waveform types and number of real-time parameter waveforms correspond to the waveform types and number of trend parameter waveforms.
[0088] The preset first operation can be, but is not limited to, single-click, double-click, right-click, long-press, or swipe operations. In this embodiment, the preset first operation refers to an operation that meets preset parameter conditions, such as a trigger operation in a preset area, or an operation where the first operation parameter value corresponding to the first operation meets a preset parameter threshold. This avoids the problem of users accidentally performing other operations on the monitoring interface 301, which could trigger changes in the displayed content of the monitoring interface 301, thereby enhancing the safety of the monitoring device 100. In one embodiment, displaying a real-time monitoring image in the first display area of the monitoring interface and a monitoring evaluation image in the second display area of the monitoring interface includes:
[0089] In response to a preset first operation on the monitoring interface, the display size of the real-time monitoring image is reduced to display the reduced real-time monitoring image in a first display area and a monitoring evaluation image in a second display area, wherein the real-time monitoring image and the monitoring evaluation image do not overlap.
[0090] Please refer to the following: Figures 2 to 4 , Figure 4 The diagram shown is an interface diagram of the monitoring device 100 provided in the first embodiment of the present invention, in which a window interface 340 pops up on the monitoring interface 301 in response to a preset first operation. Figure 4As shown, the monitoring interface 301 includes a first display area 32 and a second display area 34, and the first display area 32 and the second display area 34 are adjacent to each other and do not overlap, that is, the monitoring and evaluation image and the real-time monitoring image do not overlap. Specifically, based on a preset first operation in response to the monitoring interface 301, the taskbar 35 is divided into a first display area 32 and a second display area 34. The first display area 32 is located on the left side of the taskbar 35, and the second display area 34 is located on the right side of the taskbar 35. In this embodiment, the second display area 34 displays a window interface 340. The window interface 340 displays the monitoring and evaluation image. In some other embodiments, the monitoring and evaluation image may also be directly displayed in the second display area 34.
[0091] In some embodiments, in response to a preset first operation on the monitoring interface, the display size of the real-time monitoring image is reduced to display the reduced-size real-time monitoring image in a first display area and a monitoring evaluation image in a second display area, including:
[0092] In response to a preset first operation on the monitoring interface, the display size of the real-time monitoring image is reduced to display the reduced real-time monitoring image in a first display area, and a window interface is displayed in a corresponding second display area, where the monitoring evaluation image is displayed.
[0093] Specifically, in this embodiment, in response to a preset first operation on the control icon 331, the display size of the real-time monitoring image is reduced so that the reduced real-time monitoring image is displayed in the first display area 32, and a window interface 340 is displayed in the second display area 34, and the monitoring evaluation image is displayed in the window interface 340.
[0094] In some embodiments, the response to a preset first operation for the monitoring interface may also be a response to a preset first operation for a real-time monitoring image, for example, a response to a preset first operation for the position corresponding to the real-time parameter waveform of the real-time monitoring image.
[0095] In another embodiment, in response to a preset first operation on the monitoring interface, displaying a real-time monitoring image in a first display area of the monitoring interface and displaying a monitoring evaluation image in a second display area of the monitoring interface includes:
[0096] In response to a preset first operation on the monitoring interface, a real-time monitoring image is displayed in a first display area of the monitoring interface, and a window interface is displayed in a corresponding second display area, and a monitoring evaluation image is displayed in the window interface, wherein the real-time monitoring image is at least partially covered by the monitoring evaluation image.
[0097] Please refer to the following: Figures 2 to 5 , Figure 5The diagram shown is an interface diagram of the monitoring device 100 provided in the second embodiment of the present invention, in which a window interface 340 pops up on the monitoring interface 301 in response to a preset first operation. Figure 5 As shown, the monitoring interface 301 includes a first display area 32 and a second display area 34, and the first display area 32 and the second display area 34 overlap. Specifically, based on a preset first operation in response to the monitoring interface 301, a window interface 340 pops up above the taskbar 35, and the window interface 340 covers a portion of the real-time monitoring image. The first display area 32 covers the entire taskbar 35, and the second display area 34 is located in the left area of the taskbar 35, that is, the second display area 34 and the first display area 32 at least partially overlap. In some embodiments, the monitoring evaluation image partially overlaps with the real-time monitoring image, and the monitoring evaluation image partially covers the real-time monitoring image. In some modified embodiments, the second display area 34 completely overlaps with the first display area 32, that is, the monitoring evaluation image completely overlaps with the real-time monitoring image, and the monitoring evaluation image covers the top of the real-time monitoring image. In this embodiment, the monitoring evaluation image covers the real-time parameter waveform in the real-time monitoring image, improving the visual effect for the user to observe the monitoring evaluation image. In this embodiment, the second display area 34 displays a window interface 340. The monitoring evaluation image is displayed within the window interface 340. In some other embodiments, the monitoring and evaluation images may also be displayed directly in the second display area 34.
[0098] In some embodiments, the display method further includes:
[0099] When an adjustment operation is detected on the window interface, the display position and / or display size of the window interface are adjusted, and the display position and / or display size of the monitoring and evaluation image are adjusted, wherein the adjustment operation includes, but is not limited to, at least one of a move operation, a zoom-out operation, and a zoom-in operation.
[0100] The window interface 340 can move, zoom in, or zoom out of the monitoring and evaluation image based on user input. For example, the window interface 340 can be defined to implement movement operations with a single finger, and the window interface 340 can be defined to implement zoom in and zoom out operations with two or more fingers. The movement, zoom out, and zoom in operations can adopt existing image adjustment operations, and this invention does not impose specific limitations.
[0101] The display methods also include:
[0102] In response to a preset second operation on the monitoring interface, a real-time monitoring image is displayed on the monitoring interface, but the monitoring evaluation image is not displayed, wherein the real-time monitoring image covers the first display area and the second display area.
[0103] The preset second operation can be, but is not limited to, single-click, double-click, right-click, long-press, or swipe operations. The preset second operation can be different from or the same as the preset second operation. For example, the preset first operation is clicking control icon 331, and the second operation is clicking the close button 341 on the window interface 340 or clicking control icon 331. The preset second operation refers to an operation that meets preset parameter conditions, such as a trigger operation in a preset area, or an operation where the second operation parameter value meets a preset parameter threshold. This prevents users from accidentally performing other operations on the monitoring interface 301, thus avoiding changes to the displayed content of the monitoring interface 301 and enhancing the safety of the monitoring device 100.
[0104] like Figure 4 and Figure 5 As shown, the window interface 340 includes a close button 341. The display method also includes:
[0105] In response to a close operation using the close button, the display size of the real-time monitoring image is either enlarged or kept constant, so that the real-time monitoring image covers both the first and second display areas.
[0106] In response to the close operation of the close button 341, the monitoring interface 301 resumes displaying the real-time monitoring image, that is, it is displayed in full screen within the taskbar 35, so that the real-time monitoring image covers the first display area 32 and the second display area 34. In this way, medical staff can more intuitively view the real-time changes of the monitoring data.
[0107] Please see Figure 4 and Figure 5 The display methods also include:
[0108] Based on the monitoring data within a preset first display time period, the real-time parameter waveform and the real-time parameter value are displayed in the first display area.
[0109] Based on the monitoring data within the preset second display time length, the trend parameter waveform is displayed in the trend parameter waveform area, wherein the first display time length is shorter than the second display time length.
[0110] Specifically, in this embodiment, the first display area 32 includes a first area 322 and a second area 324. The second display area 34 includes a trend parameter waveform area 342 adjacent to the first area 322. The step of displaying the real-time parameter waveform and the real-time parameter value in the first display area based on monitoring data within a preset first display time period includes: displaying the real-time parameter waveform in the first area and the real-time parameter value in the second display area based on monitoring data within a preset first display time period.
[0111] The preset first display time length and preset second display time length can be user-defined or set by the factory default of the monitoring device. For example, the preset first display time length is 20 minutes, 30 minutes, etc., and the preset second display time length is 2 hours, 3 hours, etc. In this embodiment, the first region 322 and the second region 324 are arranged adjacent to each other, with the second region 324 located to the right and bottom of the first region 322. In some embodiments, the first region 322 can also be arranged side by side with the second region 324 to avoid visual confusion caused by the trend parameter waveform and the real-time parameter waveform being connected together, thus providing users with a better observation effect of the trend parameter waveform and the real-time parameter waveform. Optionally, the trend parameter waveform area 342 is arranged adjacent to the first region 322 used to display the real-time parameter waveform, thereby providing users with a better observation effect of the trend parameter waveform and the real-time parameter waveform. In some other embodiments, the trend parameter waveform area 342 can also be arranged adjacent to the second region 324; or, it can be arranged adjacent to both the first region 322 and the second region 324 simultaneously.
[0112] Understandably, since the second display time is longer than the first display time, medical staff can intuitively observe and understand the changing trends of the patient's monitored areas from the trend parameter waveform, which is beneficial for medical staff to diagnose the patient's condition.
[0113] The trend parameter waveform area includes at least one waveform display area, and the display method also includes:
[0114] Determine the waveform type corresponding to the trend parameter waveform;
[0115] Trend parameter waveforms of the same waveform type can be displayed in the same waveform display area, while trend parameter waveforms of different waveform types can be displayed in different waveform display areas.
[0116] like Figure 4As shown, in this embodiment, at least one waveform display area includes four waveform display areas. The four waveform display areas respectively display cerebral blood flow-related waveforms, cerebral blood oxygenation-related waveforms, electroencephalogram (EEG)-related waveforms, and cerebrovascular regulation-related waveforms. Cerebral blood flow-related waveforms include MAP waveforms, PRx waveforms, CPP waveforms, and ICP waveforms, etc. Cerebral blood oxygenation-related waveforms include rSO2-1 and rSO2-2 waveforms, etc. EEG-related waveforms include Fp1-T3 waveforms, Fp2-T4 waveforms, C3-O1 waveforms, and C4-O2 waveforms, etc. Cerebrovascular regulation-related waveforms include EtCO2 waveforms, etc.
[0117] Optionally, the display method further includes highlighting the closed area 3421 jointly enclosed by the cerebral oxygenation trend waveform and the cerebral oxygenation threshold baseline. Highlighting includes a combination of one or more of the following: highlighting, flashing, color changing, adding a prompt, changing transparency, and changing the background color of the closed area 3421. It should be noted that the cerebral oxygenation threshold baseline refers to a straight line passing through the lower or higher cerebral oxygenation threshold and parallel to the time axis corresponding to the cerebral oxygenation trend waveform. It should also be noted that the waveform type of the trend parameter waveform can be distinguished based on the monitoring data obtained through sensors or dedicated instruments; or it can be divided according to the monitoring site, etc. The waveform types and number of trend parameter waveforms can also be user-defined or set by the factory default of the monitoring device 100; this invention does not impose specific limitations. For example, the trend parameter waveform may only include the MAP and CPP waveforms in the cerebral blood flow related waveforms, or it may not include any cerebral blood flow related waveforms. In some other embodiments, the window interface 340 also includes a setting item 3413, which responds to a trigger operation on the setting item 3413, controls the display of the attribute setting interface, and allows setting the waveform type and number of trend parameter waveforms through the attribute setting interface.
[0118] The display methods also include:
[0119] Each waveform display area displays a first title corresponding to the waveform type.
[0120] The first title displayed in the waveform display area corresponding to cerebral blood flow-related waveforms is, but is not limited to, "Cerebral Blood Flow," "Cerebral Blood Flow Related Waveforms," etc. The first title displayed in the waveform display area corresponding to cerebral blood oxygenation-related waveforms is, but is not limited to, "Cerebral Blood Oxygen," "Cerebral Oxygen," "Cerebral Blood Oxygen Related Waveforms," etc. The first title displayed in the waveform display area corresponding to EEG-related waveforms is, but is not limited to, "EEG," "EEG Waves," "EEG Related Waveforms," etc. The first title displayed in the waveform display area corresponding to cerebrovascular regulation-related waveforms is, but is not limited to, "Cerebral Vascular Regulation," "Cerebral Vascular Reactivity," "Cerebral Vascular Regulation Related Waveforms," etc.
[0121] In this embodiment, a time control 3415 is displayed in the second display area 34. Based on monitoring data within a preset second display time period, a trend parameter waveform is displayed in the trend parameter waveform area, specifically including:
[0122] When the time control receives a time selection command, the target display time length is determined and used as the second display time length.
[0123] Based on the monitoring data within the preset second display time period, at least one trend parameter waveform is displayed in the trend parameter waveform area.
[0124] The second display duration can be user-defined or set to the factory default settings of the monitoring device 100, such as 2 hours, 1.5 hours, etc. In this embodiment, the time control 3415 can be displayed within the trend parameter waveform area 342, or in an area outside the trend parameter waveform area 342 in the second display area 34. In other embodiments, the time control 3415 can also be displayed in the attribute setting interface.
[0125] Based on the monitoring data within a preset second display time period, at least one trend parameter waveform is displayed in the trend parameter waveform area, specifically including:
[0126] Based on the monitoring data within the second display time period prior to the current moment, the trend parameter waveform is displayed in the trend parameter waveform area.
[0127] For example, assuming the second display time is 2 hours, the trend parameter waveform displayed in trend parameter waveform area 342 is a compressed waveform based on monitoring data from the 2 hours prior to the current moment. In this way, medical staff can quickly understand the changing trend of the current monitoring data based on the trend parameter waveform, enabling them to predict future measurement results.
[0128] Based on the monitoring data within the target display time period prior to the current moment, the trend parameter waveform is displayed in the trend parameter waveform area, specifically including:
[0129] A two-dimensional coordinate graph is constructed within the trend parameter waveform area. The horizontal axis of the two-dimensional coordinate graph is the time axis, and the vertical axis is the parameter axis. The time axis represents the recording time of all monitoring points at each acquisition time within the target display time length, and the parameter axis represents the parameter value of all monitoring points at each acquisition time within the target display time length.
[0130] Recording time and parameter values are mapped to a two-dimensional coordinate graph to display the trend parameter waveform, where the trend parameter waveform is arranged along a direction parallel to the time axis.
[0131] In this embodiment, in the two-dimensional coordinate graph, all trend parameter waveforms can share the same time axis. Different types of trend parameter waveforms correspond to different parameter axes, and the same type of trend parameter waveforms correspond to the same or different parameter axes. For example, the parameter axes corresponding to MAP waveform and CPP waveform are the same, while the parameter axis corresponding to ICP waveform is different from that corresponding to MAP waveform and CPP waveform.
[0132] It should be noted that different parameter axes can be determined based on the data type of the parameter values corresponding to each parameter; or, they can be distinguished based on whether they are obtained through sensors or special instruments, and so on.
[0133] In this embodiment, the trend parameter waveform is arranged along a direction parallel to the time axis, which makes it convenient for users to compare different parameters, so that medical staff can observe and understand the relevant changes between the various parameters corresponding to the patient, thereby enabling medical staff to quickly and effectively assess or diagnose the patient's condition.
[0134] Please see Figure 6 In some embodiments, the second display area 34 may further include a waveform switching display area 343. The processor is also configured to display a preset trend waveform in the waveform switching display area when it detects that the monitored data contains preset parameter data. The preset parameter data includes ICP and PRx, and the preset trend waveform 348 is a PRx trend waveform. In some embodiments, the processor may control the display of the waveform switching display area 343 in the second display area 34 when it identifies that the monitored data contains preset parameter data, thus allowing for the most appropriate use of the second display area. In other embodiments, the waveform switching display area may also be a default display area; if the monitored data does not contain preset parameter data, no relevant data is displayed in the waveform switching display area.
[0135] In some embodiments, the processor may also perform the following operations: in response to a switching operation for a preset trend waveform, displaying a medical data association graph associated with the preset trend waveform in a waveform switching display area, and displaying the preset trend waveform in an area outside the waveform switching display area. Upon receiving a switching operation, the processor switches the preset trend waveform originally displayed in the waveform switching display area to display a medical data association graph.
[0136] In other embodiments, the processor responds to a switching operation for a preset trend waveform by displaying only the medical data association graph associated with the preset trend waveform graph within the waveform switching display area. In this embodiment, the PRx trend waveform is not displayed after the medical data association graph is displayed.
[0137] In other embodiments, a medical data correlation graph associated with a preset trend waveform is displayed within the waveform switching display area. In this embodiment, the medical data correlation graph is displayed directly within the monitoring and evaluation image without requiring a user-input switching operation.
[0138] The switching operations include, but are not limited to, single-click, double-click, right-click, long-press, or swipe operations. Swipe operations include, but are not limited to, left-right swipe, up-down swipe, unidirectional swipe along a certain direction, and swipe according to a preset style. It should be noted that the medical data association graph 347 refers to the use of a preset algorithm to perform correlation analysis on preset parameter data to obtain the medical data relationship degree; then, image transformation is performed based on the medical data relationship degree to obtain the medical data association graph. In this embodiment, the medical data association graph 347 is a U-shaped relationship graph of PRx and CPP. The optimal cerebral perfusion pressure is the minimum CPP value in the U-shaped relationship graph of PRx and CPP. Thus, medical staff can quickly obtain the optimal cerebral perfusion from the U-shaped relationship graph to understand the patient's physiological condition. Displaying a preset trend waveform graph in an area outside the waveform switching display area specifically includes: displaying the preset trend waveform graph in the first display area and / or the second display area.
[0139] Understandably, the waveform switching display area 343 may be adjacent to or spaced from the trend parameter waveform area 342. In some embodiments, the waveform switching display area 343 may also be part of the trend parameter waveform area 342, which is not specifically limited in this application. In some embodiments, the processor is further configured to perform the following operation: in response to a switching operation for a medical data correlation graph, restore the display of only the preset trend waveform graph in the waveform switching display area, and not display the medical data correlation graph.
[0140] In some embodiments, before displaying the medical data association graph associated with the preset trend waveform graph in the waveform switching display area, it is determined whether the monitoring time period corresponding to the preset trend waveform graph is greater than a preset time threshold. If the monitoring time period corresponding to the preset trend waveform graph is greater than or equal to the preset time threshold, the medical data association graph associated with the preset trend waveform graph is displayed in the waveform switching display area. If the monitoring time period corresponding to the preset trend waveform graph is less than the preset time threshold, a blank image is displayed in the waveform switching display area; or, a prompt message is displayed in the waveform switching display area. The prompt message is used to inform the user that the currently acquired monitoring data cannot obtain the corresponding medical data association graph, thus making the image information displayed on the monitoring interface more reliable and accurate. The preset time threshold is 4 hours. It is understood that the preset time can be determined according to the type of medical data association graph, and this application does not specifically limit it.
[0141] In some embodiments, the display method further includes:
[0142] In response to a review operation for any target monitoring point on the trend parameter waveform, the target parameter value corresponding to the target monitoring point is determined.
[0143] The virtual human body model is updated and displayed based on the target parameter values.
[0144] Specifically, the trend parameter waveform can reflect the patient's vital signs, allowing medical staff to quickly understand the patient's condition based on the overall trend of the waveform or the target parameter value corresponding to a specific monitoring point. The target parameter value, the status of the monitoring site, and the display method of the virtual human model are pre-established based on prior knowledge. When reviewing any target monitoring point on the trend parameter waveform, the virtual human model can update its display according to the target parameter value corresponding to that monitoring point. This not only simplifies browsing and reduces time consumption but also enables more timely detection of changes in the patient's condition, reducing the risk of delayed diagnosis.
[0145] The step of updating and displaying the virtual human body model based on the target parameter value specifically includes:
[0146] Based on the target parameter values, the target monitoring parts associated with the target parameter values are graphically displayed on the virtual human body model.
[0147] Specifically, the state of the monitored area can be associated with one or more parameter values, and different states of the monitored area are displayed on the virtual human body model through different display methods, thereby facilitating medical staff to observe and predict monitoring results. For example, if the MAP (measuring artery pressure) monitored by the patient at the current moment exceeds the upper limit of the normal range, the blood vessels in the virtual human body image will thicken to remind the user that the pressure of blood flow on the blood vessel walls has increased. If the MAP monitored by the patient at the current moment exceeds the lower limit of the normal range, the blood vessels in the virtual human body image will thin, indicating that the pressure of blood flow on the blood vessel walls has decreased. A correspondence can be established between the thickness of the blood vessels and the pressure value or pressure change value.
[0148] In some embodiments, updating the virtual human body model according to the target parameter value includes: displaying the historical status of the monitored part at the target monitoring point in a graphical static effect according to the target parameter value.
[0149] Specifically, when reviewing a target monitoring point on the trend parameter waveform, the virtual human body model displays the historical state of the monitored area at the target monitoring point in a graphical, static way. This allows medical staff to quickly understand the parameter values corresponding to a patient at a certain historical monitoring point and the state of the monitored area as reflected in the virtual human body model based on those parameters. It should be noted that "static effect" refers to displaying the historical state of the monitored area on the virtual human body model according to a specific historical static time point.
[0150] In some embodiments, the display method further includes: responding to a review operation for any target monitoring point on the trend parameter waveform, determining the target parameter value corresponding to the target monitoring point; using the target parameter value as the value of a preset evaluation parameter, and displaying the target parameter value in a segment outside the trend parameter waveform area.
[0151] The trend parameter waveform is a collection of parameter values from different monitoring points. Therefore, the parameter values corresponding to each monitoring point on the trend parameter waveform are important parameters reflecting the condition of the monitored sites on the patient. By displaying the parameter values corresponding to a historical monitoring point or the parameter values corresponding to a real-time monitoring point in a segment outside the trend parameter waveform area, medical staff can quickly understand the patient's condition based on the parameter values corresponding to a historical monitoring point and the status of the monitored sites fed back by the human body virtual model.
[0152] The virtual human body model is used to graphically display the monitored area based on the values of at least one preset evaluation parameter. Specifically, based on the real-time parameter values of the preset evaluation parameters, the virtual human body model displays the real-time status of the monitored area with graphical dynamic effects. When a real-time monitoring point is selected on a trend parameter waveform, the virtual human body model displays the real-time status of the monitored area at that monitoring point with graphical dynamic effects. This allows medical personnel to quickly understand the parameter values corresponding to the patient at the real-time monitoring point and the status of the monitored area reflected in the virtual human body model based on the real-time parameter values of the preset evaluation parameters. It should be noted that the dynamic effect refers to displaying the most current state (i.e., real-time status) of the monitored area on the virtual human body model according to the most current time point.
[0153] Specifically, when the preset evaluation parameters are determined to be the corresponding real-time parameter values, the virtual human body image can graphically display the monitored areas to provide real-time feedback on the status of the monitored areas, thereby facilitating medical staff to observe and predict monitoring results. Dynamic effects can include, but are not limited to, changes in brightness, color, thickness, highlighting, boundary lines, arrows, and other indicator icons. For example, assuming the patient's current MAP is 80 mmHg and CPP is 70 mmHg, and the MAP was 90 mmHg and CPP was 80 mmHg within a preset time period prior to the current moment, the blood vessels in the virtual human body image will thicken to alert the user to increased pressure from blood flow on the vessel walls. Conversely, when the blood vessels in the virtual human body image become thinner, it indicates decreased pressure from blood flow on the vessel walls. A correspondence can be established between the thickness of the blood vessels and the pressure value or pressure change value. The preset time can be user-defined or the factory default setting of the monitoring device 100. For example, the preset time can be the time point corresponding to the patient monitoring data input closest to the current time point, that is, the shortest time corresponding to the measurement signal collected by the sensor 10 or other special instruments of the monitoring device 100; or, it can be a time point with a preset time length before the current time point, such as 1 minute, 3 minutes, 5 minutes, etc., wherein the preset time length is greater than the shortest time corresponding to the measurement signal collected by the sensor 10 or other special instruments of the monitoring device 100.
[0154] In some embodiments, the display method further includes: graphically displaying the abnormal monitoring area on the virtual human body model using a preset display mode; wherein the preset display mode includes, but is not limited to, brightness, color, thickness, boundary lines, indicator icons, or any combination thereof.
[0155] The abnormal monitoring area is graphically displayed on the virtual human body model using a preset display method. Specifically, this includes: determining the degree of abnormality of the target monitoring area; determining the target display method corresponding to the target monitoring area based on the correspondence between the degree of abnormality and the display method; and displaying the target monitoring area according to the target display method.
[0156] In this embodiment, after determining the degree of abnormality of the target monitoring site, the target monitoring site is displayed according to the target display mode. This allows medical staff to quickly assess the patient's condition based on the target display mode, facilitating real-time monitoring of the patient's health status. The virtual human body model displays different modes depending on the degree of abnormality of the monitoring site. For example, a preset display mode of red indicates a high degree of abnormality, yellow indicates a low degree of abnormality, and green indicates a normal monitoring site. The correspondence between the preset display mode's color and the monitoring site's display mode is not limited to the above description and can be customized by the user. In some embodiments, a correspondence can also be established between brightness or indicator icons and the monitoring site's display mode. This allows medical staff to quickly interpret the patient's monitoring site status based on the virtual human body model, enabling more timely detection of changes in the condition and reducing the risk of delayed diagnosis.
[0157] In some embodiments, the display method further includes providing abnormal information associated with the abnormal monitoring site on the virtual human body model. In this embodiment, when the abnormal monitoring site is displayed on the virtual human body model, specific abnormal information about the abnormal monitoring site can be displayed when the cursor moves over it. For example, it could display sensor connection problems, high blood pressure in the brain, etc. The cursor mentioned above can be a mouse cursor, a laser pointer cursor, or a cursor displayed on the screen by a button, etc. Regardless of the form of the cursor, its function is to select the abnormal monitoring site. In some embodiments, when the abnormal monitoring site is displayed on the virtual human body model, a floating window is displayed on the monitoring interface, and the abnormal information associated with the abnormal monitoring site is displayed in the floating window. In other embodiments, when the abnormal monitoring site is displayed on the virtual human body model, the monitoring interface directly displays the abnormal information in the area surrounding the virtual human body model.
[0158] When the preset evaluation parameters are set to historical parameter values, the virtual human body image displays the historical state of the monitored area in a graphical static effect. In this way, medical staff can select historical monitoring points of interest to understand the virtual human body image corresponding to those points. This allows doctors to understand the historical state of the monitored area based on the virtual human body image corresponding to the monitoring points of interest, thereby improving the efficiency of EEG interpretation.
[0159] Please refer to it again. Figure 5In some embodiments, the second display area 34 may consist only of the trend parameter waveform area 342 and the image display area 344. Specifically, the second display area 34 further includes an image display area 344 adjacent to the trend parameter waveform area 342, and the display method further includes: displaying a virtual human body model within the image display area, and displaying the values of preset evaluation parameters in an area outside the virtual human body model within the image display area. In this embodiment, the image display area 344 is located on the side of the trend parameter waveform area 342 away from the first area 322, and the trend parameter waveform area 342 and the image display area 344 are arranged side by side.
[0160] like Figure 4 As shown, in this embodiment, the second display area 34 further includes an evaluation parameter value area 346 adjacent to the trend parameter waveform area 342 and the image display area 344. The display method further includes: displaying a virtual human body model in the image display area; and displaying the value of the preset evaluation parameter in the evaluation parameter value area, wherein the preset evaluation parameter value is a preset real-time parameter value or a preset historical parameter value.
[0161] Specifically, in this embodiment, the image display area 344 and the evaluation parameter value area 346 are arranged side by side, and both the image display area 344 and the evaluation parameter value area 346 are adjacent to the trend parameter waveform area 242. In some embodiments, the image display area 344 and the evaluation parameter value area 346 may also be arranged side by side or overlapped. The arrangement of the trend parameter waveform area 342, the image display area 344, and the evaluation parameter value area 346 is not specifically limited by the invention.
[0162] The parameter types corresponding to the preset evaluation parameter values can be user-defined or factory default settings of the monitoring device. In this embodiment, the parameter types corresponding to the preset evaluation parameter values at least include the parameter types corresponding to the trend parameter waveform, that is, the parameter types corresponding to the preset evaluation parameter values can include parameter values corresponding to other parameters. For example, the parameter types corresponding to the brain oxygenation-related waveform are rSO2-1 and rSO2-2, and the brain oxygenation-related parameter values include, but are not limited to, rSO2-1, rSO2-2, AUC, etc. AUC (Area Under Curve) is defined as the area enclosed by the ROC curve and the coordinate axis (time axis). In this embodiment, AUC is the area of the closed region 3421 jointly enclosed between the brain oxygenation trend waveform and the brain oxygenation threshold baseline. Specifically, it is the area value obtained by calculus of the area under the brain oxygenation trend waveform (i.e., the area of the closed region 3421). The parameter types corresponding to the preset evaluation parameter values are at least partially the same as the parameters corresponding to the real-time parameter values.
[0163] For example, in some embodiments, the parameter type corresponding to the preset evaluation parameter value is the same as the parameter type corresponding to the real-time parameter value. The parameter type corresponding to the cerebrovascular regulation-related waveform is an EtCO2 waveform. The parameters corresponding to the cerebrovascular regulation-related evaluation parameter values include EtCO2, and the parameters corresponding to the cerebrovascular regulation-related real-time parameter values also include EtCO2.
[0164] For example, the parameter types corresponding to the preset evaluation parameter values may differ from those corresponding to the real-time parameter values. Each EEG signal includes 10 values. The preset evaluation parameter values can correspond to two parameters: EEG1-SR and EEG1-SEF. The real-time parameter values can correspond to ten parameters, such as EEG1-SR, EEG1-SEF, EEG1-MF, EEG1-PPF, EEG1-TP, and EEG1-EMG. In some embodiments, the real-time parameter values can also correspond to eight parameters, i.e., EEG1-SR and EEG1-SEF may not be included.
[0165] In some embodiments, displaying a virtual human body model within an image display area specifically includes: displaying a virtual human body model within an image display area and displaying specific evaluation parameter values in an area outside the virtual human body model within the image display area, wherein the preset evaluation parameters include the specific evaluation parameters, and the specific evaluation parameters are associated with the monitoring parts that the virtual human body model can display.
[0166] The specific assessment parameter values are a subset of the preset assessment parameter values. These specific assessment parameter values refer to monitoring data used to assess the state of the patient's monitoring sites. In this embodiment, the specific assessment parameters include, but are not limited to, ICP, MAP, CPP, rSO2-1, rSO2-2, and EtCo2. For example, medical staff can infer the brain's oxygen supply / consumption balance based on changes in rSO2 values and make artificial interventions to reduce intraoperative or postoperative physiological complications.
[0167] The display position of a specific evaluation parameter value is adjacent to the monitoring site, or the specific evaluation parameter value and the monitoring site are connected by a guide line.
[0168] The display methods also include:
[0169] When a specific evaluation parameter value meets the preset conditions, the specific evaluation parameter value is displayed in a first preset display style. When the specific evaluation parameter value does not meet the preset conditions, the specific evaluation parameter value is displayed in a second preset display style. The first preset display style is different from the second preset display style. The first preset display style and the second preset display style include at least one of the following: color, font, font size, font style, font effect, font background color, or transparency of the specific evaluation parameter value.
[0170] The display method further includes: determining that a specific evaluation parameter value meets a preset condition. Specifically, determining that a specific evaluation parameter value meets a preset condition includes: determining that a specific evaluation parameter value meets a preset condition when it exceeds a preset normal threshold range; or, determining that a specific evaluation parameter value meets a preset condition when it shows a decreasing or increasing trend compared to the parameter value at the previous historical monitoring point; or, determining that a specific evaluation parameter value meets a preset condition when the change in the parameter value compared to the parameter value at the previous historical monitoring point meets a preset range.
[0171] like Figure 4 As shown, for example, when the value of rSO2-2 in a specific assessment parameter is 60, the rSO2-2 value has not changed compared to the parameter value of the previous historical monitoring point. The specific assessment parameter value is displayed according to the first preset display style, that is, rSO2-2 is displayed normally without a background color. In other embodiments, if the value of rSO2-2 in the specific assessment parameter is 50, and the rSO2-2 value shows a decreasing trend compared to the parameter value of the previous historical monitoring point, then the specific assessment parameter value can be displayed according to the second preset display style, that is, rSO2-2 is displayed in bold and a background color is set. In this way, medical staff can determine whether the specific assessment parameter value exceeds the normal threshold range based on the display style, so that medical staff can understand the status of the patient's monitoring site.
[0172] The display methods also include:
[0173] When a specific evaluation parameter value is determined to meet a preset condition, the target monitoring part associated with the specific evaluation parameter value that meets the preset condition is identified from the virtual human body model, and the target monitoring part is dynamically highlighted.
[0174] In this embodiment, highlighting includes one or more combinations of methods such as highlighting, flashing, color changing, adding prompts, changing transparency, changing background color, changing font, and enlarging size of the target monitoring area. The target monitoring area refers to the location where the sensor 10 is placed on the patient's monitoring area. For example, if the rSO2 sensor is placed on the patient's forehead, a decrease in the monitored rSO2 value indicates a decrease in blood oxygen saturation at the location where the rSO2 sensor is placed on the forehead. The rSO2 value can indirectly represent a decrease in the blood oxygen content of the brain. In other embodiments, the target monitoring area may also refer to the monitoring area characterized by a specific assessment parameter.
[0175] like Figure 5 and Figure 7As shown, when the bispectral index-left (BIS-L), rSO2-R, ICP, CPP, MAP, and EEG-1 of the left brain are all abnormal, such as when the BIS-L value shows an upward trend, the rSO2-R value shows a downward trend, the ICP shows an upward trend, the CPP and MAP both show a downward trend, and the EEG-1 value exceeds the normal range, the corresponding position of the patient's forehead in the virtual human body image is highlighted and labeled with BIS and rSO2, the blood vessels in the virtual human body image are thickened, and the corresponding position of the patient's back of the head in the virtual human body image is highlighted and labeled with EEG-1.
[0176] For example, when EEG values are abnormal, such as abnormal EEG impedance, the EEG parameter values will fluctuate greatly and the EEG waveform will be chaotic. This indicates that the EEG sensor connection is abnormal or unstable. In this case, medical staff need to readjust the EEG sensor's fixed connection to restore the EEG parameter values and waveforms to normal. Thus, by highlighting the target monitoring area, medical staff can quickly and intuitively understand the status of the patient's monitored area from the virtual human image, enabling appropriate manual intervention and improving the efficiency of their work.
[0177] The virtual human model can rotate within a preset angle range to display the target monitoring area. Please refer to the following: Figure 6 and Figure 7 , Figure 7 The image shown is an interface diagram of the monitoring interface displayed by the monitoring device provided in an embodiment of the present invention in response to a rotation operation of a virtual human body model in the monitoring interface. For example, Figure 5 The displayed virtual human body model shows the monitoring areas corresponding to the forebrain region. Users can rotate the virtual human body model in the monitoring interface 301 to display it from different angles on the monitoring device 100, thus enabling monitoring and management of different monitoring areas. For example, Figure 7 The displayed virtual human body model shows the monitoring areas corresponding to the back of the head. For example... Figure 7 As shown, when the monitored EEG-1 data meets the preset conditions, i.e. when the EEG-1 signal is abnormal, the monitored area is graphically highlighted on the corresponding back of the head of the virtual human body model. This allows medical staff to quickly and intuitively understand the status of the patient's monitored area and / or the abnormal placement of the EEG sensor from the virtual human body image, so as to carry out corresponding manual intervention, thereby improving the work efficiency of medical staff.
[0178] In this embodiment, the preset angle range is 0 to 180 degrees in both the horizontal and / or vertical directions. It is understood that since brain protection monitoring primarily targets the left and right sides of the patient's forehead, the back of the forehead, the top of the brain, and the corresponding areas of the occipital lobe, a 180-degree rotation of the virtual human model is sufficient to observe the state of the patient's target monitoring area, thus facilitating the user's quick rotation to the target monitoring area. In some embodiments, the preset angle range can also be 0 to 360 degrees in both the horizontal and / or vertical directions, allowing the user to observe the state of the patient's target monitoring area from all angles.
[0179] In some embodiments, when a specific evaluation parameter value is determined to meet a preset condition, and a target monitoring part associated with the specific evaluation parameter value that meets the preset condition is identified from the virtual human body model and the target monitoring part is highlighted, the display method may further include automatically rotating the virtual human body model at an angle that can present the target monitoring part, thus changing the presentation angle of the virtual human body model. For example, if meeting the preset condition means exceeding a preset threshold and there are multiple target monitoring parts, the virtual human body model can be automatically rotated to display the target monitoring parts corresponding to more specific evaluation parameters that exceed the preset threshold.
[0180] In some embodiments, the display method further includes:
[0181] In response to rotation operations on the virtual human body model, different monitoring parts within the virtual human body model are displayed.
[0182] In some embodiments, the response to a rotation operation on the virtual human body model includes: responding to a third operation on the virtual human body model; or, responding to a third operation on a control icon or input / output device displayed on the monitoring interface 301. The third operation can be, but is not limited to, at least one of single-click, long-press, double-click, swipe, flick, preset swipe trajectory, and multi-touch. For example, when a user touches the virtual human body model with one or two fingers and swipes to one side, the virtual human body model rotates along a first direction; while when a user touches the boundary of the virtual human body model with one or two fingers and swipes to the other side, the virtual human body model rotates along a second direction. The first and second directions are opposite; the first direction can be clockwise and the second direction can be counterclockwise; or the first direction can be counterclockwise and the second direction can be clockwise. This provides the user with the opportunity to rotate the virtual human body model, improving the user's interactive experience.
[0183] In some embodiments, responding to a third operation on the virtual human body model specifically includes responding to a third operation on a preset position of the virtual human body model. The preset position may be, for example, the center position of the virtual human body model, the edge position of the virtual human body model, etc.
[0184] In some embodiments, in response to a third operation on the virtual human body model, the virtual human body model is rotated to display different monitoring parts in the virtual human body model, specifically including: in response to the third operation on the virtual human body model, controlling the display of a rotation control icon; in response to a fourth operation on the rotation control icon, rotating the virtual human body model to display different monitoring parts in the virtual human body model.
[0185] Specifically, in response to the fourth operation of the rotation control icon, the virtual human body model is rotated to display different monitoring parts within the virtual human body model. This includes: in response to the fourth operation of the rotation control icon, obtaining the fourth operation parameters corresponding to the fourth operation; determining the rotation angle for the virtual human body model based on the fourth operation parameters; and rotating the virtual human body model according to the rotation angle to display the different monitoring parts within the virtual human body model. The fourth operation can be, but is not limited to, at least one of click, swipe, flick, or gesture operations.
[0186] In some other embodiments, in response to a third operation on the virtual human body model, the virtual human body model is rotated to display different monitoring parts in the virtual human body model. Specifically, in response to the third operation on the virtual human body model, an input box for inputting a rotation angle is controlled to be displayed; in response to an input operation on the input box, the virtual human body model is rotated according to the input value corresponding to the input operation to display different monitoring parts in the virtual human body model.
[0187] In some embodiments, the display method further includes: displaying data of a preset evaluation parameter on a monitoring and evaluation image; when the value of the preset evaluation parameter is greater than a first threshold, displaying a first identifier at the value of the preset evaluation parameter, the first identifier indicating that the value of the preset evaluation parameter is higher than a normal value; when the value of the preset evaluation parameter is less than a second threshold, displaying a second identifier at the value of the preset evaluation parameter, the first identifier indicating that the value of the preset evaluation parameter is lower than the normal value, wherein the first identifier is different from the second identifier; when the value of the preset evaluation parameter is less than or equal to the first threshold and greater than or equal to the second threshold, displaying a third identifier or not displaying any identifier at the value of the preset evaluation parameter, the third identifier indicating that the value of the preset evaluation parameter belongs to the normal value, wherein the third identifier is different from the first identifier and the second identifier.
[0188] In this embodiment, when the value of the preset evaluation parameter is less than or equal to a first threshold and greater than or equal to a second threshold, no indicator is displayed at the value of the preset evaluation parameter, such as behind, above, or below it. The first indicator is an upward arrow, and the second indicator is a downward arrow. In some embodiments, the third indicator can be a horizontal arrow. This allows users to quickly observe abnormal parameter values, facilitating doctors' diagnosis of the patient's condition.
[0189] In some embodiments, the evaluation parameter value area 346 includes at least one value display area 3461, and the at least one value display area corresponds to at least one waveform display area; the display method further includes: determining the parameter type corresponding to the trend parameter waveform; displaying evaluation parameter values of the same parameter type in the same value display area, and displaying evaluation parameter values of different parameter types in different value display areas respectively.
[0190] See again Figure 4 In this embodiment, at least one numerical display area 3461 includes four numerical display areas. The four numerical display areas respectively display cerebral blood flow related values, cerebral blood oxygenation related values, electroencephalogram (EEG) related values, and cerebrovascular regulation related values. Cerebral blood flow related values include MAP, CPP, and ICP values. Cerebral blood oxygenation related values include rSO2-1 and rSO2-2 values. EEG related values include SEF, SR, MF, PPT, TP, and EMG values. Cerebrovascular regulation related values include EtCO2 values. It should be noted that the types of trend parameter values can be distinguished based on whether the monitoring data is obtained through sensors or dedicated instruments; alternatively, they can be categorized based on the monitoring site, etc. The types and number of trend parameter values can be user-defined or set by the factory default of the monitoring device 100; this invention does not impose specific limitations. For example, the preset evaluation parameters may only include MAP and CPP from the cerebral blood flow related values, or they may not include cerebral blood flow related values at all. In some other embodiments, the window interface 340 also includes a setting item 3413, which responds to a trigger operation on the setting item 3413, controls the display of the attribute setting interface, and allows setting parameters such as the value type of the trend parameter through the attribute setting interface.
[0191] The display methods also include:
[0192] Each numerical display area displays a second title corresponding to the parameter type, where the first title is the same as the second title.
[0193] The second title displayed in the numerical display area corresponding to cerebral blood flow-related values is, for example, but not limited to, "Cerebral Blood Flow," "Cerebral Blood Flow Related Values," etc. The second title displayed in the numerical display area corresponding to cerebral blood oxygenation-related values is, for example, but not limited to, "Cerebral Blood Oxygen," "Cerebral Oxygen," "Cerebral Blood Oxygen Related Values," etc. The second title displayed in the numerical display area corresponding to EEG-related values is, for example, but not limited to, "EEG," "Electroencephalogram Waves," "EEG Related Values," etc. The second title displayed in the numerical display area corresponding to cerebrovascular regulation-related values is, for example, but not limited to, "Cerebral Vascular Regulation," "Cerebral Vascular Reactivity," "Cerebral Vascular Regulation Related Values," etc. In some embodiments, the first and second titles may also be different.
[0194] Optionally, the parameter types corresponding to the evaluation parameter values displayed in at least one numerical display area 3461 and the waveform types corresponding to the parameter waveforms displayed in at least one waveform display area are arranged in the same order. This arrangement of the first and second titles from top to bottom according to user attention aligns with typical user observation habits, facilitating viewing and significantly saving time for medical staff.
[0195] In some embodiments, the display method further includes: determining the waveform type corresponding to the trend parameter waveform; displaying a virtual human body model associated with the waveform type according to the waveform type corresponding to the trend parameter waveform; the virtual human body model includes at least one of organ images, human system images, and full-body images, wherein the organ images include at least one of human head images, human heart images, and human lung images, and the human system images include at least one of nervous system images, circulatory system images, respiratory system images, digestive system images, urinary system images, reproductive system images, endocrine system images, and musculoskeletal system images.
[0196] For example, Tetralogy of Fallot (TOF) is a common congenital heart defect. Specifically, TOF is a disease caused by abnormalities in the structure of the heart and blood vessels, resulting in abnormalities in both the heart and lungs. For patients like these, the monitoring device 100 can specifically monitor the patient's heart and lungs. That is, the monitoring interface 301 of the monitoring device 100 can simultaneously display a "cardiac protection" interface and a "lung protection" interface. This allows medical staff to jointly monitor changes in the heart and lungs, meaning they can simultaneously understand cardiac and pulmonary monitoring data, thus facilitating comprehensive diagnosis and treatment of the patient and maximizing the chances of timely intervention.
[0197] Specifically, in some embodiments, the monitoring interface 301 of the monitoring device 100 can simultaneously display multiple window interfaces for displaying different monitoring and evaluation images. For example, the monitoring interface 301 of the monitoring device 100 can have a cardiac protection window interface and a lung protection window interface, wherein the cardiac protection window interface displays cardiac-related monitoring and evaluation data, and the lung protection window interface displays lung-related monitoring and evaluation data. In other embodiments, the monitoring interface 301 of the monitoring device 100 displays only one window interface, and different monitoring and evaluation images are displayed within that window interface; for example, cardiac-related monitoring and evaluation data and lung-related monitoring and evaluation data are both displayed within the same window interface.
[0198] In this embodiment, the virtual human body model is a human head image; the waveform types corresponding to the trend parameter waveforms include cerebral blood flow related trend parameter waveforms, electroencephalogram (EEG) related trend parameter waveforms, cerebral oxygen saturation related trend parameter waveforms, and cerebral vascular reactivity related trend parameter waveforms; the parameter types corresponding to the trend parameter waveforms include cerebral blood flow related parameters, EEG related parameters, cerebral oxygen saturation related parameters, and cerebral vascular reactivity related parameters.
[0199] In some embodiments, the second display area 34 displays a setting item 3413, and the display method further includes:
[0200] Receive editing requests for settings items and generate editing operation information corresponding to the editing requests;
[0201] Update the values of trend parameter waveforms, virtual human model, and / or preset evaluation parameters based on the editing operation information.
[0202] The display method further includes:
[0203] In response to a trigger operation for setting item 3413, the system controls the display of the attribute setting interface, which displays trend parameter waveform options, virtual human body model options, and evaluation parameter options; it receives editing requests for the trend parameter waveform options, virtual human body model options, and / or evaluation parameter options, and generates editing operation information corresponding to the editing requests; based on the editing operation information, it updates the values of the trend parameter waveform, virtual human body model, and / or preset evaluation parameters.
[0204] The attribute settings interface displays options for trend parameter waveforms, virtual human body models, and evaluation parameters. Users can select the categories corresponding to the trend parameter waveforms, virtual human body models, and evaluation parameters they are interested in, thereby improving the efficiency of interpreting brain protection-related monitoring data. It also allows the information displayed on the monitoring interface 301 to be flexibly adjusted, enhancing the user's interactive experience, making it easier for users to view the information, and greatly saving medical staff's time in diagnosing the condition.
[0205] This invention provides a method for displaying monitoring data. Based on a preset first operation on the monitoring interface, a real-time monitoring image is displayed in a first display area of the monitoring interface, and a monitoring evaluation image is displayed in a second display area. This allows the monitoring interface to simultaneously display the real-time monitoring data and the changing trends of some or all of the monitoring data of interest to medical personnel. It also presents the correlation changes between the values of preset evaluation parameters corresponding to a specific monitoring point. This allows medical personnel to quickly browse the overall situation of the patient's monitoring data, and the browsing operation is simple and time-saving, enabling more timely detection of changes in the patient's condition and reducing the risk of delayed diagnosis. Furthermore, based on the values of the preset evaluation parameters, the monitoring location is graphically displayed on the monitoring interface of the monitoring device, allowing medical personnel to quickly and effectively assess or diagnose the patient's condition.
[0206] Please see Figure 8 This is a flowchart illustrating a method for reviewing monitoring data provided in one embodiment of this application. Figure 8 As shown, the monitoring data review method is applied to the aforementioned monitoring system 1000. Specifically, the monitoring data review method can be applied alone to the aforementioned monitoring device 100, alone to the aforementioned third-party device 300, or simultaneously to the aforementioned monitoring device 100 and the third-party device 300. In this embodiment, the application of the monitoring data review method to the aforementioned monitoring device 100 is used as an example for explanation. The monitoring device 100 displays a monitoring interface, and the method for displaying monitoring data includes the following steps.
[0207] Step S701: Obtain monitoring data, wherein the monitoring data includes the parameter values of at least one parameter, and the parameter values of at least one parameter include real-time parameter values and historical parameter values.
[0208] For specific details, please refer to the corresponding information. Figure 2 The method steps S201 in the embodiment will not be described again here.
[0209] Step S703: Based on the monitoring data, display real-time monitoring images and monitoring evaluation images on the monitoring interface of the monitoring device. The real-time monitoring images are used to present at least one of the real-time parameter values and real-time parameter waveforms. The monitoring evaluation images are used to present trend parameter waveforms of at least some of the at least one parameter, and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than the display time of the real-time parameter waveforms. The virtual human body model is used to graphically display the monitoring parts according to the values of preset evaluation parameters of at least one parameter. The preset evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveforms.
[0210] For specific details, please refer to the corresponding information. Figure 2 The method step S203 in the embodiment will not be described again here.
[0211] Step S705: In response to the review operation for any target monitoring point on the trend parameter waveform, determine the target parameter value corresponding to the target monitoring point.
[0212] In some embodiments, a waveform control 3417 is displayed in the trend parameter waveform area 342 to respond to a review operation on the target monitoring point on the trend parameter waveform and determine the target parameter value corresponding to the target monitoring point, specifically including:
[0213] In response to a review operation targeting a monitoring point on the trend parameter waveform, a waveform control is displayed at the location of the monitoring point; the selected time corresponding to the waveform control on a two-dimensional coordinate graph is obtained; and the target parameter value corresponding to the trend parameter waveform at the selected time is determined based on the selected time.
[0214] The waveform control 3417 is located within a two-dimensional coordinate graph. The waveform control 3417 includes, but is not limited to, at least one of an active cursor and an active marker. In this embodiment, the waveform control 3417 is an active marker, and the active marker is perpendicular to the time axis. Review operations, such as tap operations, long press operations, swipe operations, etc.
[0215] In some embodiments, the review method further includes:
[0216] In response to a review operation targeting any historical monitoring point on the trend parameter waveform, a pop-up control displays the waveform graph.
[0217] In response to a move operation on the waveform control, move the waveform control to the position corresponding to the target monitoring point on the trend parameter waveform;
[0218] Based on the current position of the waveform control, obtain the selected time on the two-dimensional coordinate graph corresponding to the waveform control;
[0219] Based on the selected time, determine the target parameter value corresponding to the trend parameter waveform at the selected time.
[0220] Thus, after bringing up the waveform control 3417, the user can continue to operate the waveform control 3417 to fine-tune it and move it to the position corresponding to the target monitoring point on the trend parameter waveform. This allows medical staff to flexibly control the waveform control 3417 and review multiple sets of monitoring data corresponding to any target monitoring point on the trend parameter waveform. The browsing operation is simple and time-saving, which enables more timely detection of changes in the condition and reduces the risk of delays in diagnosis.
[0221] In other embodiments, in response to a review operation on a target monitoring point on a trend parameter waveform, determining the target parameter value corresponding to the target monitoring point specifically includes:
[0222] Slide the waveform control from the first position to the second position on the two-dimensional coordinate graph. The first position on the two-dimensional coordinate graph represents the position corresponding to the latest monitoring point within the preset second display time length, and the second position on the two-dimensional coordinate graph represents the position corresponding to the target monitoring point.
[0223] Get the selected time corresponding to the waveform control on a two-dimensional coordinate graph;
[0224] Based on the selected time, determine the target parameter value corresponding to the trend parameter waveform at the selected time.
[0225] In this embodiment, before responding to a review operation on the target monitoring point on the trend parameter waveform, the waveform control 3417 is located at the far right of the two-dimensional coordinate graph, that is, at the position corresponding to the latest monitoring point within the preset second display time length. At this time, the selected time corresponding to the waveform control 3417 on the two-dimensional coordinate graph is the time point corresponding to the real-time parameter value. As time progresses, the trend parameter waveform shifts from right to left so that the trend parameter waveform displays the waveform corresponding to the preset second display time length within the trend parameter waveform area 342. For example, when the preset second display time length is 2 hours, the trend parameter waveform of the 2 hours prior to the current moment is displayed in the trend parameter waveform area 342.
[0226] In some embodiments, the review method further includes, before sliding the waveform control from a first position to a second position on the two-dimensional coordinate graph:
[0227] In response to a preset operation on the two-dimensional coordinate graph, a waveform control is displayed at the first position on the two-dimensional coordinate graph.
[0228] Preset operations include, but are not limited to, at least one of single click, long press, double click, swipe, flick, preset swipe trajectory, and multi-touch. A preset operation refers to an operation input within a preset area of the two-dimensional coordinate graph; or, an operation whose parameters conform to preset rules, such as a long press for a preset time or a press pressure greater than a preset pressure threshold. In this embodiment, before responding to a review operation targeting the target monitoring point on the trend parameter waveform and determining the target parameter value corresponding to the target monitoring point, the waveform control 3417 is hidden from display in the two-dimensional coordinate graph to make the display content of the monitoring interface more concise.
[0229] In some embodiments, the waveform control 3417 can always be displayed within the two-dimensional coordinate graph, that is, the method steps of displaying the waveform control at the first position of the two-dimensional coordinate graph in response to a preset operation on the two-dimensional coordinate graph can be omitted.
[0230] Please refer to the following: Figure 9 and Figure 10 , Figure 9 The image shown is an interface diagram of the monitoring device provided in an embodiment of the present invention, which displays a monitoring interface in response to a review operation on any target monitoring point on the trend parameter waveform. Figure 10 What is shown is Figure 9 An enlarged view of the window interface in the monitoring interface. (See attached image.) Figure 9 and Figure 10 As shown, the waveform control 3417 moves from the first position to the second position, that is, the waveform control 3417 moves to the position corresponding to the target monitoring point on the trend parameter waveform. At this time, the rSO2-2 value is 50. At this time, the rSO2-2 value shows a downward trend compared to the parameter value of the previous historical monitoring point. Therefore, rSO2-2 is displayed in bold and a background color is set. The monitoring area corresponding to the patient's forehead is highlighted in the virtual human image, and a guide line is added between the monitoring area and the evaluation parameter rSO2. In this way, by highlighting the corresponding monitoring area according to the preset rules, medical staff can quickly determine whether the specific evaluation parameter value is abnormal and whether the sensor placement or connection is abnormal based on the display style of the specific evaluation parameter value and / or the highlighted mark of the monitoring area. This allows medical staff to perform manual intervention and facilitates diagnosis and inference of the status of the patient's monitoring area.
[0231] In this embodiment, the review method further includes:
[0232] When the waveform control is detected to be in the first position, the latest parameter value corresponding to the latest monitoring point on the trend parameter waveform is displayed in the segment outside the trend parameter waveform area.
[0233] When the waveform control is detected to be in the first position, the latest parameter value corresponding to the latest monitoring point on the trend parameter waveform is displayed in the segment outside the trend parameter waveform area. In other words, the evaluation parameter value displayed in the segment outside the trend parameter waveform area is the latest parameter value. In some embodiments, the latest parameter value can be a real-time parameter value. Thus, medical personnel can monitor the status of the patient's monitoring site in real time, enabling them to quickly and effectively assess or diagnose the patient's condition.
[0234] In some embodiments, the review method further includes:
[0235] When the waveform control is detected to have moved to the third position on the two-dimensional coordinate graph, a prompt message is output, where the third position corresponds to the position of the earliest monitoring point within the preset second display time period; or
[0236] When the waveform control is detected to have moved to the third position, the historical trend parameter waveform outside the preset second display time length is output, and the waveform of the current trend parameter within the preset second display time length is partially or completely overwritten; or
[0237] When the waveform control is detected to have moved to the third position, the control is restored to the first position.
[0238] Understandably, when the waveform control 3417 moves to the leftmost position of the two-dimensional coordinate graph, it indicates that the waveform control 3417 has moved to the third position, that is, the waveform control 3417 has moved to the position corresponding to the earliest monitoring point within the preset second display time length. In one embodiment, when the monitoring device 100 detects that the waveform control 3417 has moved to the third position, it controls the output of a prompt message. For example, the prompt message can be used to remind the user to reset the preset second display time length in order to view more compressed waveform data. The prompt message is, for example, but not limited to, sound, light signals, text information, graphic information, or vibration. In this way, effective prompts can be given in various different scenarios, improving the user experience.
[0239] In another embodiment, when the monitoring device 100 detects that the waveform control 3417 has moved to the third position, it controls the output of historical trend parameter waveforms outside the preset second display time length, and covers part or all of the current trend parameter waveforms within the preset second display time length. In this way, the user can directly view the historical trend parameter waveforms outside the current trend parameter waveforms within the preset second display time length, simplifying the operation and improving the efficiency of medical staff in interpreting the current and historical trend parameter waveforms.
[0240] In another embodiment, when the monitoring device 100 detects that the waveform control 3417 has moved to the third position, it controls the waveform control to return to the first position. This facilitates the user's review of any target monitoring point on the trend parameter waveform and avoids the lag in the monitoring interface 301 caused by the waveform control 3417 remaining in the third position for an extended period, thus improving the user experience.
[0241] Step S707: Update the virtual human body model based on the target parameter values. Specifically, updating the virtual human body model based on the target parameter values includes: graphically displaying the target monitoring parts associated with the target parameter values within the virtual human body model.
[0242] In some embodiments, the review method further includes: updating the displayed value of the preset evaluation parameter according to the target parameter value. Updating the displayed value of the preset evaluation parameter according to the target parameter value specifically includes: using the target parameter value as the value of the preset evaluation parameter, and displaying the value of the preset evaluation parameter in a segment outside the trend parameter waveform area. The updated value of the preset evaluation parameter is displayed in the evaluation parameter value area 346.
[0243] The second area 324 of the monitoring interface 301 displays the real-time parameter values corresponding to each parameter. For example, the real-time parameter ICP is 8.5 mmHg, the real-time parameter CPP is 84 mmHg, the real-time parameters rSO2-1 and rSO2-2 are both 80 mmHg, and the real-time parameter EtCO2 is 30 rpm. The section outside the trend parameter waveform area 342 displays the target parameter values corresponding to the target parameters. For example, the target parameter ICP is 10 mmHg, the target parameter CPP is 70 mmHg, the target parameter MAP is 70 mmHg, the target parameters rSO2-1 and rSO2-2 are 60 mmHg and 50 mmHg respectively, and the target parameter EtCO2 is 25 rpm.
[0244] Since the value of the target parameter rSO2-2 shows a decreasing trend compared to the previous historical monitoring point, it indicates that the value of the target parameter rSO2-2 meets the preset conditions. At this time, the monitoring area corresponding to the patient's forehead is highlighted in the virtual human image, and a guide line is added between the monitoring area and the evaluation parameter rSO2. The value of the target parameter rSO2-2 is displayed according to the second preset display style, that is, rSO2-2 is displayed in bold and a background color is set. In this way, medical staff can quickly determine whether the value of a specific evaluation parameter is abnormal and whether the sensor placement or connection is abnormal based on the display style of the specific evaluation parameter value and / or the highlighted mark of the monitoring area, so as to enable medical staff to perform manual intervention and facilitate diagnosis and inference of the status of the patient's monitoring area.
[0245] This invention provides a method for reviewing monitoring data, applied to a monitoring system or monitoring device, which displays a monitoring interface. The review method includes the following steps: acquiring monitoring data monitored within a preset time period, wherein the monitoring data includes parameter values of at least one parameter, and the parameter values of the at least one parameter include real-time parameter values and historical parameter values; displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface of the monitoring device based on the monitoring data, wherein the real-time monitoring image is used to present real-time parameter values and real-time parameter waveforms, and the monitoring evaluation image is used to present trend parameter waveforms of at least one parameter, a virtual human body model, and the value of a preset evaluation parameter; the display time of the trend parameter waveform is longer than the display time of the real-time parameter waveform; the virtual human body model is used to graphically display the monitoring part according to the value of the preset evaluation parameter; the value of the preset evaluation parameter is a real-time parameter value; or, a historical parameter value; responding to a review operation for any target monitoring point on the trend parameter waveform, determining the target parameter value corresponding to the target monitoring point; and updating the content of the displayed virtual human body model and / or the value of the preset evaluation parameter according to the target parameter value.
[0246] Thus, by simultaneously displaying real-time monitoring images and monitoring evaluation images on the monitoring interface of the monitoring device, medical staff can quickly browse historical monitoring data and combine it with real-time monitoring data to diagnose and infer the patient's condition. Furthermore, users can review multiple sets of monitoring data corresponding to any target monitoring point on the trend parameter waveform. The browsing operation is simple and time-efficient, enabling more timely detection of changes in the patient's condition and reducing the risk of delayed diagnosis. In addition, the monitoring interface of the monitoring device can graphically update and display the monitoring site and / or the values of the preset evaluation parameters based on the reviewed historical monitoring data, enabling targeted observation and management of the monitoring site. It can also centrally present the correlation changes between various monitoring data corresponding to any monitoring point, thereby improving the efficiency of medical staff in interpreting relevant monitoring data.
[0247] This invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, it includes some or all of the steps of any of the monitoring data display methods and monitoring data review methods described in the above method embodiments.
[0248] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0249] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to the present invention. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.
[0250] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. When the above-described methods for displaying and reviewing monitoring data are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to cause a computer device (which can be a personal computer, server, or network device, specifically a processor in the computer device) to execute all or part of the steps of the above-described methods for displaying and reviewing monitoring data in the various embodiments of the present invention. The aforementioned storage medium may include: USB flash drive, mobile hard drive, magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), and other media capable of storing program code.
[0251] The embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.
Claims
1. A monitoring device, characterized in that, The monitoring device includes a display and a processor. The display is used to show a monitoring interface, and the processor is used for: Acquire monitoring data, wherein the monitoring data includes parameter values and parameter waveforms of multiple parameters, the parameter values of the multiple parameters include real-time parameter values and historical parameter values, and the parameter waveforms of the multiple parameters include real-time parameter waveforms; The monitoring interface displays a real-time monitoring image in a first display area and a monitoring evaluation image in a second display area, with the real-time monitoring image and the monitoring evaluation image displayed on the same screen; wherein: The real-time monitoring image is used to present at least one of the real-time parameter values and the real-time parameter waveforms. The monitoring evaluation image is used to present the trend parameter waveforms of some of the multiple parameters, and a virtual human body model associated with the trend parameter waveforms. The second display area includes a trend parameter waveform area and an image display area. The trend parameter waveform is displayed in the trend parameter waveform area, and the display time of the trend parameter waveform is longer than that of the real-time parameter waveform. The real-time parameter waveform has more waveform types than the trend parameter waveform. The waveform types of the trend parameter waveform can be customized. The virtual human body model is displayed in the image display area, and the values of specific evaluation parameters are displayed in the area outside the virtual human body model in the image display area. The specific evaluation parameters are associated with the monitoring parts that can be presented by the virtual human body model. The virtual human body model is used to graphically display the associated monitoring parts according to the values of the specific evaluation parameters. The specific evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveforms.
2. The monitoring device as described in claim 1, characterized in that, The processor is specifically used for: In response to a preset first operation on the monitoring interface, the display size of the real-time monitoring image is reduced to display the reduced real-time monitoring image in the first display area and the monitoring evaluation image in the second display area, wherein the real-time monitoring image and the monitoring evaluation image do not overlap; or In response to a preset first operation on the monitoring interface, the real-time monitoring image is displayed in a first display area of the monitoring interface, and a window interface is displayed in a corresponding second display area, and the monitoring evaluation image is displayed in the window interface, wherein the real-time monitoring image is at least partially covered by the monitoring evaluation image.
3. The monitoring device as described in claim 1, characterized in that, The processor is also used for: Based on the monitoring data within a preset first display time period, the real-time parameter waveform is displayed in the first display area, and the real-time parameter value is also displayed in the first display area; Based on the monitoring data within a preset second display time period, the trend parameter waveform is displayed in the trend parameter waveform area, wherein the first display time period is shorter than the second display time period.
4. The monitoring device as described in claim 3, characterized in that, The trend parameter waveform area includes at least one waveform display area, and the processor is further configured to: Determine the waveform type corresponding to the trend parameter waveform; Trend parameter waveforms of the same waveform type can be displayed in the same waveform display area, while trend parameter waveforms of different waveform types can be displayed in different waveform display areas.
5. The monitoring device as described in claim 4, characterized in that, The processor is also used for: Each waveform display area displays a first title corresponding to the waveform type.
6. The monitoring device as described in claim 3, characterized in that, The second display area displays a time control, and the processor is specifically used for: When the time control receives a time selection command, the target display time length is determined and the target display time length is used as the second display time length; Based on the monitoring data within a preset second display time period, at least one of the trend parameter waveforms is displayed in the trend parameter waveform area.
7. The monitoring device as described in claim 3, characterized in that, The second display area also includes an evaluation parameter value area adjacent to the trend parameter waveform area and the image display area, and the processor is further configured to: The values of preset evaluation parameters are displayed in the evaluation parameter value area.
8. The monitoring device as described in claim 3, characterized in that, The processor is also used for: When the value of a specific evaluation parameter meets the preset conditions, the value of the specific evaluation parameter is displayed in a first preset display style. When the value of the specific evaluation parameter does not meet the preset conditions, the value of the specific evaluation parameter is displayed in a second preset display style. The first preset display style is different from the second preset display style. The first preset display style and the second preset display style include at least one of the following: color, font, font size, font style, font effect, font background color, or transparency of the specific evaluation parameter value.
9. The monitoring device as described in claim 3, characterized in that, The processor is also used for: When the value of the specific evaluation parameter meets the preset conditions, the target monitoring part associated with the value of the specific evaluation parameter that meets the preset conditions is determined from the virtual human body model, and the target monitoring part is dynamically highlighted.
10. The monitoring device as described in claim 1, characterized in that, The processor is also used for: In response to a review operation for any target monitoring point on the trend parameter waveform, the target parameter value corresponding to the target monitoring point is determined. The virtual human body model is updated and displayed based on the target parameter values.
11. The monitoring device as described in claim 10, characterized in that, The processor is specifically used for: Based on the target parameter values, the target monitoring parts associated with the target parameter values are graphically displayed on the virtual human body model.
12. The monitoring device as described in claim 10, characterized in that, The processor is specifically used for: Based on the target parameter values, the virtual human body model displays the historical status of the monitored part at the target monitoring point in a graphical static effect.
13. The monitoring device as described in claim 1, characterized in that, The processor is also used for: In response to a review operation for any target monitoring point on the trend parameter waveform, the target parameter value corresponding to the target monitoring point is determined. The target parameter value is used as the value of the specific evaluation parameter, and the target parameter value is displayed in a segment outside the trend parameter waveform area.
14. The monitoring device as described in claim 1, characterized in that, The processor is specifically used for: Based on the real-time parameter values of the specific evaluation parameters, the virtual human body model displays the real-time status of the monitored area in a graphical and dynamic manner.
15. The monitoring device as described in claim 1, characterized in that, The processor is also used for: In response to a rotation operation on the virtual human body model, different monitoring parts of the virtual human body model are displayed.
16. The monitoring device as described in claim 1, characterized in that, The processor is also used for: The abnormal monitoring area is graphically displayed on the virtual human body model using a preset display method; wherein, the preset display method includes one or any combination of brightness, color, thickness, boundary line, and indicator icon.
17. The monitoring device as described in claim 16, characterized in that, The processor is also used for: Determine the anomaly level of the target monitoring location; based on the correspondence between the anomaly level and the display method, determine the target display method corresponding to the target monitoring location, and display the target monitoring location according to the target display method; Alternatively, abnormal information associated with the abnormal monitoring site can be provided on the virtual human body model.
18. The monitoring device as described in claim 1, characterized in that, The processor is also used for: The data for the specific evaluation parameter are displayed on the monitoring and evaluation image; When the value of the specific evaluation parameter is greater than a first threshold, a first identifier is displayed at the value of the specific evaluation parameter. The first identifier is used to indicate that the value of the specific evaluation parameter is higher than the normal value. When the value of the specific evaluation parameter is less than the second threshold, a second identifier is displayed at the value of the specific evaluation parameter. The first identifier is used to indicate that the value of the specific evaluation parameter is lower than the normal value, wherein the first identifier is different from the second identifier. When the value of the specific evaluation parameter is less than or equal to the first threshold and greater than or equal to the second threshold, a third identifier is displayed at the value of the specific evaluation parameter or no identifier is displayed. The third identifier is used to indicate that the value of the specific evaluation parameter belongs to the normal value, wherein the third identifier is different from the first identifier and the second identifier.
19. The monitoring device as described in claim 7, characterized in that, The trend parameter waveform area includes at least one waveform display area, and the evaluation parameter value area includes at least one value display area, the at least one value display area corresponding to the at least one waveform display area; the processor is further configured to: Determine the parameter type and waveform type corresponding to the trend parameter waveform; The values of evaluation parameters of the same type are displayed in the same display area, while the values of evaluation parameters of different types are displayed in different display areas. Similarly, the waveforms of trend parameters of the same type are displayed in the same waveform display area, while the waveforms of trend parameters of different types are displayed in different waveform display areas.
20. The monitoring device as described in claim 19, characterized in that, The processor is also used for: Each waveform display area displays a first title corresponding to the waveform type, and each numerical display area displays a second title corresponding to the parameter type, wherein the first title and the second title are the same.
21. The monitoring device as described in claim 1, characterized in that, The processor described above is also used for: Determine the waveform type corresponding to the trend parameter waveform; Based on the waveform type corresponding to the trend parameter waveform, a virtual human body model associated with the waveform type is displayed; the virtual human body model includes at least one of organ images and human system images, the organ images include at least one of human head images, human heart images, and human lung images, and the human system images include at least one of nervous system images, circulatory system images, respiratory system images, digestive system images, urinary system images, reproductive system images, endocrine system images, and musculoskeletal system images.
22. The monitoring device as described in claim 21, characterized in that, The virtual human body model is the human head image; the waveform types corresponding to the trend parameter waveforms include cerebral blood flow related trend parameter waveforms, electroencephalogram related trend parameter waveforms, cerebral oxygen saturation related trend parameter waveforms, and cerebral vascular reactivity related trend parameter waveforms. The parameter types corresponding to the trend parameter waveforms include parameters related to cerebral blood flow, parameters related to electroencephalography (EEG), parameters related to cerebral oxygen saturation, and parameters related to cerebrovascular reactivity.
23. The monitoring device as described in claim 1, characterized in that, The second display area displays settings items, and the processor is further configured to: Receive an edit request for the setting item and generate edit operation information corresponding to the edit request; Based on the editing operation information, update the contents of the trend parameter waveform, the virtual human model, and / or the value of the specific evaluation parameter.
24. The monitoring device as described in claim 1, characterized in that, The second display area includes a waveform switching display area, and the processor is further configured to: When the monitoring data is detected to contain preset parameter data, a preset trend waveform is displayed in the waveform switching display area; wherein, the preset parameter data includes cerebral perfusion pressure and pressure responsiveness index, and the preset trend waveform is the pressure responsiveness index trend waveform.
25. The monitoring device as described in claim 24, characterized in that, The processor is also used for: In response to the switching operation of the preset trend waveform, the waveform switching display area is switched from displaying the preset trend waveform to displaying a medical data association graph associated with the preset trend waveform; the medical data association graph is a U-shaped relationship graph between the pressure responsiveness index and the cerebral perfusion pressure.
26. A method for displaying monitoring data, characterized in that, Applied to monitoring equipment, the monitoring equipment displays a monitoring interface, and the display method includes the following steps: Acquire monitoring data, wherein the monitoring data includes parameter values and parameter waveforms of multiple parameters, the parameter values of the multiple parameters include real-time parameter values and historical parameter values, and the parameter waveforms of the multiple parameters include real-time parameter waveforms; The monitoring interface displays a real-time monitoring image in a first display area and a monitoring evaluation image in a second display area, with the real-time monitoring image and the monitoring evaluation image displayed on the same screen; wherein: The real-time monitoring image is used to present at least one of the real-time parameter values and the real-time parameter waveforms. The monitoring and evaluation image is used to present the trend parameter waveforms of some of the multiple parameters, and a virtual human body model associated with the trend parameter waveforms. The second display area includes a trend parameter waveform area and an image display area. The trend parameter waveform is displayed in the trend parameter waveform area, and the display time of the trend parameter waveform is longer than that of the real-time parameter waveform. The real-time parameter waveform has more waveform types than the trend parameter waveform. The waveform types of the trend parameter waveform can be customized. The virtual human body model is displayed in the image display area, and the values of specific evaluation parameters are displayed in the area outside the virtual human body model in the image display area. The specific evaluation parameters are associated with the monitoring parts that can be presented by the virtual human body model. The virtual human body model is used to graphically display the associated monitoring parts according to the values of the specific evaluation parameters. The specific evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveforms.
27. A method for displaying monitoring data, characterized in that, Applied to monitoring equipment, the monitoring equipment displays a monitoring interface, and the display method includes the following steps: Acquire monitoring data, wherein the monitoring data includes parameter values and parameter waveforms of multiple parameters, the parameter values of the multiple parameters include real-time parameter values and historical parameter values, and the parameter waveforms of the multiple parameters include real-time parameter waveforms; The monitoring interface displays real-time monitoring images in a first display area and monitoring evaluation images in a second display area; wherein: The real-time monitoring image is used to present at least one of the real-time parameter values and the real-time parameter waveforms. The monitoring evaluation image is used to simultaneously present the trend parameter waveforms of some of the multiple parameters and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than that of the real-time parameter waveforms, and the waveform types of the real-time parameter waveforms are more numerous than those of the trend parameter waveforms. The virtual human body model is used to graphically display the monitored area based on the trend parameter waveforms. The trend parameter waveforms include real-time waveforms and historical waveforms. Based on the real-time waveforms and the virtual human body model, the real-time status of the monitored area is dynamically displayed, and based on the historical waveforms and the virtual human body model, the historical status of the monitored area is statically displayed.
28. A monitoring device, characterized in that, The monitoring device includes a display and a processor. The display is used to show a monitoring interface, and the processor is used for: Acquire monitoring data, wherein the monitoring data includes parameter values and parameter waveforms of multiple parameters, the parameter values of the multiple parameters include real-time parameter values and historical parameter values, and the parameter waveforms of the multiple parameters include real-time parameter waveforms; The monitoring interface displays real-time monitoring images in a first display area and monitoring evaluation images in a second display area; wherein: The real-time monitoring image is used to present at least one of the real-time parameter values and the real-time parameter waveforms. The monitoring evaluation image is used to simultaneously present the trend parameter waveforms of some of the multiple parameters and a virtual human body model associated with the trend parameter waveforms. The display time of the trend parameter waveforms is longer than that of the real-time parameter waveforms, and the waveform types of the real-time parameter waveforms are more numerous than those of the trend parameter waveforms. The virtual human body model is used to graphically display the monitored area based on the trend parameter waveforms. The trend parameter waveforms include real-time waveforms and historical waveforms. Based on the real-time waveforms and the virtual human body model, the real-time status of the monitored area is dynamically displayed, and based on the historical waveforms and the virtual human body model, the historical status of the monitored area is statically displayed.
29. The monitoring device as described in claim 28, characterized in that, The processor is specifically used for: In response to a preset first operation on the monitoring interface, the display size of the real-time monitoring image is reduced to display the reduced real-time monitoring image in the first display area and the monitoring evaluation image in the second display area, wherein the real-time monitoring image and the monitoring evaluation image do not overlap; or In response to a preset first operation on the monitoring interface, the real-time monitoring image is displayed in a first display area of the monitoring interface, and a window interface is displayed in a corresponding second display area, and the monitoring evaluation image is displayed in the window interface, wherein the real-time monitoring image is at least partially covered by the monitoring evaluation image.
30. The monitoring device as described in claim 28, characterized in that, The processor is also used for: Based on the monitoring data within a preset first display time period, the real-time parameter waveform is displayed in the first display area, and the real-time parameter value is also displayed in the first display area; The second display area includes a trend parameter waveform area and an image display area. The trend parameter waveform is displayed in the trend parameter waveform area. The trend parameter waveform is displayed in the trend parameter waveform area according to the monitoring data within a preset second display time length. The first display time length is shorter than the second display time length.
31. The monitoring device as described in claim 30, characterized in that, The trend parameter waveform area includes at least one waveform display area, and the processor is further configured to: Determine the waveform type corresponding to the trend parameter waveform; Trend parameter waveforms of the same waveform type can be displayed in the same waveform display area, while trend parameter waveforms of different waveform types can be displayed in different waveform display areas.
32. The monitoring device as described in claim 31, characterized in that, The processor is also used for: Each waveform display area displays a first title corresponding to the waveform type.
33. The monitoring device as described in claim 30, characterized in that, The second display area displays a time control, and the processor is specifically used for: When the time control receives a time selection command, the target display time length is determined and the target display time length is used as the second display time length; Based on the monitoring data within a preset second display time period, at least one of the trend parameter waveforms is displayed in the trend parameter waveform area.
34. The monitoring device as described in claim 30, characterized in that, The second display area includes a trend parameter waveform area and an image display area. The trend parameter waveform is displayed in the trend parameter waveform area, and the virtual human model is displayed in the image display area. The second display area also includes an evaluation parameter value area adjacent to the trend parameter waveform area and the image display area. The processor is further configured to: The values of preset evaluation parameters are displayed in the evaluation parameter value area.
35. The monitoring device as described in claim 30, characterized in that, The processor is also used for: The virtual human body model is displayed within the image display area, and the values of specific evaluation parameters are displayed in an area outside the virtual human body model within the image display area. The specific evaluation parameters are associated with monitoring parts that can be presented by the virtual human body model. The virtual human body model is used to graphically display the associated monitoring parts according to the values of the specific evaluation parameters. The specific evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveform. When the value of the specific evaluation parameter meets a preset condition, the value of the specific evaluation parameter is displayed in a first preset display style. When the value of the specific evaluation parameter does not meet the preset condition, the value of the specific evaluation parameter is displayed in a second preset display style. The first preset display style is different from the second preset display style. The first preset display style and the second preset display style include at least one of the following: color, font, font size, font style, font effect, font background color, or transparency of the specific evaluation parameter value.
36. The monitoring device as described in claim 30, characterized in that, The processor is also used for: The virtual human body model is displayed within the image display area, and the values of specific evaluation parameters are displayed in an area outside the virtual human body model within the image display area. The specific evaluation parameters are associated with the monitoring parts that can be presented by the virtual human body model. The virtual human body model is used to graphically display the associated monitoring parts according to the values of the specific evaluation parameters. The specific evaluation parameters are at least partially the same as the parameters corresponding to the trend parameter waveform. When the values of the specific evaluation parameters meet preset conditions, the target monitoring parts associated with the values of the specific evaluation parameters that meet the preset conditions are determined from the virtual human body model, and the target monitoring parts are dynamically highlighted.
37. The monitoring device as described in claim 28, characterized in that, The processor is also used for: In response to a review operation for any target monitoring point on the trend parameter waveform, the target parameter value corresponding to the target monitoring point is determined. The virtual human body model is updated and displayed based on the target parameter values.
38. The monitoring device as described in claim 37, characterized in that, The processor is specifically used for: Based on the target parameter values, the target monitoring parts associated with the target parameter values are graphically displayed on the virtual human body model.
39. The monitoring device as described in claim 37, characterized in that, The processor is specifically used for: Based on the target parameter values, the virtual human body model displays the historical status of the monitored part at the target monitoring point in a graphical static effect.
40. The monitoring device as described in claim 28, characterized in that, The processor is also used for: In response to a review operation for any target monitoring point on the trend parameter waveform, the target parameter value corresponding to the target monitoring point is determined. The second display area includes a trend parameter waveform area and an image display area. The trend parameter waveform is displayed in the trend parameter waveform area, and the target parameter value is used as the value of a specific evaluation parameter. The target parameter value is also displayed in a segment outside the trend parameter waveform area. The specific evaluation parameter is associated with the monitoring parts that can be presented by the virtual human body model. The virtual human body model is used to graphically display the associated monitoring parts according to the value of the specific evaluation parameter. The specific evaluation parameter is at least partially the same as the parameter corresponding to the trend parameter waveform.
41. The monitoring device as described in claim 28, characterized in that, The processor is also used for: In response to a rotation operation on the virtual human body model, different monitoring parts of the virtual human body model are displayed.
42. The monitoring device as described in claim 28, characterized in that, The processor is also used for: The abnormal monitoring area is graphically displayed on the virtual human body model using a preset display method; wherein, the preset display method includes one or any combination of brightness, color, thickness, boundary line, and indicator icon.
43. The monitoring device as described in claim 42, characterized in that, The processor is also used for: Determine the anomaly level of the target monitoring location; based on the correspondence between the anomaly level and the display method, determine the target display method corresponding to the target monitoring location, and display the target monitoring location according to the target display method; Alternatively, abnormal information associated with the abnormal monitoring site can be provided on the virtual human body model.
44. The monitoring device as described in claim 34, characterized in that, The trend parameter waveform area includes at least one waveform display area, and the evaluation parameter value area includes at least one value display area, the at least one value display area corresponding to the at least one waveform display area; the processor is further configured to: Determine the parameter type and waveform type corresponding to the trend parameter waveform; The values of evaluation parameters of the same type are displayed in the same display area, while the values of evaluation parameters of different types are displayed in different display areas. Similarly, the waveforms of trend parameters of the same type are displayed in the same waveform display area, while the waveforms of trend parameters of different types are displayed in different waveform display areas.
45. The monitoring device as described in claim 44, characterized in that, The processor is also used for: Each waveform display area displays a first title corresponding to the waveform type, and each numerical display area displays a second title corresponding to the parameter type, wherein the first title and the second title are the same.
46. The monitoring device as described in claim 28, characterized in that, The processor described above is also used for: Determine the waveform type corresponding to the trend parameter waveform; Based on the waveform type corresponding to the trend parameter waveform, a virtual human body model associated with the waveform type is displayed; the virtual human body model includes at least one of organ images and human system images, the organ images include at least one of human head images, human heart images, and human lung images, and the human system images include at least one of nervous system images, circulatory system images, respiratory system images, digestive system images, urinary system images, reproductive system images, endocrine system images, and musculoskeletal system images.
47. The monitoring device as described in claim 46, characterized in that, The virtual human body model is the human head image; the waveform types corresponding to the trend parameter waveforms include cerebral blood flow related trend parameter waveforms, electroencephalogram related trend parameter waveforms, cerebral oxygen saturation related trend parameter waveforms, and cerebral vascular reactivity related trend parameter waveforms. The parameter types corresponding to the trend parameter waveforms include parameters related to cerebral blood flow, parameters related to electroencephalography (EEG), parameters related to cerebral oxygen saturation, and parameters related to cerebrovascular reactivity.
48. The monitoring device as described in claim 28, characterized in that, The second display area displays settings items, and the processor is further configured to: Receive an edit request for the setting item and generate edit operation information corresponding to the edit request; Based on the editing operation information, update the content in the trend parameter waveform, the virtual human body model, and / or the value of a specific evaluation parameter, wherein the specific evaluation parameter is associated with a monitoring part that can be presented by the virtual human body model; the virtual human body model is used to graphically display the associated monitoring part based on the value of the specific evaluation parameter, wherein the specific evaluation parameter is at least partially the same as the parameter corresponding to the trend parameter waveform.