Monitoring device, medical central station system and method for reviewing monitoring data

Abstract

The application discloses a kind of monitoring equipment, medical central station system and the review method of monitoring data.The monitoring equipment includes sensor, display and processor.Sensor is used to collect the monitoring data of patient.Display is used to display monitoring interface.Processor is used to obtain monitoring data;According to monitoring data, real-time monitoring image and monitoring evaluation image are displayed on monitoring interface, monitoring evaluation image is used to present the parameter trend curve of multiple parameters and virtual human body model, and optionally also used to present the preset evaluation parameter value of multiple parameters;Virtual human body model is used to graphically display monitoring site;In response to the review operation for any target monitoring point on parameter trend curve, determine the target parameter value corresponding to target monitoring point;According to target parameter value, update display virtual human body model and optionally preset evaluation parameter value, browsing operation is simple, can be observed to monitoring site point, improve the interpretation efficiency of medical staff to relevant monitoring data.

Description

[0001] This application is a divisional application of the invention patent application filed on October 18, 2021, with application number 202111214058.2 and title "Monitoring Equipment, Medical Central Station System and Method for Reviewing Monitoring Data". Technical Field

[0002] This invention relates to the field of medical monitoring technology, and more particularly to a monitoring device, a medical central station system, and a method for reviewing monitoring data. Background Technology

[0003] Monitoring devices can monitor a patient's vital signs in real time, thus providing crucial patient information for clinical medical diagnosis. Healthcare professionals can review historical monitoring data to identify anomalies. However, when doctors need to focus on a patient's information at different times, they must switch between different interfaces to review multiple monitoring data points to pinpoint abnormalities. This makes it difficult for healthcare professionals to quickly grasp the patient's overall condition, resulting in complex and time-consuming operations and increasing the risk of delayed diagnosis. Furthermore, the monitoring device's interface does not graphically update the monitoring location based on the data from a specific reviewed monitoring point, hindering healthcare professionals from quickly and effectively assessing or diagnosing patient conditions and / or understanding the monitoring device's connection status. Summary of the Invention

[0004] In view of this, it is necessary for the present invention to provide a monitoring device, a medical central station system, and a method for reviewing monitoring data in order to solve the above-mentioned technical problems.

[0005] In a first aspect, embodiments of the present invention provide a monitoring device for monitoring a patient's physiological state. The monitoring device includes a sensor, a display, and a processor. The sensor is used to collect monitoring data from the patient, the monitoring data including parameter values ​​of multiple parameters, including real-time parameter values ​​and historical parameter values. The display is used to display a monitoring interface. The processor is used to: acquire the monitoring data from the sensor; display a real-time monitoring image and a monitoring evaluation image on the monitoring interface based on the monitoring data, wherein the real-time monitoring image is used to present the real-time parameter values ​​and / or real-time parameter waveforms, and the monitoring evaluation image is used to present parameter trend curves of the multiple parameters and a virtual human body model, optionally also used to present preset evaluation parameter values ​​of the multiple parameters; the virtual human body model is used to graphically display monitoring sites based on the parameter values ​​or parameter trend curves of the multiple parameters; respond to a review operation for any target monitoring point on the parameter trend curve, determine the target parameter value corresponding to the target monitoring point; and update the display of the virtual human body model and the optionally preset evaluation parameter values ​​based on the target parameter values.

[0006] Secondly, this application provides a method for reviewing monitoring data, applied to monitoring equipment in a medical central station system. The review method includes the following steps:

[0007] The patient's monitoring data is collected, wherein the monitoring data includes the parameter values ​​of multiple parameters, including real-time parameter values ​​and historical parameter values;

[0008] Display a monitoring interface;

[0009] Acquire the monitoring data;

[0010] Based on the monitoring data, real-time monitoring images and monitoring evaluation images are displayed on the monitoring interface. The real-time monitoring images are used to present the real-time parameter values ​​and / or real-time parameter waveforms. The monitoring evaluation images are used to present the parameter trend curves of the various parameters and a virtual human body model, and optionally also to present the preset evaluation parameter values ​​of the various parameters. The virtual human body model is used to graphically display the monitoring parts based on the parameter values ​​or parameter trend curves of the various parameters.

[0011] In response to a review operation for any target monitoring point on the parameter trend curve, the target parameter value corresponding to the target monitoring point is determined.

[0012] Based on the target parameter values, update the display of the virtual human body model and the optional preset evaluation parameter values.

[0013] Thirdly, this application provides a medical central station system, comprising a central station device communicatively connected to a monitoring device, the central station device acquiring monitoring data from the monitoring device, and the central station device including a display, a processor, and a memory. The memory stores a program. The display shows a monitoring interface. The processor executes the program stored in the memory and is configured to:

[0014] Based on the monitoring data, real-time monitoring images and monitoring evaluation images are displayed on the monitoring interface. The real-time monitoring images are used to present the real-time parameter values ​​and / or real-time parameter waveforms. The monitoring evaluation images are used to present the parameter trend curves of the various parameters and a virtual human body model, and optionally also to present the preset evaluation parameter values ​​of the various parameters. The virtual human body model is used to graphically display the monitoring parts based on the parameter values ​​or parameter trend curves of the various parameters.

[0015] In response to a review operation for any target monitoring point on the parameter trend curve, the target parameter value corresponding to the target monitoring point is determined.

[0016] Based on the target parameter values, update the display of the virtual human body model and the optional preset evaluation parameter values.

[0017] This application provides a monitoring device, a medical central station system, and a method for reviewing monitoring data. Based on the simultaneous display of 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 parameter trend curve. 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 selectable 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. Attached Figure Description

[0018] 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 based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the program modules of the medical central station system provided in an embodiment of the present invention.

[0020] Figure 2 This is a flowchart of the steps of the monitoring data display method provided in the embodiments of the present invention.

[0021] Figure 3 This is an interface diagram of the monitoring interface displayed by the monitoring equipment in the medical central station system provided in the embodiments of the present invention.

[0022] 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.

[0023] 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.

[0024] Figure 6 The monitoring device response provided in this embodiment of the invention is for Figure 5 The interface diagram of the monitoring interface is displayed by rotating the virtual human body model in the monitoring interface.

[0025] Figure 7 This is a flowchart of the steps of the monitoring data review method provided in the embodiments of the present invention.

[0026] Figure 8 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 parameter trend curve.

[0027] Figure 9 yes Figure 8 A schematic diagram of the monitoring interface window. Detailed Implementation

[0028] 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.

[0029] 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 trends 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.

[0030] 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.

[0031] This invention provides a method for displaying monitoring data, a monitoring device, and a medical central station system. The method for displaying monitoring data is applied to the medical central station system or the monitoring device, which displays a monitoring interface. The display method includes the following steps:

[0032] The system acquires monitoring data, which includes parameter values ​​for multiple parameters, including real-time parameter values ​​and historical parameter values. In response to a preset first operation on the monitoring interface, it displays a real-time monitoring image in a first display area of ​​the monitoring interface and a monitoring evaluation image in a second display area of ​​the monitoring interface. The real-time monitoring image presents at least one of the real-time parameter values ​​and real-time parameter waveforms. The monitoring evaluation image presents parameter trend curves and a virtual human model for at least some of the multiple parameters, and optionally also presents preset evaluation parameter values ​​for the multiple parameters. The display time of the parameter trend curve is longer than the display time of the real-time parameter waveform. The virtual human model graphically displays the monitored body part based on the parameter values ​​or parameter trend curves of the multiple parameters. The preset evaluation parameter values ​​are either the real-time parameter values ​​or the historical parameter values.

[0033] Thus, the 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 changes between preset evaluation parameter values ​​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-efficient, enabling more timely detection of changes in the patient's condition and reducing the risk of delays in diagnosis. Furthermore, based on the preset evaluation parameter values, the monitoring location is graphically displayed on the monitoring interface of the monitoring device, allowing medical staff to quickly and effectively assess or diagnose the patient's condition and / or understand the connection status of various components in the monitoring device.

[0034] This invention provides a method for reviewing monitoring data. The method is applied to a medical central station system or a monitoring device, which displays a monitoring interface. The review method includes the following steps: collecting monitoring data from a patient, wherein the monitoring data includes parameter values ​​of multiple parameters, including real-time parameter values ​​and historical parameter values; displaying a monitoring interface; acquiring the monitoring data; displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface based on the monitoring data, wherein the real-time monitoring image is used to present the real-time parameter values ​​and / or real-time parameter waveforms, and the monitoring evaluation image is used to present parameter trend curves of the multiple parameters and a virtual human body model, optionally also used to present preset evaluation parameter values ​​of the multiple parameters; the virtual human body model is used to graphically display monitoring sites based on the parameter values ​​or parameter trend curves of the multiple parameters; responding to a review operation for any target monitoring point on the parameter trend curve, determining the target parameter value corresponding to the target monitoring point; and updating the virtual human body model and the optionally preset evaluation parameter value based on the target parameter value.

[0035] 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 parameter trend curve. 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 device can graphically update and display the monitoring site and selectable 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.

[0036] Please see Figure 1 , Figure 1 The diagram shown is a structural schematic of a medical central station system 1000 provided in an embodiment of this application. The medical central station 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.

[0037] The monitoring device 100 can be, but is not limited to, any one or a combination of a patient monitor, a local central station device, a remote central station device, a cloud service system, and a mobile terminal. In this embodiment, the monitoring device 100 can be a patient monitor used to monitor the patient's parameters in real time. The patient monitor can include bedside monitors, wearable monitors, etc. The third-party device 300 includes a central station device. The central station device is used to receive the monitoring data sent by the patient monitor and to centrally monitor the monitoring data. The central station device can include at least one of a local central station device and a remote central station device.

[0038] It should be noted that the central station equipment connects monitors in one or more departments via a network to achieve real-time centralized monitoring and massive data storage. For example, the central station equipment stores, but is not limited to, monitoring data, basic patient information, medical history, and diagnostic information.

[0039] In some embodiments, the monitor and the central station device can form an interconnection platform via BeneLink to enable data communication between them. For example, the central station device can access the monitoring data detected by the monitor. In other embodiments, the monitor and the central station device 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.

[0040] Specifically, in this embodiment, the monitoring device 100 includes a ventilator monitor, anesthesia monitor, defibrillator monitor, intracranial pressure monitor, electrocardiogram monitor, etc. 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.

[0041] Those skilled in the art should understand that the aforementioned Figure 1 This is merely an example of the components included in the medical central station system 1000 and does not constitute a limitation on the medical central station system 1000. Furthermore, the monitoring device 100 and the medical central station system 1000 may include components beyond those specified in the original text. Figure 1 The system may include more or fewer components, or combine certain components, or different components. For example, the monitoring device 100 may also include a power module, and the medical central station system 1000 may also include a positioning and navigation device, a printing device, etc.

[0042] In some embodiments, the processor 20 is configured to: acquire monitoring data, wherein the monitoring data includes parameter values ​​of multiple parameters, the parameter values ​​of the multiple parameters 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 the real-time parameter values ​​and real-time parameter waveforms, and the monitoring evaluation image is used to present parameter trend curves of at least some of the multiple parameters and a virtual human model and / or preset evaluation parameter values; the display time of the parameter trend curve is greater than the display time of the real-time parameter waveform; the virtual human model is used to graphically display the monitoring part according to the preset evaluation parameter values; the preset evaluation parameter values ​​are the real-time parameter values; or, are the historical parameter values.

[0043] The 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 changes between preset evaluation parameter values ​​corresponding to a specific monitoring point. This allows medical staff to quickly review the overall patient monitoring data, and 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. Furthermore, based on the preset evaluation parameter values, the monitoring location is graphically displayed on the monitoring device's interface, allowing medical staff to quickly and effectively assess or diagnose the patient's condition and / or understand the connection status of various components within the monitoring device.

[0044] In some embodiments, the processor 20 is further configured to: acquire monitoring data, wherein the monitoring data includes parameter values ​​of multiple parameters, the parameter values ​​of the multiple parameters 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 the real-time parameter values ​​and real-time parameter waveforms, and the monitoring evaluation image is used to present parameter trend curves of the multiple parameters and a virtual human body model and / or preset evaluation parameter values; the virtual human body model is used to graphically display the monitoring parts according to the preset evaluation parameter values; respond to a review operation for any target monitoring point on the parameter trend curve, determine the target parameter value corresponding to the target monitoring point; and update the display of the virtual human body model and the optional preset evaluation parameter values ​​according to the target parameter values.

[0045] 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 parameter trend curve. 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 device can graphically update and display the monitoring site and selectable 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.

[0046] 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 or wireless communication protocol to enable data interaction between them. The wireless communication technology includes, but is not limited to, various generations of mobile communication technologies (2G, 3G, 4G, and 5G), wireless networks, Bluetooth, ZigBee, UWB, NFC, etc.

[0047] Specifically, sensor 10 is used to collect patient monitoring data. The monitoring parameters may include physiological parameters. These physiological parameters include, but are not limited to, one or more vital signs parameters selected from electrocardiogram, respiration, pulse oxygen saturation, heart rate, blood oxygen saturation, non-invasive blood pressure, and invasive blood pressure.

[0048] 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 some other embodiments, the sensor 10 can also be integrated into the monitoring device 100.

[0049] 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.

[0050] The processor 20 can also be used to control the collaboration 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 trends.

[0051] 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.

[0052] 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.

[0053] In some embodiments, the monitoring device 100 further includes an alarm module 50 connected to the processor 20. The alarm module 50 is used to output alarm prompts so that medical personnel can take appropriate rescue measures and can monitor the patient's condition and the device's operating status in real time, thereby preventing negligence by medical personnel or patients and improving the safety of monitoring. The alarm module 50 is, for example, but not limited to, an alarm light or an alarm speaker. In this embodiment, the alarm module includes a light-emitting diode and / or a buzzer to generate an audible and visual alarm signal. 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. The specific alarm information can be displayed on the display 30, played through an audio alarm speaker, or printed out using a printing device.

[0054] 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.

[0055] 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 described above, the display 30 may also serve as an input / output device 60, such as a touch screen.

[0056] 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 parameters 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.

[0057] 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.

[0058] 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 equipment 100, connecting all parts of the monitoring equipment 100 via various interfaces and lines. Processor 20 is also the control center of third-party equipment 300, connecting all parts of the third-party equipment 300 via various interfaces and lines.

[0059] 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 S205 in the process, Figure 7 Steps S701 to S709, etc. are described below. Specifically, memory 40 stores program 401, memory 306 stores program 307, and processors 20 and 302 are used to call programs 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.

[0060] 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, application programs 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.

[0061] 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 preset evaluation parameter values ​​corresponding to a specific monitoring point. This allows medical staff to quickly browse the overall situation of patient 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 preset evaluation parameter values, the monitoring location is graphically displayed on the monitoring interface of the monitoring device, allowing medical staff to quickly and effectively assess or diagnose the patient's condition and / or understand the connection status of various components in the monitoring device. These are described in detail below.

[0062] 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 medical central station system 1000. Specifically, the monitoring data display 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 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.

[0063] Step S201: A monitoring interface is displayed.

[0064] It is understood that when the monitoring data display method is applied to the aforementioned monitoring device 100, before step S201, the display method further includes: collecting the patient's monitoring data. In this embodiment, the patient's monitoring data is collected by the sensor 10 of the monitoring device 100. The processor 20 obtains the monitoring data from the sensor 10. When the monitoring data display method is applied to the central station device of the aforementioned medical central station system 1000, the central station device displays the interface, and the central station device obtains the monitoring data from the monitoring device 100. It should be noted that step S201 can be executed before step S203; or, it can also be executed after step S203.

[0065] Step S203: Obtain monitoring data, wherein the monitoring data includes parameter values ​​of multiple parameters, including real-time parameter values ​​and historical parameter values.

[0066] 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 trends corresponding to the parameter values ​​of the various parameters. The parameter trends are continuously generated over time. The parameter trends include real-time parameter waveforms displayed on the monitoring device 100 and historical parameter trends that are hidden or masked. The monitoring data includes brain protection-related monitoring data.

[0067] 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.

[0068] 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), and mean arterial pressure (MAP). The electroencephalogram (EEG) related monitoring data includes, but is not limited to, electroencephalogram (EEG), bispectral index (BIS), amplitude-integrated electroencephalogram (aEEG), digital substraction angiography (DSA) spectrograms, and pressure response index (PRx). The cerebral oxygenation related monitoring data includes, but is not limited to, regional cerebral oxygen saturation (rSO2) and transcranial Doppler (TCD) ultrasound data. The cerebrovascular regulation related monitoring data includes, but is not limited to, end-tidal carbon dioxide concentration or partial pressure (EtCO2) and body temperature (TEMP).

[0069] 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. These status icons may include, but are not limited to, network icons, battery level icons, monitoring type icons, patient basic information icons, etc.

[0070] The menu bar 33 can be used to display function menu item icons. These function menu item 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 adjustment icons, power on / off icons, menu settings item icons, etc.

[0071] Step S205: 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 monitoring evaluation image is displayed 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, and the monitoring evaluation image is used to present parameter trend curves and a virtual human body model of at least some of the multiple parameters, and optionally also to present preset evaluation parameter values ​​of the multiple parameters; the display time of the parameter trend curve 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 parameter values ​​or parameter trend curves of the multiple parameters; the preset evaluation parameter value is the real-time parameter value; or, it is the historical parameter value.

[0072] In this embodiment, by displaying parameter trend curves and a virtual human body model of at least some of the multiple parameters in the second display area of ​​the monitoring interface, and the virtual human body model is used to graphically display the monitoring site based on the parameter values ​​or parameter trend curves of the multiple parameters, medical personnel can quickly understand the status of the monitoring site by viewing the virtual human body model and parameter trend curves corresponding to the monitoring points of interest, thereby improving the efficiency of doctors in interpreting multiple parameters. Furthermore, optionally, preset evaluation parameter values ​​of the multiple parameters are also displayed in the second display area, further assisting medical personnel in understanding the patient's condition and enabling appropriate manual intervention, thereby improving the work efficiency of medical personnel.

[0073] Optionally, in some embodiments, the response to a preset first operation of the monitoring interface, displaying the 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: controlling the simultaneous display of the real-time monitoring image and the monitoring evaluation image based on the monitoring data, displaying the real-time monitoring image in the first display area of ​​the monitoring interface, and displaying the monitoring evaluation image in the second display area of ​​the monitoring interface.

[0074] Optionally, in some embodiments, before the response to a preset first operation on the monitoring interface, the display method further includes: displaying the real-time monitoring image on the monitoring interface based on the monitoring data. This allows for controlled display of the monitoring evaluation image on the corresponding display interface of the real-time monitoring image.

[0075] The real-time monitoring image is displayed within the taskbar 35. In this embodiment, the real-time waveforms of the various parameters are displayed in the upper left area of ​​the taskbar 35, and the real-time values ​​of the various parameters are displayed in the right and lower left areas of the taskbar 35. In other embodiments, the real-time waveforms of the various parameters may be displayed in the left area of ​​the taskbar 35, while the real-time values ​​of the various parameters 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 user viewing, which also greatly saves medical staff's 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.

[0076] In this embodiment, the multiple parameters include, but are not limited to, at least one of electrocardiogram (ECG), ICP, CPP, MAP, EEG, BIS, aEEG, rSO2, and etCO2. In other embodiments, the multiple parameters may also include, but are not limited to, monitoring parameters related to cardiac protection, lung protection, the nervous system, the blood system, the urinary system, etc. The categories of the monitoring parameters can be user-defined or set by the factory default of the monitoring device.

[0077] It should be noted that the term "real-time" can refer to the most recently collected timestamp sample, which is not necessarily the current moment. For example, if a new SpO2 sample is collected every two seconds, the real-time parameter values ​​displayed in the evaluation parameter value area may be those collected up to two seconds before the current moment. Here, the real-time parameter value refers to the value most recently collected. The real-time parameter waveform refers to the parameter trend corresponding to a preset time period prior to the current moment. The preset time period is either a user-defined display duration of the real-time parameter waveform or the factory default setting of the monitoring device, such as 10 minutes, 20 minutes, 30 minutes, etc.

[0078] The preset evaluation parameter value can be the parameter value corresponding to the latest monitoring point on the parameter trend curve (i.e., the real-time parameter value); or the historical parameter value can be the parameter value corresponding to a certain historical monitoring point on the parameter trend curve.

[0079] In this embodiment, the trend types and number of trends of the real-time parameter waveform are greater than the trend types and number of trends of the parameter trend curves. The trend type of the real-time parameter waveform corresponds to the parameter type. The trend type of the real-time parameter waveform may include at least some of the trend types of the parameter trend curves.

[0080] Specifically, the monitoring and evaluation image presents parameter trend curves corresponding to the trend types of all the real-time parameter waveforms; or, the monitoring and evaluation image presents parameter trend curves corresponding to the trend types of some of the real-time parameter waveforms; or, the monitoring and evaluation image presents parameter trend curves other than the trend types of some of the real-time parameter waveforms. For example, the trend types of the parameter trend curves include MAP trend, rSO2-1 trend, and rSO2-2 trend, while the trend types of the real-time parameter waveforms do not include MAP trend, rSO2-1 trend, and rSO2-2 trend. The trend types of both the parameter trend curves and the real-time parameter waveforms include ICP trend, Fp1-T3 trend, Fp2-T4 trend, C3-O1 trend, C4-O2 trend, and EtCO2 trend. In some embodiments, the trend types and number of trends of the real-time parameter waveforms correspond to the trend types and number of trends of the parameter trend curves.

[0081] 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.

[0082] In one embodiment, the response to a preset first operation of the monitoring interface, displaying the 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:

[0083] 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.

[0084] 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 4 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 are adjacent to each other and do not overlap, that is, the monitoring 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 monitoring evaluation image is displayed within the window interface 340. In some other embodiments, the monitoring evaluation image may also be directly displayed within the second display area 34.

[0085] In some embodiments, the response to a preset first operation of the monitoring interface, reducing the display size of the real-time monitoring image to display the reduced-size real-time monitoring image in the first display area and the monitoring evaluation image in the second display area, includes:

[0086] 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 a corresponding window interface is displayed in the second display area.

[0087] The monitoring and evaluation image is then displayed within the window interface.

[0088] 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 and evaluation image is displayed in the window interface 340.

[0089] 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 the 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.

[0090] In another embodiment, the response to a preset first operation of the monitoring interface, displaying the 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:

[0091] 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.

[0092] Please refer to the following: Figures 2 to 5 , Figure 5 The 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 right-hand 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 and evaluation image is displayed within the window interface 340. In some other embodiments, the monitoring and evaluation image may also be displayed directly within the second display area 34.

[0093] In some embodiments, the display method further includes:

[0094] 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.

[0095] The window interface 340 can move, zoom in, or zoom out of the monitoring and evaluation image based on user input. For example, a single-finger operation window interface 340 can be defined to implement the movement operation, and a two-finger or multi-finger operation window interface 340 can be defined to implement the zoom in and zoom out operations. The movement operation, the zoom out operation, and the zoom in operation can adopt existing image adjustment operations, and this invention does not impose specific limitations.

[0096] The display method further includes:

[0097] In response to a preset second operation on the monitoring interface, the 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.

[0098] 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 the control icon 331, and the second operation is clicking the close button 341 on the window interface 340 or clicking the 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 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.

[0099] like Figure 4 and Figure 5 As shown, the window interface 340 includes a close button 341. The display method further includes:

[0100] In response to a closing operation of the close button, the display size of the real-time monitoring image is enlarged or the display size of the real-time monitoring image remains unchanged, so that the real-time monitoring image covers the first display area and the second display area.

[0101] In response to the closing 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.

[0102] Please see Figure 4 and Figure 5 The first display area 32 includes a first area 322 and a second area 324, and the second display area 34 includes a parameter trend curve area 342 adjacent to the first area 322. The display method further includes:

[0103] Based on the monitoring data within a preset first display time period, the real-time parameter waveform is displayed in the first area, and the real-time parameter value is displayed in the second area;

[0104] Based on the monitoring data within a preset second display time period, the parameter trend curve is displayed in the parameter trend curve area, wherein the first display time period is shorter than the second display time period.

[0105] The preset first display time length and the 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 can be 20 minutes, 30 minutes, etc., and the preset second display time length can be 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 display region 324 located to the right and bottom of the first display region 322. In some embodiments, the first region 322 can also be arranged side by side with the second region 324, thereby avoiding visual confusion caused by the parameter trend curve being connected to the real-time parameter waveform, and providing users with a better observation effect of the parameter trend curve and real-time parameter waveform.

[0106] 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 parameter trend curve, which is beneficial for medical staff to diagnose the patient's condition.

[0107] The parameter trend curve area includes at least one trend display area, and the display method further includes:

[0108] Determine the trend type corresponding to the parameter trend curve;

[0109] Displaying parameter trend curves of the same trend type in the same trend display area, and displaying parameter trend curves of different trend types in different trend display areas.

[0110] like Figure 4 As shown, in this embodiment, the at least one trend display area 3421 includes four trend display areas. The four trend display areas respectively display trends related to cerebral blood flow, cerebral oxygenation, electroencephalography (EEG), and cerebrovascular regulation. The cerebral blood flow related trends include MAP trends, CPP trends, and ICP trends, etc. The cerebral oxygenation related trends include rSO2-1 and rSO2-2 trends, etc. The EEG related trends include Fp1-T3 trends, Fp2-T4 trends, C3-O1 trends, and C4-O2 trends, etc. The cerebrovascular regulation related trends include EtCO2 trends, etc.

[0111] Optionally, the display method further includes: highlighting the closed area 3421 jointly enclosed by the cerebral oxygenation trend curve and the cerebral oxygenation threshold baseline. The 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 curve. It should also be noted that the trend type of the parameter trend curve can be distinguished based on monitoring data obtained through sensors or dedicated instruments; or it can be divided according to the monitoring site, etc. The types and number of parameter trend curves 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 parameter trend curve may only include the MAP trend and CPP trend in the cerebral blood flow related trends, or it may not include the cerebral blood flow related trends. In some other embodiments, the window interface 340 also includes a setting item 3413, which controls the display of the attribute setting interface in response to a trigger operation on the setting item 3413, and allows setting the trend type and number of the parameter trend curve through the attribute setting interface.

[0112] The display method further includes:

[0113] Each trend display area displays a first title corresponding to the trend type.

[0114] The first title displayed in the trend display area corresponding to the cerebral blood flow related trend is, for example, but not limited to, "cerebral blood flow," "cerebral blood flow related trend," etc. The first title displayed in the trend display area corresponding to the cerebral blood oxygenation related trend is, for example, but not limited to, "cerebral blood oxygen," "cerebral oxygen," "cerebral blood oxygen related trend," etc. The first title displayed in the trend display area corresponding to the electroencephalogram (EEG) related trend is, for example, but not limited to, "EEG," "EEG waves," "EEG related trend," etc. The first title displayed in the trend display area corresponding to the cerebrovascular regulation related trend is, for example, but not limited to, "cerebrovascular regulation," "cerebrovascular reactivity," "cerebrovascular regulation related trend," etc.

[0115] In this embodiment, a time control 3415 is displayed in the second display area 34. The step of displaying the parameter trend curve in the parameter trend curve area based on monitoring data within a preset second display time period specifically includes:

[0116] 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;

[0117] Based on the monitoring data within a preset second display time period, the at least one parameter trend curve is displayed in the parameter trend curve area.

[0118] The second display duration can be user-defined or set to the factory default value 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 parameter trend curve area 342, or outside the parameter trend curve area 342 in the second display area 34. In other embodiments, the time control 3415 can also be displayed within the attribute setting interface.

[0119] The step of displaying the at least one parameter trend curve in the parameter trend curve area based on monitoring data within a preset second display time period specifically includes:

[0120] Based on the monitoring data within the second display time period prior to the current moment, the parameter trend curve is displayed in the parameter trend curve area.

[0121] For example, assuming the second display time is 2 hours, the parameter trend curve displayed in area 342 is a compressed trend 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 parameter trend curve, enabling them to predict future measurement results.

[0122] The step of displaying the parameter trend curve in the parameter trend curve area based on monitoring data within the target display time period prior to the current time specifically includes:

[0123] A two-dimensional coordinate graph is constructed within the parameter trend curve area, wherein the horizontal axis of the two-dimensional coordinate graph is the time axis, and the vertical axis of the two-dimensional coordinate graph is the parameter axis. The time axis represents the recording time corresponding to each acquisition moment for all monitoring points within the target display time length, and the parameter axis represents the parameter values ​​corresponding to each acquisition moment for all monitoring points within the target display time length.

[0124] The recording time and the parameter values ​​are mapped onto the two-dimensional coordinate graph to display the parameter trend curve in the two-dimensional coordinate graph, wherein the parameter trend curve is arranged along a direction parallel to the time axis.

[0125] In this embodiment, in the two-dimensional coordinate graph, all parameter trend curves can share the same time axis. Different types of parameter trend curves correspond to different parameter axes, and the same type of parameter trend curves correspond to the same or different parameter axes. For example, the parameter axes corresponding to MAP trend and CPP trend are the same, while the parameter axis corresponding to ICP trend is different from the parameter axes corresponding to MAP trend and CPP trend.

[0126] 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.

[0127] In this embodiment of the application, the parameter trend curves are 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.

[0128] In some embodiments, the display method further includes:

[0129] When the preset evaluation parameter value is determined to be the real-time parameter value, the virtual human body model displays the real-time status of the monitored part in a graphical and dynamic way.

[0130] When the preset evaluation parameter value is determined to be the historical parameter value, the virtual human body model displays the historical state of the monitored part in a graphical static effect.

[0131] Specifically, when the preset evaluation parameter values ​​are determined to be the real-time parameter values ​​corresponding to each parameter, the virtual human body model can graphically display the monitored area to provide real-time feedback on the status of the patient's monitored area, thereby facilitating medical staff to observe and predict monitoring results. The dynamic effects can be, but are not limited to, color changes, thickness changes, highlighting, arrows, or 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 model will thicken to remind the user that the pressure of blood flow on the blood vessel walls has increased. Conversely, when the blood vessels in the virtual human body model become thinner, it indicates 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. 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.

[0132] When the preset evaluation parameter value is determined to be the historical parameter value, the virtual human body model 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 model corresponding to the historical monitoring points of interest. Thus, it is possible to understand the historical state of the monitored area based on the virtual human body model corresponding to the monitoring points of interest, thereby improving the efficiency of doctors in interpreting EEG.

[0133] Please refer to it again. Figure 5 In some embodiments, the second display area 34 may only include the parameter trend curve area 342 and the image display area 344. Specifically, the second display area 34 further includes an image display area 344 adjacent to the parameter trend curve area 342, and the display method further includes:

[0134] The virtual human body model is displayed within the image display area, and the preset evaluation parameter values ​​are displayed in the area outside the virtual human body model.

[0135] In this embodiment, the image display area 344 is located on the side of the parameter trend curve area 342 away from the first area 422, and the parameter trend curve area 342 and the image display area 344 are arranged side by side.

[0136] like Figure 4 As shown, in this embodiment, the second display area 34 further includes an evaluation parameter value area 346 adjacent to the parameter trend curve area 342 and the image display area 344, and the display method further includes:

[0137] The virtual human body model is displayed within the image display area;

[0138] The preset evaluation parameter values ​​are displayed in the evaluation parameter value area, wherein the preset evaluation parameter values ​​are preset real-time parameter values ​​or preset historical parameter values.

[0139] 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 parameter trend curve 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 parameter trend curve area 342, the image display area 344, and the evaluation parameter value area 346 is not specifically limited by the invention.

[0140] 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 parameter trend curve, 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 trend 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 by the brain oxygenation trend curve and the brain oxygenation threshold baseline. Specifically, it is the area value obtained by calculus of the area under the brain oxygenation trend curve (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.

[0141] For example, in some embodiments, the parameter type corresponding to the preset evaluation parameter value is the same as the parameter corresponding to the real-time parameter value. The parameter type corresponding to the cerebrovascular regulation-related trend is EtCO2 trend. The parameter corresponding to the cerebrovascular regulation-related evaluation parameter value includes EtCO2, and the parameter corresponding to the cerebrovascular regulation-related real-time parameter value also includes EtCO2.

[0142] For example, the parameter type corresponding to the preset evaluation parameter value is different from the parameter type corresponding to the real-time parameter value. Each EEG signal includes 10 values. The parameters corresponding to the preset evaluation parameter value can be two, namely EEG1-SR and EEG1-SEF, and the parameters corresponding to the real-time parameter value can be ten, namely EEG1-SR, EEG1-SEF, EEG1-MF, EEG1-PPF, EEG1-TP, EEG1-EMG, etc. In some embodiments, the parameters corresponding to the real-time parameter value can also be eight, that is, EEG1-SR and EEG1-SEF may not be included.

[0143] In some embodiments, displaying the virtual human body model within the image display area specifically includes:

[0144] The virtual human body model is displayed in the image display area, and specific evaluation parameter values ​​are displayed in the area outside the virtual human body model, wherein the preset evaluation parameter values ​​include at least the specific evaluation parameter values.

[0145] 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 site. In this embodiment, the specific assessment parameter values ​​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.

[0146] The specific evaluation parameter value is adjacent to the display position corresponding to the monitoring part, or the specific evaluation parameter value is connected to the monitoring part by a guide line.

[0147] The display method further includes:

[0148] When the value of the 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.

[0149] The display method further includes: determining that the value of the specific evaluation parameter does not meet the preset condition.

[0150] Specifically, determining that the value of the specific evaluation parameter does not meet the preset condition includes:

[0151] When the value of a specific evaluation parameter exceeds a preset normal threshold range, it is determined that the value of the specific evaluation parameter does not meet the preset condition; or,

[0152] When the value of a specific evaluation parameter shows a decreasing or increasing trend compared to the value of the parameter at the previous historical monitoring point, it is determined that the value of the specific evaluation parameter does not meet the preset condition; or,

[0153] When the change in the value of a specific evaluation parameter compared to the value of the parameter at the previous historical monitoring point meets a preset range, it is determined that the value of the specific evaluation parameter does not meet the preset condition.

[0154] like Figure 4 As shown, for example, when the value of rSO2-2 in the specific evaluation parameter is 60, the rSO2-2 value has not changed compared to the parameter value of the previous historical monitoring point. The specific evaluation 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 evaluation 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 evaluation 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 personnel can determine whether the specific evaluation parameter value exceeds the normal threshold range based on the display style of the specific evaluation parameter value, so that medical personnel can diagnose and infer the status of the patient's monitoring site.

[0155] The display method further includes:

[0156] When it is determined that the value of the specific evaluation parameter meets the preset condition, the target monitoring part associated with the value of the specific evaluation parameter that meets the preset condition is determined from the virtual human body model, and the target monitoring part is highlighted.

[0157] In this embodiment, the highlighting includes a combination of one or more of the following: highlighting, flashing, color changing, adding prompts, changing transparency, changing background color, changing font, and enlarging size. 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 detected rSO2 value indicates a decrease in blood oxygen saturation at the location where the rSO2 sensor is placed on the forehead. This 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 the target-specific evaluation parameter.

[0158] like Figure 5 and Figure 6 As shown, when the bispectral index-left (BIS-L), rSO2-R, ICP, CPP, MAP, and EEG-1 of the left brain are all abnormal, for example, 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 model is highlighted and labeled with BIS and rSO2, the blood vessels in the virtual human body model are thickened, and the corresponding position of the patient's back of the head in the virtual human body model is highlighted and labeled with EEG-1.

[0159] For example, when EEG values ​​are abnormal, such as abnormal EEG impedance, the EEG parameter values ​​fluctuate greatly and the EEG parameter trends are chaotic. This indicates that the EEG sensor connection is abnormal or unstable. Medical staff need to readjust the EEG sensor's fixed connection to restore the EEG parameter values ​​and trends to normal. Thus, by highlighting the target monitoring area, medical staff can quickly and intuitively understand the status of the patient's monitoring area from the virtual human body model, enabling appropriate manual intervention and improving their work efficiency.

[0160] The virtual human body model can rotate within a preset angle range to display the target monitoring area. Please refer to the following: Figure 5 and Figure 6 , Figure 6 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 5The 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 allow the monitoring device 100 to display the model at different angles, thereby enabling monitoring and management of different monitoring areas. For example, Figure 6 The displayed virtual human body model shows the monitoring areas corresponding to the back of the head. For example... Figure 6 As shown, when the monitored EEG-1 data meets the preset conditions, i.e. when the EEG-1 signal is abnormal, the monitoring site is graphically highlighted on the corresponding back of the head of the virtual human body model, so that medical staff can quickly and intuitively understand the status of the patient's monitoring site and / or the abnormal placement status of the EEG sensor from the virtual human body model, so as to carry out corresponding manual intervention, thereby improving the work efficiency of medical staff.

[0161] 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 quick rotation to the target monitoring area by the user. 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.

[0162] The display method further includes:

[0163] 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.

[0164] The third operation can be, but is not limited to, at least one of the following: 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 the 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 the second direction. The first direction and the second direction 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.

[0165] In some embodiments, the response to the third operation of the virtual human body model specifically includes: responding to the third operation of 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.

[0166] 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:

[0167] In response to a third operation on the virtual human body model, control the display of the rotation control icon;

[0168] In response to the fourth operation of the rotation control icon, the virtual human body model is rotated to display different monitoring parts in the virtual human body model.

[0169] Specifically, the response to the fourth operation of the rotation control icon, rotating the virtual human body model to display different monitoring parts in the virtual human body model, specifically includes:

[0170] In response to the fourth operation on the rotation control icon, obtain the fourth operation parameters corresponding to the fourth operation;

[0171] Based on the fourth operation parameter, determine the rotation angle for the virtual human body model;

[0172] The virtual human body model is rotated according to the rotation angle to display different monitoring parts in the virtual human body model.

[0173] The fourth operation can be, but is not limited to, at least one of clicking, swiping, flicking, and gesture operations.

[0174] In 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 areas within the virtual human body model, specifically including:

[0175] In response to a third operation on the virtual human body model, control the display of an input box for inputting the rotation angle;

[0176] In response to an input operation in 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.

[0177] The display method further includes:

[0178] When the preset evaluation parameter value is greater than the first threshold, a first identifier is displayed after the preset evaluation parameter value. The first identifier is used to indicate that the preset evaluation parameter value is higher than the normal value.

[0179] When the preset evaluation parameter value is less than the second threshold, a second identifier is displayed after the preset evaluation parameter value. The first identifier is used to indicate that the preset evaluation parameter value is lower than the normal value, wherein the first identifier is different from the second identifier.

[0180] When the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, a third identifier is displayed after the preset evaluation parameter value or no identifier is displayed. The third identifier is used to indicate that the preset evaluation parameter value is equal to the normal value, wherein the third identifier is different from the first identifier and the second identifier.

[0181] In this embodiment, when the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, no identifier is displayed after the preset evaluation parameter value. The first identifier is an upward arrow, and the second identifier is a downward arrow. In some embodiments, the third identifier can be a horizontal arrow. This allows users to quickly observe abnormal parameter values, facilitating doctors' diagnosis of the patient's condition.

[0182] In some embodiments, the area outside the parameter trend curve area 342 includes at least one numerical display area 3461, the at least one numerical display area corresponding to the at least one trend display area; the display method further includes:

[0183] Determine the parameter type corresponding to the parameter trend curve;

[0184] 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.

[0185] See again Figure 4In this embodiment, the 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. The cerebral blood flow related values ​​include MAP, CPP, and ICP values. The cerebral blood oxygenation related values ​​include rSO2-1 and rSO2-2 values. The EEG related values ​​include SEF, SR, MF, PPT, TP, and EMG values. The cerebrovascular regulation related values ​​include EtCO2 values. It should be noted that the types of trend parameter values ​​can be distinguished based on the monitoring data obtained through sensors or dedicated instruments; or they can be classified according to the monitoring site, etc. The types and number of trend parameter values ​​can be user-defined or factory default settings of the monitoring device 100; this invention does not impose specific limitations. For example, the preset evaluation parameter values ​​may only include MAP and CPP from the cerebral blood flow related values, or may not include the cerebral blood flow related values. In some other embodiments, the window interface 340 also includes a setting item 3413, which controls the display of the attribute setting interface in response to a trigger operation on the setting item 3413, and allows setting parameters such as the value type of the trend parameter through the attribute setting interface.

[0186] The display method further includes:

[0187] Each of the numerical display areas displays a second title corresponding to the parameter type, wherein the first title is the same as the second title.

[0188] The second title displayed in the numerical display area corresponding to the 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 the 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 the electroencephalogram (EEG) related values ​​is, for example, but not limited to, "EEG," "Electroencephalogram Waves," "Electroencephalogram Related Values," etc. The second title displayed in the numerical display area corresponding to the 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 title and the second title may also be different.

[0189] Optionally, the parameter types corresponding to the evaluation parameter values ​​displayed in the at least one numerical display area 3461 and the trend types corresponding to the parameter trends displayed in the at least one trend display area 3421 are arranged in the same order. In this way, setting the first and second titles from top to bottom according to the user's attention aligns with the user's usual observation habits, making it convenient for the user to view and greatly saving time for medical staff.

[0190] In some embodiments, the display method further includes:

[0191] Based on the trend type corresponding to the parameter trend curve, a virtual human body model associated with the trend type is displayed; wherein, the virtual human body model includes at least one of organ images, human system images, and full-body images, the organ images include at least one of human head images, human heart images, and human lung images; 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.

[0192] 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 this, 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.

[0193] 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.

[0194] In this embodiment, the virtual human body model is the human head image; the trend types corresponding to the parameter trend curves include cerebral blood flow related parameter trend curves, electroencephalogram (EEG) related parameter trend curves, cerebral oxygen saturation related parameter trend curves, and cerebral vascular reactivity related parameter trend curves; the parameter types corresponding to the parameter trend curves include cerebral blood flow related parameters, EEG related parameters, cerebral oxygen saturation related parameters, and cerebral vascular reactivity related parameters.

[0195] In some embodiments, the second display area 34 displays a setting item 3413, and the display method further includes:

[0196] Receive an edit request for the setting item and generate edit operation information corresponding to the edit request;

[0197] Based on the editing operation information, update the contents of the parameter trend curve, the virtual human body model, and / or the preset evaluation parameter values.

[0198] The display method further includes:

[0199] In response to a trigger operation on setting item 3413, the display of the attribute setting interface is controlled, wherein the attribute setting interface displays parameter trend curve options, virtual human body model options, and evaluation parameter options;

[0200] Receive editing requests for the parameter trend curve option, the virtual human body model option, and / or the evaluation parameter option, and generate editing operation information corresponding to the editing request;

[0201] Based on the editing operation information, update the contents of the parameter trend curve, the virtual human body model, and / or the preset evaluation parameter values.

[0202] The attribute setting interface displays options for parameter trend curves, virtual human models, and evaluation parameters. Users can select the categories corresponding to the parameter trend curves, virtual human models, and evaluation parameters of interest to improve the efficiency of interpreting brain protection-related monitoring data. This also allows for flexible adjustment of the information displayed on the monitoring interface 301, enhancing the user's interactive experience, facilitating user viewing, and significantly saving medical staff time in diagnosing the condition.

[0203] This invention provides a method for displaying monitoring data. Based on a preset first operation in response to 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 of ​​the monitoring interface. Thus, the monitoring interface can simultaneously display the real-time monitored data and the changing trends of some or all of the monitoring data of interest to medical personnel. It can also present the correlation changes between preset evaluation parameter values ​​corresponding to a certain 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 preset evaluation parameter values, 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.

[0204] Please see Figure 7 This is a flowchart illustrating a method for reviewing monitoring data provided in one embodiment of this application. Figure 7 As shown, the data review method is applied to the aforementioned medical central station system 1000. Specifically, the 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 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 data display method includes the following steps.

[0205] Step S701: A monitoring interface is displayed.

[0206] For specific details, please refer to the corresponding information. Figure 2 The method steps S201 in the embodiment will not be described again here.

[0207] Step S703: Obtain monitoring data, wherein the monitoring data includes parameter values ​​of multiple parameters, including real-time parameter values ​​and historical parameter values.

[0208] For specific details, please refer to the corresponding information. Figure 2 The method step S203 in the embodiment will not be described again here.

[0209] Step S705: Based on the monitoring data, display real-time monitoring images and monitoring evaluation images on the monitoring interface. The real-time monitoring images are used to present the real-time parameter values ​​and / or real-time parameter waveforms. The monitoring evaluation images are used to present the parameter trend curves of the various parameters and a virtual human body model. Optionally, they are also used to present the preset evaluation parameter values ​​of the various parameters. The virtual human body model is used to graphically display the monitoring parts based on the parameter values ​​or parameter trend curves of the various parameters.

[0210] For specific details, please refer to the corresponding information. Figure 2 The method step S205 in the embodiment will not be described again here.

[0211] Step S707: In response to a review operation for any target monitoring point on the parameter trend curve, determine the target parameter value corresponding to the target monitoring point.

[0212] In some embodiments, a trend chart control 3417 is displayed in the parameter trend curve area 342. The response to the review operation of the target monitoring point on the parameter trend curve, determining the target parameter value corresponding to the target monitoring point, specifically includes:

[0213] In response to a review operation targeting a monitoring point on the parameter trend curve, the trend graph control is displayed at the location of the target monitoring point.

[0214] Obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph;

[0215] Based on the selected time, determine the target parameter value corresponding to the parameter trend curve at the selected time.

[0216] The trend chart control 3417 is located within the two-dimensional coordinate graph. The trend chart control 3417 includes, but is not limited to, at least one of an active cursor and an active marker. In this embodiment, the trend chart control 3417 is the active marker, and the active marker is perpendicular to the time axis. The review operation may be, for example, a tap operation, a long press operation, a swipe operation, etc.

[0217] In some embodiments, the review method further includes:

[0218] In response to a review operation for any historical monitoring point on the parameter trend curve, a pop-up display of the trend chart control will appear.

[0219] In response to a movement operation on the trend chart control, the trend chart control is moved to the position corresponding to the target monitoring point on the parameter trend curve;

[0220] Based on the current position of the trend chart control, obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph;

[0221] Based on the selected time, determine the target parameter value corresponding to the parameter trend curve at the selected time.

[0222] Thus, after bringing up the trend chart control 3417, the user can continue to operate the trend chart control 3417 to fine-tune it so that it moves to the position corresponding to the target monitoring point on the parameter trend curve. This allows medical staff to flexibly control the trend chart control 3417 and review multiple sets of monitoring data corresponding to any target monitoring point on the parameter trend curve. 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.

[0223] In other embodiments, the response involves a review operation on the target monitoring point on the parameter trend curve to determine the target parameter value corresponding to the target monitoring point, specifically including:

[0224] The trend chart control is moved from a first position on the two-dimensional coordinate graph to a second position on the two-dimensional coordinate graph, wherein 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 is the position corresponding to the target monitoring point;

[0225] Obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph;

[0226] Based on the selected time, determine the target parameter value corresponding to the parameter trend curve at the selected time.

[0227] In this embodiment, before responding to a review operation targeting the monitoring point on the parameter trend curve, the trend graph 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 trend graph control 3417 on the two-dimensional coordinate graph is the time point corresponding to the real-time parameter value. As time progresses, the parameter trend curve shifts from right to left so that the parameter trend curve displays the trend corresponding to the preset second display time length within the parameter trend curve area 342. For example, when the preset second display time length is 2 hours, the parameter trend curve for the 2 hours prior to the current time is displayed in the parameter trend curve area 342.

[0228] In some embodiments, before moving the trend chart control from a first position on the two-dimensional coordinate graph to a second position on the two-dimensional coordinate graph, the review method further includes:

[0229] In response to a preset operation on the two-dimensional coordinate graph, the trend chart control is displayed at a first position on the two-dimensional coordinate graph.

[0230] The preset operation is, for example, but not limited to, at least one of single click, long press, double click, swipe, flick, preset swipe trajectory, and multi-touch. The preset operation refers to an operation input within a preset area of ​​the two-dimensional coordinate graph; or, an operation whose operation 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 the response to the review operation of the target monitoring point on the parameter trend curve determines the target parameter value corresponding to the target monitoring point, the trend graph control 3417 is hidden from display in the two-dimensional coordinate graph, making the display content of the monitoring interface more concise.

[0231] In some embodiments, the trend chart control 3417 can always be displayed within the two-dimensional coordinate graph, that is, the method step of displaying the trend chart control at a first position on the two-dimensional coordinate graph in response to a preset operation on the two-dimensional coordinate graph can be omitted.

[0232] Please refer to the following: Figure 8 and Figure 9 , Figure 8 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 review operation for any target monitoring point on the parameter trend curve. Figure 9 What is shown is Figure 8 An enlarged view of the window interface in the monitoring interface. (See attached image.) Figure 8 and Figure 9 As shown, the trend graph control 3417 moves from the first position to the second position, that is, the trend graph control 3417 moves to the position corresponding to the target monitoring point on the parameter trend curve. 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 body model, 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 prediction of the patient's monitoring area status.

[0233] In this embodiment, the review method further includes:

[0234] When the trend chart control is detected to be in the first position, the latest parameter value corresponding to the latest monitoring point on the parameter trend curve is displayed in the area outside the parameter trend curve area.

[0235] When the trend graph control is detected to be in the first position, the latest parameter value corresponding to the latest monitoring point on the parameter trend curve is displayed in the area outside the parameter trend curve area. That is, the evaluation parameter value displayed in the area outside the parameter trend curve area is the latest parameter value. In some embodiments, the latest parameter value can be a real-time parameter value. In this way, 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.

[0236] In some embodiments, the review method further includes:

[0237] When the trend chart control is detected to have moved to the third position on the two-dimensional coordinate graph, a prompt message is output, wherein the third position is the position corresponding to the earliest monitoring point within the preset second display time period; or

[0238] When the trend chart control is detected to have moved to the third position, the historical parameter trend curve outside the preset second display time length is output, and some or all of the current parameter trend curve within the preset second display time length are covered; or

[0239] When the trend chart control is detected to have moved to the third position, the trend chart control is controlled to return to the first position.

[0240] Understandably, when the trend chart control 3417 moves to the leftmost side of the two-dimensional coordinate graph, it indicates that the trend chart control 3417 has moved to the third position, that is, the trend chart 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 trend chart control 3417 has moved to the third position, it controls the output of a prompt message. For example, the prompt message can be a reminder to the user to reset the preset second display time length in order to view more compression trend 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.

[0241] In another embodiment, when the monitoring device 100 detects that the trend graph control 3417 has moved to the third position, it controls the output of historical parameter trend curves outside the preset second display time length, and covers part or all of the current parameter trend curves within the preset second display time length. In this way, the user can directly view the historical parameter trend curves outside the current parameter trend curves within the preset second display time length, which is simple to operate and improves the efficiency of medical staff in interpreting the current and historical parameter trend curves.

[0242] In another embodiment, when the monitoring device 100 detects that the trend graph control 3417 has moved to the third position, it controls the trend graph control to return to the first position. This facilitates the user's review of any target monitoring point on the parameter trend curve and avoids lag in the monitoring interface 301 caused by the trend graph control 3417 remaining in the third position for an extended period, thus improving the user experience.

[0243] Step S709: Update the display of the virtual human body model and the optional preset evaluation parameter values ​​according to the target parameter values.

[0244] The step of updating and displaying the virtual human model and the optional preset evaluation parameter values ​​based on the target parameter values ​​specifically includes:

[0245] 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;

[0246] Optionally, the target parameter value can be used as the preset evaluation parameter value, and the preset evaluation parameter value can be displayed in an area outside the parameter trend curve area.

[0247] 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 area outside the parameter trend curve 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.

[0248] Since the value of the target parameter rSO2-2 shows a decreasing trend compared to the parameter value of 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 in the virtual human body model is highlighted, 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 the 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.

[0249] This invention provides a method for reviewing monitoring data, applied to a medical central station system or a monitoring device, wherein the medical central station system or the monitoring device 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 multiple parameters, including 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 presents the real-time parameter values ​​and real-time parameter waveforms, and the monitoring evaluation image presents parameter trend curves of the multiple parameters, a virtual human model, and preset evaluation parameter values; the display time of the parameter trend curve is longer than the display time of the real-time parameter waveform; the virtual human model graphically displays the monitored body part based on the preset evaluation parameter values; the preset evaluation parameter values ​​are either the real-time parameter values ​​or the historical parameter values; responding to a review operation for any target monitoring point on the parameter trend curve, determining the target parameter value corresponding to the target monitoring point; and updating the display of the virtual human model and the optional preset evaluation parameter values ​​based on the target parameter values.

[0250] 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 parameter trend curve. 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 device can graphically update and display the monitoring site and selectable 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.

[0251] 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.

[0252] 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.

[0253] 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.

[0254] 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 programs.

[0255] 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 for monitoring a patient's physiological state, characterized in that, Includes sensors, displays, and processors. The sensor is used to collect monitoring data of the patient, and the monitoring data includes the parameter values ​​of multiple parameters, including real-time parameter values ​​and historical parameter values. The display is used to show a monitoring interface; The processor is used for: The monitoring data is acquired from the sensor; Based on the monitoring data, real-time monitoring images and monitoring evaluation images are displayed on the monitoring interface. The real-time monitoring images are used to present the real-time parameter values ​​and / or real-time parameter waveforms. The monitoring evaluation images are used to present the parameter trend curves of at least some of the multiple parameters, a virtual human body model, and preset evaluation parameter values. The virtual human body model is used to graphically display the patient's monitoring sites based on the parameter values ​​or parameter trend curves of at least some of the multiple parameters. The monitoring interface includes a first display area and a second display area, the second display area including an image display area. The processor displays a real-time monitoring image and a monitoring evaluation image on the monitoring interface based on the monitoring data, including: responding to a preset first operation on the monitoring interface; displaying the real-time monitoring image in the first display area of ​​the monitoring interface based on the monitoring data; and displaying the monitoring evaluation image in the second display area of ​​the monitoring interface. The preset evaluation parameter values ​​include at least specific evaluation parameter values. The virtual human model is displayed in the image display area within the second display area, and the specific evaluation parameter values ​​are displayed in the area outside the virtual human model within the image display area. The specific evaluation parameter values ​​refer to monitoring data used to evaluate the state of the monitored site on the patient.

2. The monitoring device as described in claim 1, characterized in that, The response is a preset first operation of the monitoring interface, which involves displaying the real-time monitoring image in a first display area of ​​the monitoring interface based on the monitoring data, and displaying the monitoring evaluation image in a second display area of ​​the monitoring interface, including: In response to a preset first operation on the monitoring interface, based on the monitoring data, the system controls the simultaneous display of the real-time monitoring image and the monitoring evaluation image, displaying the real-time monitoring image in the first display area of ​​the monitoring interface and the monitoring evaluation image in the second display area of ​​the monitoring interface.

3. The monitoring device as described in claim 1, characterized in that, The response is a preset first operation of the monitoring interface, which involves displaying the real-time monitoring image in a first display area of ​​the monitoring interface based on the monitoring data, and displaying the monitoring evaluation image in a second display area of ​​the monitoring interface, including: Based on the monitoring data, the real-time monitoring image is displayed on the monitoring interface; In response to a preset first operation on the monitoring interface, the display size of the real-time monitoring image is reduced so that the reduced real-time monitoring image is displayed in a first display area of ​​the monitoring interface, and the monitoring evaluation image is displayed in a second display area of ​​the monitoring interface, wherein the real-time monitoring image and the monitoring evaluation image do not overlap.

4. The monitoring device as described in claim 1, characterized in that, The response is a preset first operation of the monitoring interface, which involves displaying the real-time monitoring image in a first display area of ​​the monitoring interface based on the monitoring data, and displaying the monitoring evaluation image in a second display area of ​​the monitoring interface, including: 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 according to the monitoring data, 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.

5. 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 parameter trend curve, the target parameter value corresponding to the target monitoring point is determined. Based on the target parameter values, update the display of the virtual human body model and the preset evaluation parameter values.

6. The monitoring device as described in claim 1, characterized in that, The processor is also used for: When the preset evaluation parameter value is determined to be the real-time parameter value, the virtual human body model is controlled to display the real-time status of the monitored part in a graphical and dynamic manner. When the preset evaluation parameter value is determined to be the historical parameter value, the virtual human body model is controlled to display the historical state of the monitored part in a graphical static effect.

7. 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 monitoring image is displayed in the first display area of ​​the monitoring interface; Based on the monitoring data within a preset second display time period, the monitoring evaluation image is displayed in the second display area of ​​the monitoring interface, wherein the real-time monitoring image and the monitoring evaluation image do not overlap, or partially overlap, or completely overlap.

8. The monitoring device as described in claim 7, characterized in that, The second display area includes a parameter trend curve area. The processor displays the monitoring and evaluation image in the second display area of ​​the monitoring interface based on monitoring data within a preset second display time period. Specifically, this includes: Based on the monitoring data within the preset second display time period, the parameter trend curve is displayed in the parameter trend curve area, and the virtual human model and the preset evaluation parameter values ​​are displayed in the area outside the parameter trend curve area.

9. The monitoring device as described in claim 8, characterized in that, The processor displays the parameter trend curve in the parameter trend curve area based on the monitoring data within a preset second display time period, specifically including: A two-dimensional coordinate graph is constructed within the parameter trend curve area, wherein the horizontal axis of the two-dimensional coordinate graph is the time axis, and the vertical axis of the two-dimensional coordinate graph is the parameter axis. The time axis represents the recording time of all monitoring points at each acquisition time within the preset second display time length, and the parameter axis represents the parameter values ​​of all monitoring points at each acquisition time within the preset second display time length. The recording time and the parameter values ​​are mapped onto the two-dimensional coordinate graph to display the parameter trend curve in the two-dimensional coordinate graph, wherein the parameter trend curve is arranged along a direction parallel to the time axis.

10. The monitoring device as described in claim 9, characterized in that, The two-dimensional coordinate graph includes a trend graph control. The processor responds to a review operation on the target monitoring point on the parameter trend curve to determine the target parameter value corresponding to the target monitoring point, specifically including: In response to a review operation targeting a monitoring point on the parameter trend curve, the trend graph control is displayed at the location of the target monitoring point. Obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph; Based on the selected time, determine the target parameter value corresponding to the parameter trend curve at the selected time; or The trend chart control is moved from a first position on the two-dimensional coordinate graph to a second position on the two-dimensional coordinate graph, wherein 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 is the position corresponding to the target monitoring point; Obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph after the movement; Based on the selected time, determine the target parameter value corresponding to the parameter trend curve at the selected time.

11. The monitoring device as described in claim 10, characterized in that, Before moving the trend chart control from the first position on the two-dimensional coordinate graph to the second position on the two-dimensional coordinate graph, the method further includes: The processor is configured to, in response to a preset operation on the two-dimensional coordinate graph, display the trend graph control at a first position on the two-dimensional coordinate graph.

12. The monitoring device as described in claim 11, characterized in that, The processor is also used for: When the trend chart control is detected to be in the first position, the latest parameter value corresponding to the latest monitoring point on the parameter trend curve is displayed in the area outside the parameter trend curve area.

13. The monitoring device as described in claim 11, characterized in that, The processor is also used for: When the trend chart control is detected to have moved to the third position on the two-dimensional coordinate graph, a prompt message is output; or When the trend chart control is detected to have moved to the third position, the historical parameter trend curve outside the preset second display time length is output, and some or all of the current parameter trend curve within the preset second display time length are covered. or When the trend chart control is detected to have moved to the third position, the trend chart control is controlled to return to the first position. The third position is the position corresponding to the earliest monitoring point within the preset second display time length.

14. The monitoring device as described in claim 10, characterized in that, The trend chart control includes at least one of an active cursor and an active marker, wherein the active marker is perpendicular to the time axis.

15. The monitoring device as described in claim 7, characterized in that, The second display area displays a time control. The processor displays the parameter trend curve in the parameter trend curve area based on the monitoring data within a preset second display time length, specifically including: 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 preset second display time length. Based on the monitoring data within the preset second display time period, the parameter trend curve is displayed in the parameter trend curve area.

16. The monitoring device as described in claim 15, characterized in that, The processor displays the parameter trend curve in the parameter trend curve area based on the monitoring data within a preset second display time period, specifically including: Based on the monitoring data within the second display time period prior to the current moment, the parameter trend curve is displayed in the parameter trend curve area.

17. The monitoring device as described in claim 5, characterized in that, The processor updates the displayed virtual human model and the preset evaluation parameter values ​​based on the target parameter values, specifically including: 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; The target parameter value is used as the preset evaluation parameter value, and the preset evaluation parameter value is displayed in the area outside the parameter trend curve area.

18. The monitoring device as described in claim 8, characterized in that, The second display area also includes an image display area adjacent to the parameter trend curve area. The processor displays the virtual human model and the preset evaluation parameter values ​​in the area outside the parameter trend curve area, specifically including: The virtual human body model is displayed within the image display area, and the preset evaluation parameter values ​​are displayed in the area outside the virtual human body model.

19. The monitoring device as described in claim 8, characterized in that, The second display area further includes an image display area adjacent to the parameter trend curve area and an evaluation parameter value area adjacent to the parameter trend curve area and the image display area. The processor displays the virtual human model and the preset evaluation parameter values ​​in the area outside the parameter trend curve area, including: The virtual human body model is displayed within the image display area; The preset evaluation parameter values ​​are displayed in the evaluation parameter value area.

20. The monitoring device as described in claim 1, characterized in that, The processor is also used for: When it is determined that the value of the specific evaluation parameter meets the preset conditions, the value of the specific evaluation parameter is displayed in a first preset display style; When it is determined that 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.

21. The monitoring device as described in claim 1, characterized in that, The processor is also used for: When it is determined that 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 in the virtual human body model, and the target monitoring part is highlighted.

22. The monitoring device as described in claim 21, characterized in that, The virtual human body model can rotate within a preset angle range to display the target monitoring area.

23. The monitoring device as described in claim 1, characterized in that, The processor is also used for: In response to a touch 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.

24. The monitoring device as described in claim 1, characterized in that, The processor is also used for: When the preset evaluation parameter value is greater than the first threshold, a first identifier is displayed after the preset evaluation parameter value. The first identifier is used to indicate that the preset evaluation parameter value is higher than the normal value. When the preset evaluation parameter value is less than the second threshold, a second identifier is displayed after the preset evaluation parameter value. The first identifier is used to indicate that the preset evaluation parameter value is lower than the normal value, wherein the first identifier is different from the second identifier. When the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, a third identifier is displayed after the preset evaluation parameter value or no identifier is displayed. The third identifier is used to indicate that the preset evaluation parameter value is equal to the normal value, wherein the third identifier is different from the first identifier and the second identifier.

25. The monitoring device as described in claim 8, characterized in that, The parameter trend curve area includes at least one trend display area, and the processor is further configured to: Determine the trend type corresponding to the parameter trend curve; Displaying parameter trend curves of the same trend type in the same trend display area, and displaying parameter trend curves of different trend types in different trend display areas.

26. The monitoring device as described in claim 25, characterized in that, The processor is also used for: Each trend display area displays a first title corresponding to the trend type.

27. The monitoring device as described in claim 26, characterized in that, The area outside the parameter trend curve area includes at least one numerical display area, the at least one numerical display area corresponding to the at least one trend display area; the processor is further configured to: Determine the parameter type corresponding to the parameter trend curve; 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.

28. The monitoring device as described in claim 27, characterized in that, The processor is also used for: Each of the numerical display areas displays a second title corresponding to the parameter type, wherein the first title is the same as the second title.

29. The monitoring device as described in claim 27, characterized in that, The virtual human body model is an image of a human head; the trend types corresponding to the parameter trend curves include trend curves of cerebral blood flow related parameters, trend curves of electroencephalogram (EEG) related parameters, trend curves of cerebral oxygen saturation related parameters, and trend curves of cerebral vascular reactivity related parameters; the parameter types corresponding to the parameter trend curves include parameters related to cerebral blood flow, parameters related to EEG, parameters related to cerebral oxygen saturation, and parameters related to cerebral vascular reactivity.

30. The monitoring device as described in claim 7, characterized in that, The first display area includes a first area and a second area arranged side by side, the first area being adjacent to the parameter trend curve area; the step of displaying a real-time monitoring image in the first display area of ​​the monitoring interface based on monitoring data within a preset first display time period specifically includes: The processor is used to display the real-time parameter waveform in the first area and the real-time parameter value in the second area based on the monitoring data within the preset first display time length.

31. The monitoring device as described in claim 1, characterized in that, The processor is also used for: Based on the trend type corresponding to the parameter trend curve, a virtual human body model associated with the trend type is displayed; wherein, the virtual human body model includes at least one of organ images, human system images, and full-body human images.

32. The monitoring device as described in claim 1, characterized in that, The second display area displays settings items; the processor is also used for: 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 parameter trend curve, the virtual human body model, and / or the preset evaluation parameter values.

33. The monitoring device as described in claim 1, characterized in that, The second display area displays settings items; the processor is also used for: In response to a trigger operation for the setting item, the display of the attribute setting interface is controlled, wherein the attribute setting interface displays parameter trend curve options, virtual human body model options, and evaluation parameter options; Receive editing requests for the parameter trend curve option, the virtual human body model option, and / or the evaluation parameter option, and generate editing operation information corresponding to the editing request; Based on the editing operation information, update the contents of the parameter trend curve, the virtual human body model, and / or the preset evaluation parameter values.

34. A method for displaying monitoring data, applied to monitoring equipment in a medical central station system, the display method comprising the following steps: Display a monitoring interface; Acquire monitoring data, including The monitoring data includes the values ​​of various parameters, including real-time parameter values ​​and historical parameter values. Based on the monitoring data, real-time monitoring images and monitoring evaluation images are displayed on the monitoring interface. The real-time monitoring images are used to present the real-time parameter values ​​and / or real-time parameter waveforms. The monitoring evaluation images are used to present the parameter trend curves of at least some of the multiple parameters, a virtual human body model, and preset evaluation parameter values. The virtual human body model is used to graphically display the patient's monitoring sites based on the parameter values ​​or parameter trend curves of the multiple parameters. The monitoring interface includes a first display area and a second display area, the second display area including an image display area; the step of displaying real-time monitoring images and monitoring evaluation images on the monitoring interface according to the monitoring data includes: responding to a preset first operation for the monitoring interface, displaying the real-time monitoring image in the first display area of ​​the monitoring interface according to the monitoring data, and displaying the monitoring evaluation image in the second display area of ​​the monitoring interface, wherein the preset evaluation parameter values ​​include at least specific evaluation parameter values, the virtual human body model is displayed in the image display area within the second display area, and the specific evaluation parameter values ​​are displayed in the area outside the virtual human body model within the image display area, the specific evaluation parameter values ​​referring to monitoring data used to evaluate the state of the monitored site of the patient.

35. The display method as described in claim 34, characterized in that, The step of displaying real-time monitoring images and monitoring evaluation images on the monitoring interface of the monitoring device based on the monitoring data specifically includes: In response to a preset first operation on the monitoring interface, based on the monitoring data, control the simultaneous display of the real-time monitoring image and the monitoring evaluation image; or, Based on the monitoring data, the real-time monitoring image is displayed on the monitoring interface; In response to a preset first operation on the monitoring interface, the monitoring and evaluation image is controlled to be displayed.

36. The display method as described in claim 34, characterized in that, Also includes: In response to a review operation for any target monitoring point on the parameter trend curve, the target parameter value corresponding to the target monitoring point is determined. Based on the target parameter values, update the display of the virtual human body model and the preset evaluation parameter values.

37. The display method as described in claim 34, characterized in that, Also includes: When the preset evaluation parameter value is determined to be the real-time parameter value, the virtual human body model is controlled to display the real-time status of the monitored part in a graphical and dynamic manner. When the preset evaluation parameter value is determined to be the historical parameter value, the virtual human body model is controlled to display the historical state of the monitored part in a graphical static effect.

38. The display method as described in claim 34, characterized in that, Also includes: Based on the monitoring data within a preset first display time period, the real-time monitoring image is displayed in the first display area of ​​the monitoring interface; Based on the monitoring data within a preset second display time period, the monitoring evaluation image is displayed in the second display area of ​​the monitoring interface, wherein the real-time monitoring image and the monitoring evaluation image do not overlap, or partially overlap, or completely overlap.

39. The display method as described in claim 38, characterized in that, The second display area includes a parameter trend curve area. The step of displaying the monitoring and evaluation image in the second display area of ​​the monitoring interface based on monitoring data within a preset second display time period specifically includes: Based on the monitoring data within the preset second display time period, the parameter trend curve is displayed in the parameter trend curve area, and the virtual human model and the preset evaluation parameter values ​​are displayed in the area outside the parameter trend curve area.

40. The display method as described in claim 39, characterized in that, The step of displaying the parameter trend curve in the parameter trend curve area based on monitoring data within a preset second display time period specifically includes: A two-dimensional coordinate graph is constructed within the parameter trend curve area, wherein the horizontal axis of the two-dimensional coordinate graph is the time axis, and the vertical axis of the two-dimensional coordinate graph is the parameter axis. The time axis represents the recording time of all monitoring points at each acquisition time within the preset second display time length, and the parameter axis represents the parameter values ​​of all monitoring points at each acquisition time within the preset second display time length. The recording time and the parameter values ​​are mapped onto the two-dimensional coordinate graph to display the parameter trend curve in the two-dimensional coordinate graph, wherein the parameter trend curve is arranged along a direction parallel to the time axis.

41. The display method as described in claim 40, characterized in that, The two-dimensional coordinate graph includes a trend graph control. The response is a review operation on the target monitoring point on the parameter trend curve, determining the target parameter value corresponding to the target monitoring point, specifically including: In response to a review operation targeting a monitoring point on the parameter trend curve, the trend graph control is displayed at the location of the target monitoring point. Obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph; Based on the selected time, determine the target parameter value of the parameter trend curve corresponding to the selected time; or The trend chart control is moved from a first position on the two-dimensional coordinate graph to a second position on the two-dimensional coordinate graph, wherein 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 is the position corresponding to the target monitoring point; Obtain the selected time corresponding to the trend chart control on the two-dimensional coordinate graph; Based on the selected time, determine the target parameter value corresponding to the parameter trend curve at the selected time.

42. The display method as described in claim 41, characterized in that, Before moving the trend chart control from a first position on the two-dimensional coordinate graph to a second position on the two-dimensional coordinate graph, the method further includes: In response to a preset operation on the two-dimensional coordinate graph, the trend chart control is displayed at a first position on the two-dimensional coordinate graph.

43. The display method as described in claim 42, characterized in that, The method further includes: When the trend chart control is detected to be in the first position, the latest parameter value corresponding to the latest monitoring point on the parameter trend curve is displayed in the area outside the parameter trend curve area.

44. The display method as described in claim 42, characterized in that, The method further includes: When the trend chart control is detected to have moved to the third position on the two-dimensional coordinate graph, a prompt message is output, wherein the third position is the position corresponding to the earliest monitoring point within the preset second display time period; or When the trend chart control is detected to have moved to the third position, the historical parameter trend curve outside the preset second display time length is output, and some or all of the current parameter trend curve within the preset second display time length are covered; or When the trend chart control is detected to have moved to the third position, the trend chart control is controlled to return to the first position.

45. The display method as described in claim 42, characterized in that, The trend chart control includes at least one of an active cursor and an active marker, wherein the active marker is perpendicular to the time axis.

46. ​​The display method as described in claim 39, characterized in that, The second display area displays a time control, and the step of displaying the parameter trend curve in the parameter trend curve area based on monitoring data within a preset second display time length specifically includes: 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 preset second display time length. Based on the monitoring data within the preset second display time period, the parameter trend curve is displayed in the parameter trend curve area.

47. The display method as described in claim 46, characterized in that, The step of displaying the parameter trend curve in the parameter trend curve area based on monitoring data within a preset second display time period specifically includes: Based on the monitoring data within the second display time period prior to the current moment, the parameter trend curve is displayed in the parameter trend curve area.

48. The display method as described in claim 36, characterized in that, The step of updating and displaying the virtual human body model and the preset evaluation parameter values ​​based on the target parameter values ​​specifically includes: 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; The target parameter value is used as the preset evaluation parameter value, and the preset evaluation parameter value is displayed in the area outside the parameter trend curve area.

49. The display method as described in claim 39, characterized in that, The second display area also includes an image display area adjacent to the parameter trend curve area. The area outside the parameter trend curve area displays the virtual human model and the preset evaluation parameter values, specifically including: The virtual human body model is displayed within the image display area, and the preset evaluation parameter values ​​are displayed in the area outside the virtual human body model.

50. The display method as described in claim 39, characterized in that, The second display area further includes an image display area adjacent to the parameter trend curve area and an evaluation parameter value area adjacent to the parameter trend curve area and the image display area. Displaying the virtual human model and the preset evaluation parameter values ​​in the area outside the parameter trend curve area further includes: The virtual human body model is displayed within the image display area; The preset evaluation parameter values ​​are displayed in the evaluation parameter value area.

51. The display method as described in claim 34, characterized in that, Also includes: When it is determined that the value of the specific evaluation parameter meets the preset conditions, the value of the specific evaluation parameter is displayed in a first preset display style; When it is determined that 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.

52. The display method as described in claim 34, characterized in that, Also includes: When it is determined that 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 in the virtual human body model, and the target monitoring part is highlighted.

53. The display method as described in claim 52, characterized in that, The virtual human body model can rotate within a preset angle range to display the target monitoring area.

54. The display method as described in claim 34, characterized in that, Also includes: In response to a touch 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.

55. The display method as described in claim 34, characterized in that, Also includes: When the preset evaluation parameter value is greater than the first threshold, a first identifier is displayed after the preset evaluation parameter value. The first identifier is used to indicate that the preset evaluation parameter value is higher than the normal value. When the preset evaluation parameter value is less than the second threshold, a second identifier is displayed after the preset evaluation parameter value. The first identifier is used to indicate that the preset evaluation parameter value is lower than the normal value, wherein the first identifier is different from the second identifier. When the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, a third identifier is displayed after the preset evaluation parameter value or no identifier is displayed. The third identifier is used to indicate that the preset evaluation parameter value is equal to the normal value, wherein the third identifier is different from the first identifier and the second identifier.

56. The display method as described in claim 39, characterized in that, The parameter trend curve area includes at least one trend display area, and the method further includes: Determine the trend type corresponding to the parameter trend curve; Displaying parameter trend curves of the same trend type in the same trend display area, and displaying parameter trend curves of different trend types in different trend display areas.

57. The display method as described in claim 56, characterized in that, The method further includes: Each trend display area displays a first title corresponding to the trend type.

58. The display method as described in claim 57, characterized in that, The area outside the parameter trend curve area includes at least one numerical display area, which corresponds to the at least one trend display area; the method further includes: Determine the parameter type corresponding to the parameter trend curve; 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.

59. The display method as described in claim 58, characterized in that, Also includes: Each of the numerical display areas displays a second title corresponding to the parameter type, wherein the first title is the same as the second title.

60. The display method as described in claim 58, characterized in that, The virtual human body model is an image of a human head; the trend types corresponding to the parameter trend curves include trend curves of cerebral blood flow related parameters, trend curves of electroencephalogram (EEG) related parameters, trend curves of cerebral oxygen saturation related parameters, and trend curves of cerebral vascular reactivity related parameters; the parameter types corresponding to the parameter trend curves include parameters related to cerebral blood flow, parameters related to EEG, parameters related to cerebral oxygen saturation, and parameters related to cerebral vascular reactivity.

61. The display method as described in claim 39, characterized in that, The first display area includes a first area and a second area arranged side by side, the first area being adjacent to the parameter trend curve area; the step of displaying a real-time monitoring image in the first display area of ​​the monitoring interface based on monitoring data within a preset first display time period specifically includes: Based on the monitoring data within the preset first display time period, the real-time parameter waveform is displayed in the first area, and the real-time parameter value is displayed in the second area.

62. The display method as described in claim 34, characterized in that, Also includes: Based on the trend type corresponding to the parameter trend curve, a virtual human body model associated with the trend type is displayed; wherein, the virtual human body model includes at least one of organ images, human system images, and full-body human images.

63. The display method as described in claim 34, characterized in that, The second display area displays settings; the method also includes 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 parameter trend curve, the virtual human body model, and / or the preset evaluation parameter values.

64. The display method as described in claim 34, characterized in that, The second display area displays settings; the method further includes: In response to a trigger operation for the setting item, the display of the attribute setting interface is controlled, wherein the attribute setting interface displays parameter trend curve options, virtual human body model options, and evaluation parameter options; Receive editing requests for the parameter trend curve option, the virtual human body model option, and / or the evaluation parameter option, and generate editing operation information corresponding to the editing request; Based on the editing operation information, update the contents of the parameter trend curve, the virtual human body model, and / or the preset evaluation parameter values.

65. A medical central station system, characterized in that, It includes a central station device, which is communicatively connected to a monitoring device. The central station device acquires monitoring data from the monitoring device. The central station device includes a display, a processor, and a memory. The memory is used to store programs; The display is used to show a monitoring interface; The processor, for executing the program in the memory, is configured to perform the method for displaying monitoring data as described in any one of claims 34-64.

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