Monitoring equipment, monitoring information display method and device

Abstract

A monitoring information display method is provided, comprising the steps of obtaining measurement data of at least one physiological sign parameter of a monitored object, wherein the measurement data of the physiological sign parameter is obtained from the monitored object through at least one physiological sign sensor; obtaining data of the at least one physiological sign parameter within a preset time length; performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining the distribution statistics result corresponding to the parameter value partition; the parameter value partition represents the numerical interval of the physiological sign parameter; providing a monitoring interface, and generating a measurement data display area (201) and a distribution statistics special display area (202) on the monitoring interface; displaying the measurement data of at least one physiological sign parameter in the measurement data display area (201) of the monitoring interface, and displaying the distribution statistics result in the distribution statistics special display area (202) of the monitoring interface.

Description

Technical Field

[0001] The present application relates to the technical field of monitoring equipment, and more specifically, to monitoring equipment, a monitoring information display method and device. Background Art

[0002] In the medical field, it is necessary to monitor the patient's physical condition. Specifically, the monitoring equipment can monitor the patient's physiological sign parameters through various measurement modules. These physiological sign parameters need to be provided to medical staff so that they can judge whether the patient's body is in a normal or abnormal state based on the parameter values. If an abnormality is found, the medical staff needs to take corresponding rescue measures in time to restore the body to normal.

[0003] Therefore, a technical solution is needed to display the monitored physiological sign parameters so as to serve as a basis for medical staff to judge the patient's physical condition. Summary of the invention

[0004] In a first aspect, the present application provides a monitoring information display method, comprising:

[0005] Acquiring measurement data of at least one physiological sign parameter of a monitored subject, wherein the physiological sign parameter is obtained from the monitored subject via measurement data of at least one physiological sign sensor;

[0006] Acquiring data of at least one physiological sign parameter within a preset time length;

[0007] Performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining the distribution statistics result corresponding to the parameter value partition; the parameter value partition represents the numerical range of the physiological sign parameter;

[0008] Providing a monitoring interface, and generating a measurement data display area and a distribution statistics dedicated display area on the monitoring interface;

[0009] The measurement data of the at least one physiological sign parameter is displayed in the measurement data display area of ​​the monitoring interface, and the distribution statistics result is displayed in the distribution statistics dedicated display area of ​​the monitoring interface.

[0010] In a second aspect, the present application provides a monitoring information display device, comprising:

[0011] A measurement data acquisition module, which acquires measurement data of at least one physiological sign parameter of a monitored object, wherein the measurement data of the physiological sign parameter is obtained from the monitored object via at least one physiological sign sensor;

[0012] A data acquisition module, for acquiring data of the at least one physiological sign parameter within a preset time length;

[0013] A statistical result obtaining module, which performs distribution statistics on the data within the preset time length based on at least one parameter value partition, and determines the distribution statistical result corresponding to the parameter value partition; the parameter value partition represents the value interval of the physiological sign parameter;

[0014] The display module provides a monitoring interface, displays the measurement data of the at least one physiological sign parameter in the measurement data display area of ​​the monitoring interface, and displays the distribution statistics result in the distribution statistics dedicated display area of ​​the monitoring interface.

[0015] In a third aspect, the present application also provides another method for displaying monitoring information, including:

[0016] Acquiring data of at least one physiological sign parameter of the monitored object within a preset time length, wherein the data of at least one physiological sign parameter of the monitored object within the preset time length is obtained from the monitored object via at least one physiological sign sensor;

[0017] Performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining the distribution statistics result corresponding to the parameter value partition; the parameter value partition represents the value interval of the physiological sign parameter; the value range is determined based on one or more of the alarm threshold, baseline range, and treatment target range corresponding to the physiological sign parameter;

[0018] Providing a monitoring interface and generating a dedicated display area for distribution statistics on the monitoring interface;

[0019] The distribution statistics results are displayed in a distribution statistics dedicated display area of ​​the monitoring interface.

[0020] In a fourth aspect, the present application provides a monitoring device, including:

[0021] a display configured to display information;

[0022] A processor executes program instructions to implement the steps of the monitoring information display method provided according to the first aspect or the second aspect of the present application.

[0023] In a fifth aspect, the present application provides a readable storage medium having a computer program stored thereon. When the computer program is loaded and executed by a processor, the monitoring information display method provided in the first aspect or the second aspect of the present application is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 A flowchart of a monitoring information display method is shown;

[0026] Figure 2A-2G Various schematic diagrams of the monitoring interface;

[0027] Figure 3 It is a structural schematic diagram of a monitoring information display device;

[0028] Figure 4 The figure is a schematic diagram of the hardware structure of a monitor. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] In the medical field, it is often necessary to monitor the physiological state of certain patients. Therefore, it is necessary to monitor the physiological parameters of the patient and display them to medical staff. When the medical staff finds the abnormal state of the patient based on the physiological parameters, they will take rescue measures in time.

[0031] The present application provides a monitoring information display method, which can be applied to various monitoring devices. Figure 1 A process of the monitoring information display method specifically includes the following steps 1.1-1.5.

[0032] Step 1.1: Obtain measurement data of at least one physiological sign parameter of the monitored object. The measurement data of the physiological sign parameter may specifically be currently measured data.

[0033] The monitored object may be a patient object or an object with other monitoring requirements, and the measurement data of the physiological sign parameter is obtained from the monitored object by at least one physiological sign sensor.

[0034] Using a vital sign parameter accessory device (such as a blood oxygen sensor), the measurement data of the physiological vital sign parameters of the monitored object can be collected, and the measurement data can be stored in a memory. It should be noted that the present application can obtain the measurement data of the physiological vital sign parameters from the memory, or directly from the acquisition module.

[0035] Therefore, the monitoring information method provided by the present application can be applied not only to bedside devices but also to central stations. When applied to bedside devices, the measurement data of physiological sign parameters are obtained through various accessory devices of physiological sign parameters; when applied to central stations, the central stations obtain the measurement data of physiological sign parameters from bedside devices through the network.

[0036] Step 1.2: Obtain data of at least one physiological sign parameter within a preset time period.

[0037] Among them, in addition to observing the real-time physiological state of the monitored object, the monitoring needs also require understanding the historical physiological state of the monitored object. The combination of the two can provide medical staff with richer diagnostic basis. Therefore, it is also necessary to obtain data on the physiological sign parameters of the monitored object within a preset time length.

[0038] It is understandable that the preset time length of the physiological sign parameter contains a large amount of data, and not all data are of guiding significance for the current diagnosis. According to the actual monitoring needs, the time length can be preset to limit the data within which time period needs to be obtained. For the convenience of description, the set time length can be referred to as the preset time length.

[0039] It should be noted that the preset time length is not limited in form, and can be a continuous historical time period or multiple discontinuous historical time points. That is, the data within the preset time length can be data obtained by continuous measurement between any two time points.

[0040] The preset time length may be pre-set by the system or may be set by the user. Specifically, an input window may be provided on the monitoring interface for the user to input a setting instruction. For example, a selection of the preset time length may be provided in the form of a drop-down list, and the user may select a certain selection. In response to the setting instruction input by the user, the time length set by the user is used as the preset time length.

[0041] Step 1.3: Perform distribution statistics on data within a preset time length based on at least one parameter value partition, and determine the distribution statistics result corresponding to the parameter value partition, where the parameter value partition represents the numerical range of the physiological sign parameter.

[0042] In order to facilitate observation, the data within the preset time length needs to be analyzed and processed before being displayed. One way of analysis and processing is to classify the data within the preset time length, that is, to pre-set parameter value partitions, and to perform statistics on the data within the preset time length according to the parameter value partitions. It should be noted that the parameter value partitions can be time segments, or segmentations of the data value range within the preset time length, or a combination of the two, or other segmentation conditions.

[0043] If there are multiple parameter value partitions, after distribution statistics, each parameter value partition will obtain its own distribution statistics result. Of course, there can also be only one parameter value partition, and only the data falling into the parameter value partition among all the data within the preset time length will be counted. For example, only the statistical histogram of the target parameter value partition is displayed.

[0044] The data values ​​within the preset time length may be large and the values ​​are not the same. The data within the preset time length is displayed in segments, and medical staff can understand the changes in the data within the preset time length by comparing the distribution statistics of different parameter value partitions.

[0045] Step 1.4: Provide a monitoring interface, and generate a measurement data display area and a distribution statistics display area on the monitoring interface.

[0046] Step 1.5: Display the measurement data of at least one physiological sign parameter in the measurement data display area of ​​the monitoring interface, and display the distribution statistics result in the distribution statistics dedicated display area of ​​the monitoring interface.

[0047] The display of the monitoring device provides a monitoring interface, which may be the entire monitoring interface of the display of the monitoring device, or a window embedded in or suspended on the entire monitoring interface of the display.

[0048] The measurement data of the physiological sign parameters obtained above and the data within a preset time length are displayed in different areas of the monitoring interface, wherein the area where the measurement data is displayed is called the measurement data display area, and the area where the distribution statistics of the data within a preset time length are displayed is called the distribution statistics dedicated display area.

[0049] In one embodiment, the measurement data display area and the distribution statistics dedicated display area may have a binding relationship, and are displayed in the monitoring interface at the same time, and disappear from the monitoring interface at the same time. The binding relationship may be reflected in the display position relationship, for example, the measurement data display area and the distribution statistics dedicated display area may be located adjacent to each other in the monitoring interface.

[0050] It should be noted that the physiological sign parameters can be one or more. If there are multiple physiological sign parameters, the measurement data display area can be divided into multiple sub-areas to display the measurement data of different types of physiological sign parameters respectively. Similarly, the distribution statistics display area can also be divided into multiple sub-areas to display the distribution statistics results of different types of physiological sign parameters respectively.

[0051] In addition, if the measurement data of the physiological sign parameter and / or the data within a preset time length exceeds the alarm threshold corresponding to the physiological sign parameter, when displaying the distribution statistics of the measurement data and / or the data within the preset time length, the display style corresponding to the alarm can be used for display. That is, when monitoring the measurement data of the physiological sign parameter, if the measurement data exceeds the corresponding parameter threshold, the measurement data is displayed in the measurement data display area based on a preset alarm display style. Among them, the alarm display style can be any pre-set display style that is different from the normal situation.

[0052] Furthermore, the distribution statistics results displayed in the dedicated display area for distribution statistics can be set by the user. Specifically, a selection operation control is provided in the dedicated display area for distribution statistics; and in response to the selection instruction input by the user through the selection operation control, the distribution statistics results of the physiological sign parameters to be displayed in the dedicated display area for distribution statistics, as well as the value of the preset time length are determined. For example, the selection operation control can provide options for multiple parameter value partitions, and the user can select a certain parameter value partition, and the dedicated display area for distribution statistics only displays the distribution statistics results corresponding to the selected parameter value partition. The selection operation control can also include a time input sub-control so that the user can input the value of the preset time length. Furthermore, a parameter selection operation control for physiological sign parameters can also be provided, and in response to the selection instruction input by the user through the control, it is determined which physiological sign parameters are monitored.

[0053] The distribution statistics of the data within the preset time length can be displayed in the form of text or in the form of a distribution statistics chart. The specific display method can be described in detail below and will not be repeated here.

[0054] It can be seen from the above technical solutions that the present application provides a monitoring information display method, which can obtain the measurement data of the physiological sign parameters of the monitored object, and can also obtain the data within a preset time length of the physiological sign parameters, and perform statistics on the data within the preset time length according to the parameter value partition to obtain the distribution statistical results, and include the measurement data and the distribution statistical results in different areas of the monitoring interface for display. From the monitoring interface, medical staff can view the current situation of the physiological sign parameters of the monitored object, and can also view the distribution statistics of the physiological sign parameters. The two aspects of information can provide more abundant basis for medical staff to judge the physiological state of the monitored object. In addition, the data within the preset time length is displayed according to different parameter value partitions and categories, and medical staff can easily judge the changes in the physiological sign parameters of the monitored object by comparison.

[0055] Several specific implementation forms of the monitoring interface are described below. In different monitoring interfaces, the display methods of the measurement data and distribution statistics of the physiological sign parameters are different.

[0056] In one implementation, after obtaining the distribution statistics results, a distribution statistics chart can be generated according to the parameter value partitions and the distribution statistics results, and the distribution statistics chart can be displayed in a dedicated display area for distribution statistics. The distribution statistics chart can include statistical graphs such as pie charts, histograms, etc., and can also include statistical tables.

[0057] A specific implementation of the distribution statistics chart includes a histogram, specifically a histogram with parameter value partitions and distribution statistics results as two coordinate axes. The histogram can also be called a statistical histogram.

[0058] In this case, one form of parameter value partitioning is the numerical interval of the physiological sign parameter, and the distribution statistical result is the number or number ratio of the data of the physiological sign parameter within the preset time length that falls within each numerical interval. Of course, the parameter value partitioning and distribution statistical result can also be applied to other forms of distribution statistical charts.

[0059] In this case, the data within the preset time length of the physiological sign parameter includes data obtained by continuous or intermittent measurement between any two time points. For example, data obtained by continuous or intermittent measurement between the current time point and a historical time point. Of course, such data within the preset time length can also be applied to other forms of segmented statistics.

[0060] See Figure 2A , which shows an example of a monitoring interface. Figure 2AAs shown, the physiological sign parameter displayed on the monitoring interface is blood oxygen saturation (SpO2). The monitoring interface includes a measurement data display area 201 and a distribution statistics special display area 202, wherein the measurement data display area 201 displays 93% of the measurement data of blood oxygen saturation, and the distribution statistics special display area 202 displays a histogram of blood oxygen saturation, which is obtained by segmenting the data within a preset time length of blood oxygen saturation. From the description of the histogram, it can be seen that the data within the preset time length is the data measured within 24 hours (h) before the current time point. It should be noted that the time length can be selected and set by the user, such as Figure 2A The downward-pointing triangle icon in the figure can be clicked by the user to select the length of time provided.

[0061] The horizontal axis of the histogram is the four parameter intervals of blood oxygen saturation, which are [0-80%], [81%]-90%], [91%]-95%], and [96%]-100%]. The vertical axis of the histogram is the ratio of the blood oxygen saturation in different blood oxygen saturation parameter intervals to the total amount of data in the preset time length in the parameter interval. By observing the histogram, medical staff can understand that the blood oxygen statistics (SpO2 Statistic) of the monitored object in the past 24 hours are as follows: the number of blood oxygen saturation values ​​less than 80% accounts for 5% of the total, the number of blood oxygen saturation values ​​greater than 81% and less than 90% accounts for 15% of the total, the number of blood oxygen saturation values ​​greater than 91% and less than 95% accounts for 70% of the total, and the number of blood oxygen saturation values ​​greater than 96% and less than 100% accounts for 10% of the total.

[0062] It should be noted that in practical applications, the histogram is not limited to being generated only for blood oxygen saturation, and a histogram can be generated for other types of physiological sign parameters on the basis of including the blood oxygen saturation histogram. Alternatively, the histogram is generated only for other types of physiological sign parameters without including the blood oxygen saturation.

[0063] in addition, Figure 2A In the monitoring interface shown, the measurement data displayed in the measurement data display area 201 is not limited to blood oxygen saturation, but can also be other types of physiological sign parameters. Alternatively, the measurement data display area is divided into multiple sub-areas, one sub-area displays the measurement data of blood oxygen saturation, and other areas display other types of physiological sign parameters.

[0064] Another specific implementation of the distribution statistics chart includes a statistical table, specifically a statistical table with parameter value partitions as table headers and statistical results as content. Similar to the above histogram, the statistical table shows what the distribution statistics results are under each parameter value partition. Unlike the above histogram, the parameter value partitions and the distribution statistics results are not in the relationship of horizontal axis and vertical axis, but the parameter value partitions are used as table headers, i.e., column attributes, and the distribution statistics results are used as records in the table.

[0065] by Figure 2A For example, we can use each parameter interval as a column attribute, and the value corresponding to each column attribute is the quantity ratio corresponding to the parameter interval. Each quantity ratio constitutes a record in the statistical table. Through this record, we can see what the distribution statistics results are under different parameter value partitions.

[0066] From the above examples, we can see that the display method of distribution statistics charts is relatively standardized and simple, which is convenient for medical staff to view and understand.

[0067] It should be noted that the distribution statistics results may correspond to multiple parameter value partitions, and one (some) parameter value partitions have special significance relative to other parameter value partitions. The special significance may specifically be that it can provide guidance for medical staff to judge the physiological state of the monitored object. For the sake of ease of description, the parameter value partition with such special significance may be referred to as the target parameter value partition. The target parameter value partition may be the parameter value partition corresponding to the normal situation, or it may be the parameter value partition corresponding to the abnormal situation, or it may also be the parameter value partition to be achieved after treatment by medical means (wherein the parameter value partition to be achieved after treatment may be referred to as the treatment target partition, and other parameter value partitions may be referred to as non-treatment target partitions). The target parameter value partition may be a parameter value partition or partitions, which may be pre-set by the system, or may be selected and set by the user.

[0068] In order to distinguish the target parameter value partitions, the target parameter value partitions and / or the distribution statistics corresponding to the target parameter value partitions may be displayed in a display style different from that of other parameter value partitions. Figure 2A Taking the blood oxygen statistics shown as an example, if the treatment target partition is [91%]-95%], the background color is filled in the parameter interval. Of course, the display method of differentiation is not limited to color, and can also be differentiated by adding icons and symbols.

[0069] Alternatively, in order to facilitate the medical staff to count the abnormal values ​​or normal values ​​contained in the statistical results, the target condition can be set in the parameter value partition in advance. The distribution statistical results corresponding to the target condition are displayed in different display modes. Specifically, the target condition can indicate that the physiological sign parameter is within the normal or abnormal range to remind the medical staff of the normal or abnormal state of the monitored object. Of course, the target condition can also be a range period that the medical staff wants to pay attention to.

[0070] Therefore, the monitoring information display method may further include: determining a target condition from at least one parameter value partition according to a setting information; and determining a display style different from other distribution statistics results for the distribution statistics result corresponding to the target condition. In this way, when displaying the distribution statistics result, the distribution statistics result can be displayed in the distribution statistics dedicated display area of ​​the monitoring interface based on the display style.

[0071] Furthermore, in order to provide medical personnel with more information to consult, the monitoring information display method can display trend graphs and / or waveform graphs corresponding to the physiological sign parameters on the basis of displaying the physiological sign parameter measurement data.

[0072] Specifically, a corresponding waveform graph and / or trend graph is generated based on data within a preset time length of at least one physiological sign parameter; and the waveform graph and / or trend graph is displayed in the measurement data display area. For example, for blood oxygen measurement, a tracing wave (waveform graph) about blood oxygen can be displayed in the measurement data display area, or a blood oxygen saturation trend graph (a graph depicting blood oxygen saturation values ​​obtained by continuous measurement over a period of time) can be displayed. Specifically, the measurement data and waveform graph / trend graph corresponding to the same physiological sign parameter can be displayed close together.

[0073] Among them, the forms of the expression graphics (waveform graphs and / or trend graphs) corresponding to different types of physiological sign parameters are different. In order to display the expression graphics of the physiological sign parameters in the measurement data display area, the measurement data display area can be divided into multiple sub-areas, one part displays the measurement data of the physiological sign parameters, and the other part displays the expression graphics of the physiological sign parameters.

[0074] See Figure 2B , which shows another example of a monitoring interface. Figure 2BAs shown, the physiological sign parameters involved in the monitoring interface include blood oxygen saturation (SpO2), pulse rate (pulse rate, PR) and perfusion index (perfusion index, PI). The monitoring interface includes a measurement data display area 211 and a distribution statistics display area 212. Among them, the measurement data display area 211 contains the measurement data of the three physiological sign parameters of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI, which are 93%, 120bpm and 0.5 respectively. It should be noted that since the perfusion index 0.5 exceeds the alarm threshold, the measurement data is displayed in an alarm style. As shown Figure 2B As shown, the alarm style includes inverted display of numerical values ​​and addition of background color. The distribution statistics dedicated display area 212 displays a statistical histogram of blood oxygen saturation.

[0075] The measurement data display area 211 includes the measurement data of the above three physiological sign parameters and also includes the pleth wave (Pleth) related to the blood oxygen saturation. The measurement data display area can be divided into four sub-areas, three of which are used to display the measurement data of the above three physiological sign parameters respectively, and the other sub-area is used to display the pleth wave (Pleth).

[0076] Alternatively, a plurality of expression graphs of physiological sign parameters may be obtained, and the expression graphs of different physiological sign parameters may be respectively displayed in the sub-regions where the measurement data of the physiological sign parameters are located.

[0077] See Figure 2C , which shows another example of a monitoring interface. Figure 2C As shown, the monitoring interface includes a measurement data display area 221 and a distribution statistics display area 222. The measurement data display area 221 displays the measurement data of blood oxygen saturation 93%, the measurement data of pulse rate PR 120bpm and the measurement data of perfusion index PI 0.5, and the distribution statistics display area 222 displays the statistical histogram of blood oxygen saturation.

[0078] It should be noted that the measurement data display area 221 includes not only the measurement data of the three physiological sign parameters of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI, but also the display graphs of the three physiological sign parameters. Specifically, the display graphs include: a plethysmographic wave (Pleth) and a trend graph, a trend graph of the pulse rate PR, and a trend graph of the perfusion index PI.

[0079] The trend graph may include the normal parameter value range of the physiological sign parameter, which may be indicated by shadows and numerical values. Figure 2CAs shown, according to the numerical scale, the normal parameter value range of blood oxygen saturation SpO2 includes 91%-95%, the normal parameter value range of pulse rate PR includes 100bpm-200bpm, and the normal parameter value range of perfusion index PI is above 1.0.

[0080] It should be noted that Figure 2C For other information such as the distribution statistics dedicated display area 222 included in Figure 2A and Figure 2B The instructions in are not repeated here.

[0081] In another implementation, the trend graph can be displayed in a trend display area different from the measurement data display area and the distribution statistics dedicated display area in addition to the measurement data display area. Specifically, a corresponding trend graph and / or trend table is generated based on data within a preset time length of at least one physiological sign parameter; and a trend graph and / or trend table of at least one physiological sign parameter is displayed in the trend display area of ​​the monitoring interface.

[0082] In addition to dividing the measurement data display area and the distribution statistics dedicated display area, the monitoring interface can also be divided into a trend display area, which is used to display a trend graph. The trend graph is generated by the data within the preset time length of the physiological sign parameter. It should be noted that when the types of physiological sign parameters include multiple, the trend graph is also correspondingly multiple, and different physiological sign parameters correspond to different trend graphs. Multiple trend graphs can be arranged up and down, side by side, or arranged in other ways. In addition, the trend graph / trend table can be refreshed, that is, in response to a preset trigger condition, the trend graph / trend table displayed in the trend display area is refreshed. The trigger condition can be a time condition, that is, every preset period of time, the data within the preset time length after the refresh is obtained, and a new trend graph is generated according to the data within the preset time length after the refresh for display. The trigger condition can also be to determine that the measurement data of the corresponding physiological sign parameter is updated. For example, after determining that the measurement data of the corresponding physiological sign parameter is updated, the trend graph / trend table displayed in the trend display area is synchronously refreshed. Of course, after determining that the measurement data of the corresponding physiological sign parameter is updated, the distribution statistics results displayed in the distribution statistics dedicated display area can also be synchronously refreshed.

[0083] See Figure 2D , which shows another example of a monitoring interface. Figure 2DAs shown, the physiological sign parameters displayed on the monitoring interface include three types: blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. Specifically, the monitoring interface includes a measurement data display area 231, a distribution statistics dedicated display area 232 and a trend display area 233. The measurement data display area 221 displays the measurement data of blood oxygen saturation 93%, the measurement data of pulse rate PR 120bpm and the measurement data of perfusion index PI 0.5, and the distribution statistics dedicated display area 232 displays the statistical histogram of blood oxygen saturation.

[0084] The trend display area 233 includes the trend graphs of the three physiological sign parameters of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI from top to bottom. Of course, the arrangement of the three trend graphs is not limited to this, and the top-bottom order can be arranged arbitrarily, or other arrangement directions can also be used.

[0085] In addition, the three trend graphs are generated by the data within the preset time length of the three physiological sign parameters. It can be seen from the -2h (hour) and -1h (hour) in the figure that the data within the preset time length is the data measured within 2 hours before the current time point 0.

[0086] It should be noted that Figure 2D For other regional information contained in Figure 2A-2C The instructions in are not repeated here.

[0087] About trend tables.

[0088] The header of the trend table contains parameter value partitions. The records in the table show the distribution statistics results under a parameter value partition.

[0089] See Figure 2E , which shows another example of a monitoring interface. Figure 2E As shown, the physiological sign parameters displayed on the monitoring interface include three types: blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. The monitoring interface includes a measurement data display area 241, a distribution statistics display area 242 and a trend display area 243. The measurement data display area 241 displays the measurement data of blood oxygen saturation 93%, the measurement data of pulse rate PR 120bpm and the measurement data of perfusion index PI 0.5, and the distribution statistics display area 242 displays the statistical histogram of blood oxygen saturation.

[0090] The trend display area 243 shows the trend table of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. The trend table shows the parameter values ​​of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI at multiple different historical time points. The time points (Time) are 6:30, 7:00, 7:30, 8:00, 8:30, 9:00 and 9:30 respectively. The time lengths between these multiple historical time points are fixed at 30 minutes. Of course, the time lengths can be other values ​​and are not limited to this. It should be noted that Figure 2E The time points in the sequence are arranged from top to bottom, and the time points are arranged farther and farther from the current time point. Of course, the order of the time points can be reversed, that is, the time points are arranged closer and closer to the current time point from top to bottom.

[0091] Of course, the historical time point may also be a time point in other forms of a past time period. It should be noted that the historical time point may have a time point selection standard, such as the above Figure 2E As shown, the time point is the hour of the hour and the time point of 30 minutes. The end time point of the historical time point can be the time point that meets the above selection criteria and is closest to the current time point. For example, the current time point is 9:40, Figure 2E The most recent time point obtained is 9:30.

[0092] During the execution of this method, the defined preset time length may change with the change of time, so the data obtained within the preset time length is changed, and the displayed distribution statistics results can be refreshed, and the refresh interval can be set by the user. Figure 2E For example, assuming that the current time point changes from 9:40 to 10:01, the data of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI within the preset time length of 10:00 can be obtained and displayed in the first row. Accordingly, the blood oxygen saturation SpO2, pulse rate PR and perfusion index PI at the last row time point of 6:30 can be omitted, displayed in other screens, or continued to be displayed.

[0093] The number of records displayed in the trend table can be a preset fixed value, or can also be set to a value indicated by an instruction according to a setting instruction of the user. If multiple statistical records cannot be displayed at the same time, they can be displayed on multiple screens, and the user can view other statistical records contained in other screens through touch operation.

[0094] It should be noted that the trend graph and the trend table are two different trend diagrams, and one of them can be preset to be fixedly displayed in the trend display area. Alternatively, the trend graph and the trend table can be switched between each other, and the triggering instruction of the switching can be implemented by the user. Specifically, in response to the instruction input by the user, the trend graph or the trend table displayed in the trend display area is switched to the other.

[0095] In one example, a button, such as a physical button or a virtual button displayed on a display screen, may be provided on the monitoring device, and the user may trigger the button to select whether to display a trend graph or a trend table.

[0096] In another example, when the display screen of the monitoring device has a touch function, the method of inputting instructions can be sliding on the display screen, such as sliding to the left or right, or sliding up or down. In order to facilitate the user to input accurate switching sliding instructions, the trend display area can also include a prompt icon to prompt the user in which direction to slide to trigger the display of another trend icon.

[0097] like Figure 2F As shown, the display screen of the monitoring device includes a monitoring interface. The trend display area of ​​the monitoring interface currently displays a trend table. There are two circular icons below the trend table. The circular icon on the left is darker in color, and the circular icon on the right is lighter in color, indicating that the trend icon on the left is currently displayed. If you want to trigger the display of another trend icon, you need to swipe to the right. Based on the prompt, the user triggers the swipe right operation on the display screen, and the content displayed in the trend display area can be switched from a trend table to a trend chart. At the same time, the circular icons become, the circular icon on the left is lighter in color, and the circular icon on the right is darker in color. Of course, you can also switch in the opposite direction to switch the trend chart to a trend table.

[0098] Assume that the trend graph and trend table are Figure 2D and Figure 2E Based on the above operation of switching the trend table to the trend chart, the entire monitoring interface can be Figure 2E The style is switched to Figure 2D style.

[0099] It should be noted that the switching operation method can not only facilitate medical staff to view trend diagrams in different forms, but also save the area occupied by the trend display area in the monitoring interface.

[0100] When the monitoring interface includes a trend table or a trend graph, it is also possible to prompt abnormal situations in the trend table or the trend graph. Specifically, the parameter value of the physiological sign parameter in the monitoring trend table is displayed based on a preset display style if the parameter value exceeds the corresponding parameter threshold; or, the parameter value of the physiological sign parameter in the monitoring trend table is displayed based on a preset display style if the alarm information associated with the parameter value is detected; or, the trend table is displayed using a display style that can distinguish between normal and abnormal parameter values ​​of the physiological sign parameters in the trend table.

[0101] The alarm information may be an alarm condition defined according to an abnormal physiological state. If the parameter value of a physiological sign parameter triggers the alarm information, it is necessary to prompt the parameter value. For example, the alarm information related to blood oxygen saturation may include low blood oxygen saturation. If a certain parameter value of blood oxygen saturation triggers a low blood oxygen saturation alarm, it is necessary to prompt the parameter value. For another example, the alarm information related to pulse rate may include bradycardia, extreme bradycardia or hypocardia. If a certain parameter value of the pulse rate triggers any of the above alarm information, the pulse rate may be prompted.

[0102] by Figure 2E For example, if the physiological sign parameter in a record in the trend table exceeds the corresponding parameter threshold, or triggers the associated alarm information, its display font color can be set to be different from the font color of other records, or a background color can be added to the record. Similarly, the curves corresponding to normal and abnormal parameter values ​​of physiological sign parameters in the trend chart can be distinguished by different colors. Of course, the display style is not limited to color, and can also be distinguished by adding background patterns, adding icon symbols, and other forms.

[0103] It should be noted that the above various forms of diagrams can be displayed in any combination. For example, Figure 2A , Figure 2B or Figure 2C Can be combined with trend table or trend graph. Figure 2G , which shows another example of a monitoring interface. Figure 2GAs shown, the monitoring interface includes a measurement data display area 251, a distribution statistics display area 252 and a trend display area 253. Among them, the measurement data display area 251 contains the measurement data of three physiological sign parameters: blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. Specifically, the measurement data of blood oxygen saturation SpO2 is 93%, the measurement data of pulse rate PR is 120bpm (beats per minute), and the measurement data of perfusion index PI is 0.5. The distribution statistics display area 252 displays the statistical histogram of blood oxygen saturation. The trend display area 253 displays the trend table of blood oxygen saturation SpO2, pulse rate PR and perfusion index PI.

[0104] It should be noted that Figure 2G Other information contained in can be found in the above-mentioned diagrams and will not be described here. In addition, in the diagrams related to the monitoring interface in this article, the measurement data display area where the measurement data is located also includes a status indicator, and the status indicator includes multiple parameter value partitions and an indicator mark, and the indicator mark is used to indicate the parameter value partition to which the measurement data belongs.

[0105] The following describes an embodiment of a device related to the monitoring information display method. The description of the device can be found in the above method embodiment part, which will not be repeated below.

[0106] The embodiment of the present application also provides another monitoring information display method. It should be noted that some specific implementation schemes of the monitoring information display method are the same or similar to the monitoring information display method provided in the above embodiment, and only a brief description of the monitoring information display method is given below. It should be understood that those skilled in the art can apply the relevant technical solutions here on the basis of the above description.

[0107] The monitoring information display method includes:

[0108] Acquiring data of at least one physiological sign parameter of the monitored object within a preset time length, wherein the data of at least one physiological sign parameter of the monitored object within the preset time length is obtained from the monitored object via at least one physiological sign sensor;

[0109] Performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining the distribution statistics result corresponding to the parameter value partition; the parameter value partition represents the value interval of the physiological sign parameter; the value range is determined based on one or more of the alarm threshold, baseline range, and treatment target range corresponding to the physiological sign parameter;

[0110] Providing a monitoring interface and generating a dedicated display area for distribution statistics on the monitoring interface;

[0111] The distribution statistics results are displayed in a distribution statistics dedicated display area of ​​the monitoring interface.

[0112] In one embodiment, the alarm threshold may be a numerical range corresponding to critical alarm, intermediate alarm and other levels; the baseline range may refer to the normal numerical range of the physiological sign parameters of the current monitored object; the treatment target range may refer to the numerical range that the medical staff wants to treat the monitored object so that the physiological sign parameters of the monitored object reach after treatment.

[0113] In this embodiment, the distribution statistics result is not a simple interval division of the physiological sign data of the monitored object, but a numerical interval is determined based on the alarm threshold, baseline range, and treatment target range, and the data within a preset time period is distributed and statistically analyzed. The obtained distribution statistics result allows medical staff to intuitively understand the distribution of the physiological sign parameter data of the monitored object within the alarm threshold, baseline range, and treatment target range within a period of time, so as to facilitate understanding of the physiological state of the monitored object. Simple interval division results in relatively messy data, and even if medical staff see the distribution results, they cannot intuitively understand the physiological state of the monitored object associated with these distribution results. The monitoring information display method provided in this embodiment solves this problem well.

[0114] In one embodiment, the monitoring information display method further includes:

[0115] Acquiring measurement data of at least one physiological sign parameter of the monitored subject;

[0116] Generating a measurement data display area on the monitoring interface;

[0117] The measurement data of the at least one physiological sign parameter is displayed in the measurement data display area of ​​the monitoring interface.

[0118] In one embodiment, the monitoring information display method further includes: generating a distribution statistics chart according to the parameter value partitions and the distribution statistics results, and displaying the distribution statistics chart in the distribution statistics dedicated display area.

[0119] In one embodiment, the distribution statistics chart is a histogram with the parameter value partitions and the statistical results as two coordinate axes; or, the distribution statistics chart is a statistical table with the parameter value partitions as headers and the statistical results as content.

[0120] In one embodiment, the data within the preset time length includes: data obtained by continuous measurement or intermittent measurement between any two time points.

[0121] In one embodiment, the distribution statistics result is: the number or number ratio of the physiological sign parameters in the data within a preset time length that falls into the numerical interval corresponding to the parameter value partition.

[0122] In one embodiment, the monitoring information display method further includes:

[0123] determining a target condition from the at least one parameter value partition according to the setting information;

[0124] Determine a display style for the statistical result corresponding to the target condition that is different from other statistical results;

[0125] Based on the display style, the distribution statistics result is displayed in a distribution statistics dedicated display area of ​​the monitoring interface.

[0126] In one embodiment, the monitoring information display method further includes:

[0127] Generate a corresponding waveform graph and / or trend graph according to the data within a preset time length of the at least one physiological sign parameter;

[0128] The waveform graph and / or trend graph is displayed in the measurement data display area.

[0129] In one embodiment, the monitoring information display method further includes:

[0130] Generate a corresponding trend graph and / or trend table according to the data within a preset time length of the at least one physiological sign parameter;

[0131] A trend display area is generated on the monitoring interface, and a trend graph and / or trend table of the at least one physiological sign parameter is displayed in the trend display area.

[0132] In one embodiment, the monitoring information display method further includes: in response to an instruction input by a user, switching the trend graph or trend table displayed in the trend display area to another one.

[0133] In one embodiment, the monitoring information display method further includes:

[0134] In response to a preset trigger condition, refreshing the trend graph and / or trend table displayed in the third area; or,

[0135] After determining that the measurement data of the physiological sign parameter is updated, the distribution statistics result is synchronously refreshed, and / or the trend graph and / or trend table is synchronously refreshed.

[0136] In one embodiment, the monitoring information display method further includes:

[0137] Providing a selection operation control in the distribution statistics dedicated display area;

[0138] In response to a selection instruction input by the user through the selection operation control, the statistical results of the physiological sign parameters to be displayed in the distribution statistics dedicated display area and the value of the preset time length are determined.

[0139] See Figure 3 , which shows a structural schematic diagram of the monitoring information display device provided by the present application. Figure 3 As shown, the monitoring information display device may specifically include: a measurement data acquisition module 301 , a data acquisition module 302 , a statistical result acquisition module 303 , and a display module 304 .

[0140] The measurement data acquisition module 301 acquires measurement data of at least one physiological sign parameter of the monitored object, wherein the measurement data of the physiological sign parameter is obtained from the monitored object via at least one physiological sign sensor;

[0141] The data acquisition module 302 acquires data of the at least one physiological sign parameter within a preset time length;

[0142] The statistical result obtaining module 303 performs distribution statistics on the data within the preset time length based on at least one parameter value partition, and determines the distribution statistical result corresponding to the parameter value partition; the parameter value partition represents the value interval of the physiological sign parameter;

[0143] The display module 304 provides a monitoring interface, displays the measurement data of the at least one physiological sign parameter in the measurement data display area of ​​the monitoring interface, and displays the distribution statistics result in the distribution statistics dedicated display area of ​​the monitoring interface.

[0144] In one embodiment, the display module 304 generates a distribution statistics chart according to the parameter value partitions and the distribution statistics results, and displays the distribution statistics chart in the distribution statistics dedicated display area.

[0145] In one embodiment, the distribution statistics chart is a histogram with the parameter value partitions and the statistical results as two coordinate axes; or, the distribution statistics chart is a statistical table with the parameter value partitions as headers and the statistical results as content.

[0146] In one embodiment, the data within the preset time length includes data obtained by continuous measurement or intermittent measurement between any two time points.

[0147] In one embodiment, the distribution statistics result is: the number or number ratio of the physiological sign parameters in the data within a preset time length that falls into the numerical interval corresponding to the parameter value partition.

[0148] In one embodiment, the parameter value partitions include treatment target partitions, and the treatment target partitions correspond to numerical intervals of treatment target values ​​of the physiological sign parameters.

[0149] In one embodiment, the display module 304 uses a first display style to output and display the non-treatment target partition, and uses a second display style different from the first display style to output and display the treatment target partition.

[0150] In one embodiment, the display module 304 determines a target condition from the at least one parameter value partition according to the setting information; determines a display style that is different from other statistical results for the statistical results corresponding to the target condition; and based on the display style, displays the distribution statistical results in the distribution statistics dedicated display area of ​​the monitoring interface.

[0151] In one embodiment, the display module 304 generates a corresponding waveform graph and / or trend graph according to the data within a preset time length of the at least one physiological sign parameter; and displays the waveform graph and / or trend graph in the measurement data display area.

[0152] In one embodiment, the display module 304 generates a corresponding trend graph and / or trend table based on the data within a preset time length of the at least one physiological sign parameter; and displays the trend graph and / or trend table of the at least one physiological sign parameter in the trend display area of ​​the monitoring interface.

[0153] In one embodiment, the display module 304 switches the trend graph or trend table displayed in the trend display area to another one in response to an instruction input by the user.

[0154] In one embodiment, the display module 304 responds to a preset trigger condition, refreshes the trend graph and / or trend table displayed in the trend display area, or, after determining that the measurement data of the physiological sign parameter is updated, synchronously refreshes the distribution statistics result, and / or synchronously refreshes the trend graph and / or trend table.

[0155] In one embodiment, the display module 304 monitors the parameter value of the physiological sign parameter in the trend table, and if the parameter value exceeds the corresponding parameter threshold, the parameter value is displayed based on a preset display style; or, the parameter value of the physiological sign parameter in the trend table is monitored, and if alarm information associated with the parameter value is monitored, the parameter value is displayed based on a preset display style; or, the trend chart is displayed in a display style that can distinguish between normal and abnormal parameter values ​​of the physiological sign parameters in the trend chart.

[0156] In one embodiment, the display module 304 monitors the measurement data of the physiological sign parameter, and if the measurement data exceeds the corresponding parameter threshold, the measurement data is displayed in the measurement data display area based on a preset display style.

[0157] In one embodiment, the monitoring information display device further includes: a time length setting module. The time length setting module provides a selection operation control in the distribution statistics dedicated display area; in response to a selection instruction input by a user through the selection operation control, determines the statistical results of the physiological sign parameters to be displayed in the distribution statistics dedicated display area, and the value of the preset time length.

[0158] The present application also provides a monitoring device, including:

[0159] a display configured to display information;

[0160] The processor executes program instructions to implement each step of the monitoring information method in the above embodiment.

[0161] The monitoring equipment mentioned in this application is not limited to monitors, but can also be invasive / non-invasive ventilators, anesthesia machines, defibrillators, nurse stations, central stations and other equipment with monitoring functions. Of course, it can also be a computer terminal or mobile terminal that installs and runs clinical data monitoring and analysis software to implement the methods provided in the above embodiments. The following embodiments are mainly described by taking monitors as an example.

[0162] A specific example of a monitor is Figure 4 shown. Figure 4 A system framework diagram of a parameter processing module in a multi-parameter monitor is provided.

[0163] The multi-parameter monitor has an independent shell, and a sensor interface area is provided on the shell panel, in which a plurality of sensor interfaces are integrated, which are used to connect with external physiological sign parameter sensor accessories 411. The shell panel also includes a small LCD display area, a display 418, an input interface circuit 420 and an alarm circuit 419 (such as an LED alarm area), etc. The parameter processing module is used for external communication and power supply interfaces for communicating with the host and taking power from the host. The parameter processing module also supports an external parameter module, which can form a plug-in monitor host by inserting the parameter module, as a part of the monitor, and can also be connected to the host through a cable, and the external parameter module is an external accessory of the monitor. In addition, the multi-parameter monitor includes a memory 417, which is used to store computer programs and various data generated in the related monitoring process.

[0164] The internal circuit of the parameter processing module is placed in the housing, such as Figure 4As shown, it includes a signal acquisition circuit 412 corresponding to at least two physiological sign parameters, a front-end signal processing circuit 413 and a main processor 415.

[0165] The main processor 415 can implement each processing-related step in the above-mentioned monitoring information display method.

[0166] The signal acquisition circuit 412 can be selected from an electrocardiogram circuit, a respiratory circuit, a body temperature circuit, a blood oxygen circuit, a non-invasive blood pressure circuit, an invasive blood pressure circuit, etc. These signal acquisition circuits 412 are electrically connected to corresponding sensor interfaces, respectively, and are used to be electrically connected to sensor accessories 411 corresponding to different physiological sign parameters. The output end is coupled to the front-end signal processor, and the communication port of the front-end signal processor is coupled to the main processor, and the main processor is electrically connected to the external communication and power supply interface.

[0167] Various physiological sign parameter measurement circuits can adopt general circuits in the existing technology. The front-end signal processor completes the sampling and analog-to-digital conversion of the output signal of the signal acquisition circuit, and outputs a control signal to control the measurement process of the physiological signal. These parameters include but are not limited to: electrocardiogram, respiration, body temperature, blood oxygen, non-invasive blood pressure and invasive blood pressure parameters.

[0168] The front-end signal processor can be implemented by a single-chip microcomputer or other semiconductor devices, or by an ASIC or FPGA. The front-end signal processor can be powered by an isolated power supply, and the sampled data is simply processed and packaged, and then sent to the main processor through the isolated communication interface. For example, the front-end signal processor circuit can be coupled to the main processor 415 through the isolated power supply and the communication interface 414.

[0169] The reason why the front-end signal processor is powered by an isolated power supply is that the DC / DC power supply isolated by a transformer plays the role of isolating the patient from the power supply equipment. The main purposes are: 1. Isolate the patient. Through the isolation transformer, the application part is floated to make the patient leakage current small enough; 2. Prevent the voltage or energy during the application of defibrillation or electric knife from affecting the boards and devices of the intermediate circuit such as the main control board (guaranteed by creepage distance and electrical clearance).

[0170] The main processor completes the calculation of the physiological sign parameters, and sends the calculation results and waveforms of the parameters to the host (such as a host with a display, a PC, a central station, etc.) through the external communication and power supply interface. The external communication and power supply interface 416 can be one or a combination of the local area network interfaces composed of Ethernet, Token Ring, Token Bus, and the fiber distributed data interface (FDDI) as the backbone network of these three networks, or one or a combination of wireless interfaces such as infrared, Bluetooth, wifi, WMTS communication, etc., or one or a combination of wired data connection interfaces such as RS232 and USB.

[0171] The external communication and power interface 416 may also be a combination of one or both of a wireless data transmission interface and a wired data transmission interface. The host may be any computer device such as a monitor host, an electrocardiograph, an ultrasonic diagnostic instrument, a computer, etc., which can form a monitoring device by installing the corresponding software. The host may also be a communication device, such as a mobile phone, and the parameter processing module sends data to a mobile phone that supports Bluetooth communication through a Bluetooth interface to realize remote data transmission.

[0172] In addition, the present application provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned various monitoring information display methods are implemented.

[0173] This document is described with reference to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope of this document. For example, various operating steps and components for performing the operating steps may be implemented in different ways (e.g., one or more steps may be deleted, modified, or incorporated into other steps) depending on the specific application or considering any number of cost functions associated with the operation of the system.

[0174] The terms "first", "second", etc. in the specification and claims of this document and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. 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 optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods or devices.

[0175] In addition, as will be appreciated by those skilled in the art, the principles of the present invention may be reflected in a computer program product on a computer-readable storage medium, which is pre-installed with a computer-readable program code. Any tangible, non-temporary computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu Ray disks, etc.), flash memory, and / or the like. These computer program instructions may be loaded onto a general-purpose computer, a special-purpose computer, or other programmable data processing device to form a machine, so that these instructions executed on a computer or other programmable data processing device may generate a device that implements a specified function. These computer program instructions may also be stored in a computer-readable memory, which may instruct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory may form a manufactured product, including an implementation device that implements a specified function. The computer program instructions may also be loaded onto a computer or other programmable data processing device, so that a series of operating steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device may provide steps for implementing a specified function.

[0176] The foregoing specific description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes can be made without departing from the scope of the present disclosure. Therefore, the consideration of the present disclosure will be illustrative rather than restrictive, and all these modifications will be included in its scope. Similarly, the advantages, other advantages and solutions to the problems of various embodiments have been described above. However, the benefits, advantages, solutions to the problems and any elements that can produce these, or make them more clear, should not be interpreted as critical, necessary or necessary. The term "include" and any other variants used in this article are all non-exclusive inclusions, so that the process, method, article or device including the list of elements not only includes these elements, but also includes other elements that are not explicitly listed or do not belong to the process, method, system, article or device. In addition, the term "coupled" and any other variants used in this article refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections and / or any other connections.

[0177] The above embodiments only express several implementation methods, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A monitoring information display method, characterized in that: include: Acquiring measurement data of at least one physiological sign parameter of a monitored subject, wherein the measurement data of the physiological sign parameter is obtained from the monitored subject via at least one physiological sign sensor; Acquiring data of at least one physiological sign parameter within a preset time length; Performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistics result corresponding to the parameter value partition; The parameter value partition represents a numerical range of the physiological sign parameter; the at least one parameter value partition is pre-set, and the at least one parameter value partition includes one or more treatment target partitions for supporting the determination of the physiological state of the monitored object, and the treatment target partition corresponds to the numerical range of the treatment target value of the physiological sign parameter; Providing a monitoring interface, and generating a measurement data display area and a distribution statistics dedicated display area on the monitoring interface; Displaying the measurement data of the at least one physiological sign parameter in the measurement data display area of ​​the monitoring interface, and displaying the distribution statistics result in the distribution statistics dedicated display area of ​​the monitoring interface; Providing a selection operation control in the distribution statistics dedicated display area, wherein the selection operation control provides options for multiple parameter value partitions; In response to an instruction of selecting a parameter value partition input by a user through the selection operation control, the distribution statistics result corresponding to the selected parameter value partition is displayed in the distribution statistics dedicated display area.

2. The method according to claim 1, characterized in that Also includes: A distribution statistics chart is generated according to the parameter value partitions and the distribution statistics results, and the distribution statistics chart is displayed in the distribution statistics dedicated display area.

3. The method according to claim 2, characterized in that: The distribution statistics chart is a histogram with the parameter value partition and the statistical result as two coordinate axes; or, The distribution statistics chart is a statistical table with the parameter value partition as the table header and the statistical results as the content.

4. The method according to claim 1, characterized in that: The data within the preset time length includes: data obtained by continuous measurement or intermittent measurement between any two time points.

5. The method according to claim 1, characterized in that: The distribution statistics result is: the number or number ratio of the physiological sign parameters in the data within a preset time length that falls into the numerical intervals corresponding to the parameter value partitions.

6. The method according to claim 1, characterized in that Also includes: The non-treatment target partition is output and displayed in a first display style, and the treatment target partition is output and displayed in a second display style different from the first display style.

7. The method according to claim 1, characterized in that Also includes: determining a target condition from the at least one parameter value partition according to the setting information; Determine a display style for the statistical result corresponding to the target condition that is different from other statistical results; Based on the display style, the distribution statistics result is displayed in a distribution statistics dedicated display area of ​​the monitoring interface.

8. The method according to claim 1, characterized in that Also includes: Generate a corresponding waveform graph and / or trend graph according to the data within a preset time length of the at least one physiological sign parameter; The waveform graph and / or trend graph is displayed in the measurement data display area.

9. The method according to claim 1, characterized in that: Also includes: Generate a corresponding trend graph and / or trend table according to the data within a preset time length of the at least one physiological sign parameter; A trend display area is generated on the monitoring interface, and a trend graph and / or trend table of the at least one physiological sign parameter is displayed in the trend display area.

10. The method according to claim 9, characterized in that Also includes: In response to an instruction input by a user, the trend graph or the trend table displayed in the trend display area is switched to another one.

11. The method according to claim 9, characterized in that Also includes: In response to a preset trigger condition, refreshing the trend graph and / or trend table displayed in the third area; or, After determining that the measurement data of the physiological sign parameter is updated, the distribution statistics result is synchronously refreshed, and / or the trend graph and / or trend table is synchronously refreshed.

12. The method according to claim 9, characterized in that Also includes: monitoring the parameter value of the physiological sign parameter in the trend table, and if the parameter value exceeds the corresponding parameter threshold, displaying the parameter value based on a preset display style; or, monitoring the parameter values ​​of the physiological sign parameters in the trend table, and if the alarm information associated with the parameter value is monitored, displaying the parameter value based on a preset display style; or, The trend graph is displayed in a display style that can distinguish normal and abnormal parameter values ​​of physiological sign parameters in the trend graph.

13. The method according to claim 1, characterized in that Also includes: The measurement data of the physiological sign parameter is monitored, and if the measurement data exceeds a corresponding parameter threshold, the measurement data is displayed in the measurement data display area based on a preset display style.

14. The method according to claim 1, characterized in that Also includes: In response to a selection instruction input by a user through the selection operation control, a value of the preset time length to be displayed in the distribution statistics dedicated display area is determined.

15. A monitoring information display device, characterized in that: include: A measurement data acquisition module, which acquires measurement data of at least one physiological sign parameter of a monitored object, wherein the measurement data of the physiological sign parameter is obtained from the monitored object via at least one physiological sign sensor; A data acquisition module, for acquiring data of the at least one physiological sign parameter within a preset time length; A statistical result obtaining module, which performs distribution statistics on the data within the preset time length based on at least one parameter value partition, and determines the distribution statistical result corresponding to the parameter value partition; The parameter value partition represents a numerical range of the physiological sign parameter; the at least one parameter value partition is pre-set, and the at least one parameter value partition includes one or more treatment target partitions for supporting the determination of the physiological state of the monitored object, and the treatment target partition corresponds to the numerical range of the treatment target value of the physiological sign parameter; A display module, providing a monitoring interface, displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of ​​the monitoring interface, and displaying the distribution statistics result in a distribution statistics dedicated display area of ​​the monitoring interface; Providing a selection operation control in the distribution statistics dedicated display area, wherein the selection operation control provides options for multiple parameter value partitions; In response to an instruction of selecting a parameter value partition input by a user through the selection operation control, the distribution statistics result corresponding to the selected parameter value partition is displayed in the distribution statistics dedicated display area.

16. A monitoring device, characterized in that: include: a display configured to display information; A processor, wherein the processor executes program instructions to implement the steps of the monitoring information display method described in any one of claims 1-14.

17. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is loaded and executed by the processor, the monitoring information display method described in any one of claims 1 to 14 is implemented.

18. A monitoring information display method, characterized in that: include: Acquiring data of at least one physiological sign parameter of the monitored object within a preset time length, wherein the data of at least one physiological sign parameter of the monitored object within the preset time length is obtained from the monitored object via at least one physiological sign sensor; Performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistics result corresponding to the parameter value partition; The parameter value partition represents the numerical range of the physiological sign parameter; The at least one parameter value partition is preset, and the parameter value partition is determined based on one or more of an alarm threshold, a baseline range, and a treatment target range corresponding to the physiological sign parameter; Providing a monitoring interface and generating a dedicated display area for distribution statistics on the monitoring interface; Displaying the distribution statistics results in a distribution statistics dedicated display area of ​​the monitoring interface; Providing a selection operation control in the distribution statistics dedicated display area, wherein the selection operation control provides options for multiple parameter value partitions; In response to an instruction of selecting a parameter value partition input by a user through the selection operation control, the distribution statistics result corresponding to the selected parameter value partition is displayed in the distribution statistics dedicated display area.

19. The method according to claim 18, characterized in that Also includes: Acquiring measurement data of at least one physiological sign parameter of the monitored subject; Generating a measurement data display area on the monitoring interface; The measurement data of the at least one physiological sign parameter is displayed in the measurement data display area of ​​the monitoring interface.

20. The method according to claim 18, characterized in that A distribution statistics chart is generated according to the parameter value partitions and the distribution statistics results, and the distribution statistics chart is displayed in the distribution statistics dedicated display area.

21. The method according to claim 18, characterized in that: The distribution statistics chart is a histogram with the parameter value partition and the statistical result as two coordinate axes; or, The distribution statistics chart is a statistical table with the parameter value partition as the table header and the statistical results as the content.

22. The method according to claim 18, characterized in that: The data within the preset time length includes: data obtained by continuous measurement or intermittent measurement between any two time points.

23. The method according to claim 18, characterized in that: The distribution statistics result is: the number or number ratio of the physiological sign parameters in the data within a preset time length that falls into the numerical intervals corresponding to the parameter value partitions.

24. The method according to claim 18, characterized in that Also includes: determining a target condition from the at least one parameter value partition according to the setting information; Determine a display style for the statistical result corresponding to the target condition that is different from other statistical results; Based on the display style, the distribution statistics result is displayed in a distribution statistics dedicated display area of ​​the monitoring interface.

25. The method according to claim 19, characterized in that Also includes: Generate a corresponding waveform graph and / or trend graph according to the data within a preset time length of the at least one physiological sign parameter; The waveform graph and / or trend graph is displayed in the measurement data display area.

26. The method according to claim 18, characterized in that Also includes: Generate a corresponding trend graph and / or trend table according to the data within a preset time length of the at least one physiological sign parameter; A trend display area is generated on the monitoring interface, and a trend graph and / or trend table of the at least one physiological sign parameter is displayed in the trend display area.

27. The method according to claim 26, characterized in that Also includes: In response to an instruction input by a user, the trend graph or the trend table displayed in the trend display area is switched to another one.

28. The method according to claim 26, characterized in that Also includes: In response to a preset trigger condition, refreshing the trend graph and / or trend table displayed in the third area; or, After determining that the measurement data of the physiological sign parameter is updated, the distribution statistics result is synchronously refreshed, and / or the trend graph and / or trend table is synchronously refreshed.

29. The method according to claim 18, characterized in that Also includes: In response to a selection instruction input by a user through the selection operation control, a value of the preset time length to be displayed in the distribution statistics dedicated display area is determined.

30. A monitoring device, characterized in that: include: a display configured to display information; A processor, wherein the processor executes program instructions to implement the steps of the monitoring information display method described in any one of claims 18-29.

31. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is loaded and executed by the processor, the monitoring information display method described in any one of claims 18 to 29 is implemented.

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