Monitoring device, monitoring information display method and apparatus

Abstract

The application provides a monitoring information display method, obtaining measurement data of at least one physiological parameter of a monitoring object, the measurement data of the physiological parameter being obtained from the monitoring object by at least one physiological parameter sensor; obtaining data of the at least one physiological 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 value interval of the physiological parameter; providing a monitoring interface, and generating a measurement data display area and a distribution statistics special display area on the monitoring interface; displaying the measurement data of the at least one physiological parameter on the measurement data display area of the monitoring interface, and displaying the distribution statistics result on the distribution statistics special display area of the monitoring interface.

Description

[0001] This application is a divisional application of the invention patent application filed on August 28, 2018, with application number 201880094432.X and title "Monitoring Equipment, Monitoring Information Display Method and Apparatus". Technical Field

[0002] This application relates to the field of monitoring equipment technology, and more specifically, to monitoring equipment, monitoring information display methods and devices. Background Technology

[0003] In the medical field, monitoring a patient's physical condition is essential. Specifically, monitoring equipment uses various measurement modules to monitor a patient's vital signs and parameters. These parameters are provided to medical staff so they can determine whether the patient's condition is normal or abnormal. If abnormalities are detected, medical staff must promptly implement appropriate rescue measures to restore the patient's condition to normal.

[0004] Therefore, a technical solution is needed to display the monitored physiological parameters as a basis for medical staff to judge the patient's physical condition. Summary of the Invention

[0005] Firstly, this application provides a method for displaying guardianship information, including:

[0006] The measurement data of at least one physiological sign parameter of the monitored object are obtained from the monitored object through at least one physiological sign sensor.

[0007] Acquire data of at least one physiological sign parameter within a preset time period;

[0008] Based on at least one parameter value partition, the data within the preset time length is statistically analyzed for distribution, and the statistical results corresponding to the parameter value partition are determined; the parameter value partition represents the numerical range of the physiological sign parameter.

[0009] A monitoring interface is provided, and a measurement data display area and a distribution statistics dedicated display area are generated on the monitoring interface;

[0010] 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 results are displayed in the distribution statistics dedicated display area of ​​the monitoring interface.

[0011] Secondly, this application provides a monitoring information display device, comprising:

[0012] The measurement data acquisition module 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 through at least one physiological sign sensor;

[0013] The data acquisition module acquires data of the at least one physiological sign parameter within a preset time period;

[0014] The statistical results acquisition module performs distribution statistics on the data within the preset time length based on at least one parameter value partition, and determines the distribution statistics results corresponding to the parameter value partition; the parameter value partition represents the numerical range of the physiological sign parameter;

[0015] The display module provides a monitoring interface, which 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 results in the dedicated distribution statistics display area of ​​the monitoring interface.

[0016] Thirdly, this application also provides another method for displaying guardianship information, including:

[0017] Data on at least one physiological characteristic parameter of the monitored object within a preset time period are obtained, wherein the data on at least one physiological characteristic parameter of the monitored object within the preset time period are obtained from the monitored object through at least one physiological characteristic sensor;

[0018] The data within the preset time period is statistically analyzed based on at least one parameter value partition, and the statistical results corresponding to the parameter value partition are determined; the parameter value partition represents the numerical range of the physiological sign parameter; the numerical range is determined based on one or more of the alarm threshold, baseline range, and treatment target range corresponding to the physiological sign parameter;

[0019] Provide a monitoring interface, and generate a dedicated display area for distribution statistics on the monitoring interface;

[0020] The distribution statistics results are displayed in the dedicated display area for distribution statistics on the monitoring interface.

[0021] Fourthly, this application provides a monitoring device, comprising:

[0022] The display is configured to display information;

[0023] A processor that executes program instructions to implement the steps of the monitoring information display method provided in the first or second aspect of this application.

[0024] Fifthly, this application provides a readable storage medium having a computer program stored thereon, which, when loaded and executed by a processor, implements the monitoring information display method provided in accordance with the first or second aspect of this application. Attached Figure Description

[0025] 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.

[0026] Figure 1 This is a flowchart illustrating a method for displaying monitoring information.

[0027] Figure 2A-2G Various schematic diagrams for monitoring the interface;

[0028] Figure 3 This is a schematic diagram of the structure of a monitoring information display device;

[0029] Figure 4 This is a schematic diagram of the hardware structure of a patient monitor. Detailed Implementation

[0030] 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 skilled in the art without creative effort are within the scope of protection of this application.

[0031] In the medical field, it is often necessary to monitor the physiological state of certain patients. Therefore, it is essential to monitor patients' vital signs and display them to medical staff. When medical staff detect abnormalities in patients based on these vital signs, they can promptly provide assistance.

[0032] This application provides a method for displaying monitoring information, which can be applied to various monitoring devices. See [link / reference]. Figure 1 One method for displaying monitoring information includes the following steps 1.1-1.5.

[0033] Step 1.1: Obtain measurement data of at least one physiological parameter of the monitored subject. Specifically, the measurement data of the physiological parameter can be the data measured at the moment of the test.

[0034] The monitored object can be a patient or an object with other monitoring needs, and the physiological signs parameters are obtained from the monitored object through measurement data from at least one physiological sign sensor.

[0035] Using accessory devices for vital signs (such as pulse oximeters), measurement data of the physiological vital signs parameters of the monitored subject can be collected, and the measurement data can be stored in a memory. It should be noted that this application can obtain the measurement data of physiological vital signs parameters from the memory or directly from the acquisition module.

[0036] Therefore, the monitoring information method provided in this application can be applied not only to bedside devices but also to a central station. When applied to bedside devices, the measurement data of physiological signs and parameters are obtained through various accessory devices for physiological signs and parameters; when applied to a central station, the central station obtains the measurement data of physiological signs and parameters from the bedside devices via a network.

[0037] Step 1.2: Obtain data of at least one physiological sign parameter within a preset time period.

[0038] In addition to observing the real-time physiological state of the monitored subjects, the monitoring needs also require understanding their historical physiological state. Combining the two can provide medical staff with richer diagnostic information. Therefore, it is also necessary to obtain data on the physiological signs and parameters of the monitored subjects within a preset time period.

[0039] Understandably, the preset time period for physiological signs and parameters contains a large amount of data, and not all of this data is relevant to the current diagnosis. Based on actual monitoring needs, a preset time period can be set to specify which timeframes of data are required. For ease of description, this set time period can be referred to as the preset time period.

[0040] It should be noted that the form of the preset time length is not limited; it can be a continuous historical period or multiple discontinuous historical time points. That is, the data within the preset time length can be data continuously measured between any two time points.

[0041] The preset time length can be pre-set by the system or selected by the user. Specifically, an input window can be provided on the monitoring interface for the user to input setting instructions. For example, a drop-down list can be provided to offer preset time length options, allowing the user to select an option. In response to the user's input setting instructions, the user-set time length is used as the preset time length.

[0042] Step 1.3: Perform distribution statistics on the data within a preset time period based on at least one parameter value partition, and determine the distribution statistics results corresponding to the parameter value partition. The parameter value partition represents the numerical range of physiological sign parameters.

[0043] To facilitate observation, data within a preset time period needs to be analyzed and processed before display. One method of analysis and processing is to classify the data within the preset time period, that is, to pre-set parameter value partitions and then perform statistical analysis on the data within the preset time period according to the parameter value partitions. It should be noted that the parameter value partitions can be time segments, segments of data value ranges within the preset time period, a combination of both, or other segmentation conditions.

[0044] If the parameter value is partitioned into multiple partitions, each partition will receive its own distribution statistics after statistical analysis. Alternatively, a single parameter value partition can be used, and statistics will only be performed on the data falling within that partition across all data within a preset time period. For example, only the statistical histogram of the target parameter value partition can be displayed.

[0045] The data values ​​within a preset time period may be numerous and varied. By displaying the data within the preset time period in segments, medical staff can understand the changes in the data within the preset time period by comparing the distribution statistics of different parameter value segments.

[0046] Step 1.4: Provide a monitoring interface, and generate a measurement data display area and a distribution statistics display area on the monitoring interface.

[0047] 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 results in the dedicated distribution statistics display area of ​​the monitoring interface.

[0048] The monitor of the monitoring device provides a monitoring interface. The monitoring interface can be the entire monitoring interface of the monitoring device monitor, or it can be a window embedded in or floating on the entire monitoring interface of the monitor.

[0049] The measured data of the physiological signs and the data within a preset time period obtained above are displayed in different areas of the monitoring interface. The area where the measured data is displayed is called the measurement data display area, and the area where the distribution statistics of the data within the preset time period are displayed is called the distribution statistics dedicated display area.

[0050] In one embodiment, the measurement data display area and the distribution statistics display area can be linked, appearing simultaneously on the monitoring interface and disappearing from it at the same time. This linking relationship can be reflected in their display positions; for example, the measurement data display area and the distribution statistics display area can be adjacent to each other on the monitoring interface.

[0051] It should be noted that there can be one or more physiological parameters. If there are multiple physiological parameters, the measurement data display area can be divided into multiple sub-areas to display the measurement data of different types of physiological parameters. 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 parameters.

[0052] Furthermore, if the measured data of a physiological sign parameter and / or the data within a preset time period exceed the alarm threshold corresponding to that physiological sign parameter, the display style corresponding to the alarm can be used when displaying the distribution statistics of the measured data and / or the data within the preset time period. That is, when monitoring the measured data of a physiological sign parameter, if the measured data exceeds the corresponding parameter threshold, the measured data is displayed in the measurement data display area based on a preset alarm display style. The alarm display style can be any pre-set display style that differs from the normal display style.

[0053] Furthermore, the distribution statistics results displayed in the dedicated distribution statistics display area can be user-defined. Specifically, the dedicated distribution statistics display area provides selection operation controls; and responds to the user's selection instructions input through the selection operation controls to determine the distribution statistics results of the physiological signs parameters to be displayed in the dedicated distribution statistics display area, as well as the preset time length value. For example, the selection operation controls can provide options for multiple parameter value partitions; the user can select a parameter value partition, and the dedicated distribution statistics display area will only display the distribution statistics results corresponding to the selected parameter value partition. The selection operation controls can also include a time input sub-control to allow the user to input a preset time length value. Furthermore, parameter selection operation controls for physiological signs parameters can also be provided, responding to the user's selection instructions input through these controls to determine which physiological signs parameters are being monitored.

[0054] The statistical results of data distribution within a preset time period can be displayed in text form or in the form of a distribution chart. Specific display methods are detailed below and will not be elaborated upon here.

[0055] As can be seen from the above technical solutions, this application provides a method for displaying monitoring information. This method can obtain measurement data of the physiological signs and parameters of the monitored subject, as well as data of the physiological signs and parameters within a preset time period. The data within the preset time period is statistically analyzed according to parameter value partitions to obtain distribution statistics. The measurement data and distribution statistics are then displayed in different areas of the monitoring interface. From the monitoring interface, medical personnel can view both the current status of the monitored subject's physiological signs and parameters and the distribution statistics of these parameters. These two aspects of information provide medical personnel with richer evidence to judge the physiological state of the monitored subject. Furthermore, the data within the preset time period is displayed in partitions according to different parameter values, allowing medical personnel to easily determine the changes in the monitored subject's physiological signs and parameters through comparison.

[0056] The following describes several specific implementation forms of the monitoring interface. In different monitoring interfaces, the display methods of the measurement data and distribution statistics of physiological signs and parameters are different.

[0057] In one implementation, after obtaining the distribution statistics results, a distribution statistics chart can be generated based on the parameter values ​​and the distribution statistics results, and then displayed in a dedicated display area for distribution statistics. The distribution statistics chart can include statistical graphs such as pie charts, histograms, etc., or it can include statistical tables.

[0058] One specific way to implement distribution charts is through histograms, which are histograms that use parameter values ​​as partitions and distribution statistics as the two axes. Histograms can also be called statistical histograms.

[0059] In this context, one form of parameter value partitioning is the numerical range of physiological characteristic parameters. The distribution statistics result is the number or ratio of data points within each numerical range that fall within a preset time period. Of course, this parameter value partitioning and distribution statistics result can also be applied to other forms of distribution charts.

[0060] In this context, the data within a preset time period for physiological parameters includes data obtained from continuous or intermittent measurements between any two time points. For example, data obtained from continuous or intermittent measurements between the current time point and a historical time point. Of course, this data within a preset time period can also be applied to other forms of segmented statistics.

[0061] See Figure 2A This shows an example of a monitoring interface. For example... Figure 2AAs shown, the physiological parameter displayed on this monitoring interface is blood oxygen saturation (SpO2). The monitoring interface includes a measurement data display area 201 and a dedicated distribution statistics display area 202. Measurement data display area 201 displays the measured blood oxygen saturation data (93%), while the dedicated distribution statistics display area 202 displays a histogram of blood oxygen saturation. The histogram is obtained by segmenting and statistically analyzing the blood oxygen saturation data within a preset time period. As indicated in the histogram description, the data within the preset time period refers to data measured within 24 hours (h) prior to the current time point. It should be noted that the time period can be set by the user, such as... Figure 2A The downward triangle icon in the image allows users to select the duration of the time period by clicking on it.

[0062] The horizontal axis of the histogram represents the four parameter ranges of blood oxygen saturation: [0-80%], [81%-90%], [91%-95%], and [96%-100%]. The vertical axis represents the ratio of blood oxygen saturation within each parameter range to the total data within a preset time period. By observing the histogram, medical staff can understand the blood oxygen saturation statistics (SpO2 statistic) of the monitored subjects over the past 24 hours as follows: 5% of the data had a blood oxygen saturation value less than 80%; 15% had a blood oxygen saturation value greater than 81% but less than 90%; 70% had a blood oxygen saturation value greater than 91% but less than 95%; and 10% had a blood oxygen saturation value greater than 96% but less than 100%.

[0063] It should be noted that in practical applications, the generation of histograms is not limited to blood oxygen saturation alone. Histograms can also be generated for other types of physiological parameters, in addition to blood oxygen saturation histograms. Alternatively, histograms can be generated for other types of physiological parameters without including blood oxygen saturation.

[0064] in addition, Figure 2A In the monitoring interface shown, the measurement data displayed in measurement data display area 201 is not limited to blood oxygen saturation; it can also include other types of physiological parameters. Alternatively, the measurement data display area can be divided into multiple sub-areas, with one sub-area displaying blood oxygen saturation measurement data and other areas displaying other types of physiological parameters.

[0065] Another specific way to implement distribution charts is through statistical tables, specifically tables that use parameter value partitions as headers and statistical results as content. Similar to the histograms mentioned above, statistical tables show the distribution statistics for each parameter value partition. However, unlike the histograms, the parameter value partitions and distribution statistics are not related by x-axis and y-axis. Instead, the parameter value partitions are used as headers (column attributes), and the distribution statistics are used as records within the table.

[0066] by Figure 2A Taking a histogram as an example, each parameter range can be treated as a column attribute, and the value corresponding to each column attribute represents the proportion of quantities within that parameter range. Each proportion forms a record in the statistical table. This record shows the distribution statistics under different parameter value partitions.

[0067] As can be seen from the examples above, the distribution statistics chart is a relatively standardized and simple display method, making it easy for medical staff to view and understand.

[0068] It should be noted that the distribution statistics may correspond to multiple parameter value partitions, and one or more of these partitions may have special significance relative to the others. This special significance can specifically mean that it can provide guidance for medical personnel in assessing the physiological state of the monitored subject. For ease of description, this parameter value partition with special significance can be called the target parameter value partition. The target parameter value partition can be a partition corresponding to normal conditions, a partition corresponding to abnormal conditions, or a partition representing the parameter values ​​desired after medical treatment (where the partition representing the parameter values ​​desired after treatment can be called the treatment target partition, and the other partitions can be called the non-treatment target partitions). The specific parameter value partition(s) designated as the target parameter value partition can be preset by the system or selected by the user.

[0069] To differentiate between target parameter value partitions, a different display style can be used for the target parameter value partitions and / or the corresponding distribution statistics. Figure 2A Taking the blood oxygen saturation statistics shown as an example, if the treatment target zone is [91%]-95%], then the background color will be filled for this parameter range. Of course, the display method is not limited to color; it can also be differentiated by adding icons or symbols.

[0070] Alternatively, to facilitate medical staff in analyzing abnormal or normal values ​​in the results, target conditions can be pre-set in the parameter value partitions. The distribution statistics corresponding to the target conditions can then be displayed in different ways. Specifically, target conditions can indicate whether physiological parameters are within a normal or abnormal range, alerting medical staff to the normal or abnormal state of the monitored subject. Of course, target conditions can also be a custom range of time that medical staff want to focus on.

[0071] Therefore, the monitoring information display method may further include: determining a target condition from at least one parameter value partition based on setting information; and determining a display style for the distribution statistics result corresponding to the target condition that is different from other distribution statistics results. In this way, when displaying the distribution statistics result, the distribution statistics result can be displayed in the dedicated distribution statistics display area of ​​the monitoring interface based on the display style.

[0072] Furthermore, to provide medical staff with more information to access, the monitoring information display method can, in addition to displaying the measurement data of physiological signs and parameters, also display the corresponding trend graphs and / or waveform graphs of the physiological signs and parameters.

[0073] Specifically, the system generates corresponding waveforms and / or trend graphs based on data from at least one physiological parameter over a preset time period; and displays the waveforms and / or trend graphs within the measurement data display area. For example, for blood oxygen measurement, a waveform of blood oxygen saturation or a blood oxygen saturation trend graph (a graph depicting blood oxygen saturation values ​​obtained through continuous measurements over a period of time) can be displayed in the measurement data display area. Specifically, measurement data and waveforms / trend graphs corresponding to the same physiological parameter can be displayed close together.

[0074] The forms of the graphs (waveforms and / or trend graphs) corresponding to different types of physiological signs and parameters are different. In order to display the graphs of physiological signs and parameters within the measurement data display area, the measurement data display area can be divided into multiple sub-areas, one of which displays the measurement data of physiological signs and parameters, and another of which displays the graphs of physiological signs and parameters.

[0075] See Figure 2B This illustrates yet another example of a monitoring interface. For example... Figure 2BAs shown, the monitoring interface displays three physiological parameters: oxygen saturation (SpO2), pulse rate (PR), and perfusion index (PI). The interface includes a measurement data display area 211 and a dedicated distribution statistics display area 212. The measurement data display area 211 displays the measurement data for the three physiological parameters: oxygen saturation (SpO2), pulse rate (PR), and perfusion index (PI), which are 93%, 120 bpm, and 0.5, respectively. It should be noted that because the perfusion index of 0.5 exceeds the alarm threshold, this measurement data is displayed according to the alarm format. Figure 2B As shown, alarm styles include numerical inversion and background color addition. The dedicated display area 212 for distribution statistics shows a statistical histogram of blood oxygen saturation.

[0076] The measurement data display area 211, in addition to containing the measurement data of the three physiological signs mentioned above, also includes plethography waves related to blood oxygen saturation. The measurement data display area can be divided into four sub-areas: three sub-areas are used to display the measurement data of the three physiological signs mentioned above, and the other sub-area is used to display the plethography waves.

[0077] Alternatively, multiple physiological parameters can be visualized graphically, and the graphical representations of different physiological parameters can be displayed separately within the sub-regions where the measurement data of the physiological parameters are located.

[0078] See Figure 2C This illustrates yet another example of a monitoring interface. For example... 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 blood oxygen saturation measurement data of 93%, the pulse rate (PR) measurement data of 120 bpm, and the perfusion index (PI) measurement data of 0.5. The distribution statistics display area 222 displays a statistical histogram of blood oxygen saturation.

[0079] It should be noted that the measurement data in region 221, in addition to the measurement data of three physiological parameters—spO2 (oxygen saturation), PR (pulse rate), and PI (perfusion index)—also includes graphical representations of these three physiological parameters. Specifically, the graphical representations include: a plethysmogram and its trend graph, a trend graph for PR, and a trend graph for PI.

[0080] The trend graph may include the normal range of physiological parameters, which can be indicated using shading and numerical values. For example... Figure 2CAs shown, according to the numerical scale, the normal range of SpO2 is 91%-95%, the normal range of PR is 100bpm-200bpm, and the normal range of PI is above 1.0.

[0081] It should be noted that, Figure 2C Other information, such as the distribution statistics dedicated display area 222 included, can be found above. Figure 2A and Figure 2B The explanations in the text are not repeated here.

[0082] In another implementation, the trend chart can be displayed not only in the measurement data display area but also in a trend display area different from the measurement data display area and the dedicated distribution statistics display area. Specifically, a corresponding trend chart and / or trend table is generated based on data from at least one physiological characteristic parameter within a preset time period; and the trend chart and / or trend table of at least one physiological characteristic parameter is displayed in the trend display area of ​​the monitoring interface.

[0083] In addition to the measurement data display area and the distribution statistics display area, the monitoring interface can also be divided into a trend display area, which is used to display trend graphs. Trend graphs are generated from data within a preset time period of physiological vital signs. It should be noted that if there are multiple types of physiological vital signs, there will be multiple trend graphs accordingly. Different physiological vital signs correspond to different trend graphs, and multiple trend graphs can be arranged vertically, side-by-side, or in other ways. Furthermore, trend graphs / trend tables can be refreshed, meaning they are refreshed in response to preset trigger conditions. The trigger condition can be a time condition, where data within a preset time period after the refresh is obtained, and a new trend graph is generated and displayed based on the data within the refreshed preset time period. The trigger condition can also be a confirmed update of the measurement data for a corresponding physiological vital sign; for example, after a confirmed update of the measurement data for a corresponding physiological vital sign, the trend graph / trend table displayed in the trend display area is refreshed simultaneously. Of course, after a confirmed update of the measurement data for a corresponding physiological vital sign, the distribution statistics results displayed in the dedicated distribution statistics display area can also be refreshed simultaneously.

[0084] See Figure 2D This shows another example of a monitoring interface. For example... Figure 2DAs shown, the monitoring interface displays three physiological parameters: 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 display area 232, and a trend display area 233. The measurement data display area 221 shows the blood oxygen saturation measurement data (93%), the pulse rate (PR) measurement data (120 bpm), and the perfusion index (PI) measurement data (0.5). The distribution statistics display area 232 shows a statistical histogram of blood oxygen saturation.

[0085] The trend display area 233, from top to bottom, contains trend graphs for three physiological parameters: blood oxygen saturation (SpO2), pulse rate (PR), and perfusion index (PI). Of course, the arrangement of these three trend graphs is not limited to this; the vertical order can be arbitrary, or other arrangements are also possible.

[0086] In addition, the three trend charts were generated from data within a preset time period for the three physiological parameters. As can be seen from the -2h (hours) and -1h (hours) charts, the data within the preset time period are the data measured within 2 hours before the current time point 0.

[0087] It should be noted that, Figure 2D For other regional information included, please refer to the above. Figure 2A-2C The explanations in the text are not repeated here.

[0088] Regarding the trend table.

[0089] The header of a trend table contains parameter value partitions, and the records in the table represent the distribution statistics under a certain parameter value partition.

[0090] See Figure 2E This shows another example of a monitoring interface. For example... Figure 2E As shown, the monitoring interface displays three physiological parameters: 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 shows the blood oxygen saturation measurement data (93%), the pulse rate (PR) measurement data (120 bpm), and the perfusion index (PI) measurement data (0.5). The distribution statistics display area 242 shows a statistical histogram of blood oxygen saturation.

[0091] The trend display area 243 shows a trend table of SpO2 (spO2), PR (pulse rate), and PI (perfusion index). The trend table represents the parameter values ​​of SpO2, PR, and PI at multiple different historical time points. The time points are 6:30, 7:00, 7:30, 8:00, 8:30, 9:00, and 9:30, with a fixed interval of 30 minutes between each historical time point. However, the interval can be other values ​​and is not limited to this. It should be noted that... Figure 2E The time points in the table are sorted from top to bottom, with each point representing the point further away from the current time. Of course, the time points can be sorted in reverse, with each point representing the point closer to the current time.

[0092] Of course, historical time points can also be other forms of time points within a past period. It should be noted that historical time points can have selection criteria, such as those mentioned above. Figure 2E As shown, the time points are the hourly times and the 30-minute intervals within each hour. The cutoff time for historical time points can be the closest time point to the current time point that meets the above selection criteria. For example, if the current time point is 9:40, Figure 2E The most recent time point obtained is 9:30.

[0093] During the execution of this method, the defined preset time length can change over time. Therefore, the data obtained within the preset time length will change, and consequently, the displayed distribution statistics results can be refreshed. The refresh interval can be set by the user. Figure 2E For example, assuming the current time changes from 9:40 to 10:01, the data for SpO2, PR, and PI within a preset time period from 10:00 can be obtained and displayed in the first row. Correspondingly, the SpO2, PR, and PI data for the last row at 6:30 can be omitted, displayed on another screen, or continued to be displayed.

[0094] The number of records displayed in the trend table can be a preset fixed value, or it can be set to a value indicated by the user's settings. If multiple statistical records cannot be displayed simultaneously, they can be displayed on multiple screens, and users can view other statistical records contained in other screens through touch operations.

[0095] It should be noted that trend charts and trend tables are two different types of trend representations, and which type can be preset to be displayed in the trend display area. Alternatively, trend charts and trend tables can be switched between each other, triggered by a user-initiated command. Specifically, in response to a user-input command, the trend chart or trend table displayed in the trend display area will be switched to the other.

[0096] In one example, the monitoring device may provide buttons, such as physical buttons or virtual buttons displayed on the screen, which the user can trigger to select whether to display a trend graph or a trend table.

[0097] In another example, when the monitoring device's display screen has touch functionality, input commands can be made by swiping on the screen, such as swiping left or right, or swiping up or down. To facilitate accurate switching of swipe commands, the trend display area can also include prompt icons to indicate to the user which direction to swipe to trigger the display of another trend chart.

[0098] like Figure 2F As shown, the monitoring device's display screen includes a monitoring interface. The trend display area of ​​the monitoring interface currently shows a trend chart. Below the trend chart are two circular icons; the left circular icon is darker, and the right circular icon is lighter, indicating that the left trend chart is currently displayed. To trigger the display of the other trend chart, the user needs to swipe right. Based on the prompt, when the user swipes right on the display screen, the content displayed in the trend display area changes from a trend chart to a trend graph. Simultaneously, the circular icons change, with the left circular icon becoming lighter and the right circular icon becoming darker. Of course, the reverse direction can also be used to switch from a trend graph to a trend chart.

[0099] Assuming the trend chart and trend table are respectively Figure 2D and Figure 2E The style in the image is based on the above operation of switching the trend table to a trend chart. The entire monitoring interface can be configured as follows: Figure 2E The style is switched to Figure 2D The style.

[0100] It should be noted that switching operation methods not only makes it convenient for medical staff to view different forms of trend charts, but also saves the area occupied by the trend display area on the monitoring interface.

[0101] When the monitoring interface includes a trend table or trend graph, alerts can also be provided for abnormal situations in the trend table or trend graph. Specifically, if the parameter value of the physiological sign parameter in the monitoring trend table exceeds the corresponding parameter threshold, the parameter value is displayed according to a preset display style; or, if an alarm message associated with the parameter value is detected, the parameter value is displayed according to a preset display style; or, a display style that can distinguish between normal and abnormal parameter values ​​in the trend table can be used to display the trend table.

[0102] Alarm information can be based on alarm conditions defined by abnormal physiological states. If a physiological parameter triggers an alarm, that parameter value needs to be displayed. For example, alarm information related to blood oxygen saturation may include low blood oxygen saturation; if a certain blood oxygen saturation parameter triggers a low blood oxygen saturation alarm, that parameter value needs to be displayed. Similarly, alarm information related to pulse rate may include bradycardia, extreme bradycardia, or hypocardia; if a certain pulse rate parameter triggers any of these alarms, that pulse rate can be displayed.

[0103] by Figure 2E For example, if a physiological parameter in a record in the trend table exceeds the corresponding threshold, or triggers a related alarm, its font color can be set to be different from that of other records, or a background color can be added to that record. Similarly, the curves corresponding to normal and abnormal physiological parameter values ​​in the trend chart can be distinguished using different colors. Of course, the display style is not limited to color; it can also be differentiated by adding background patterns, icons, and other methods.

[0104] It should be noted that the various forms of illustrations mentioned above can be combined and displayed in any way. For example, Figure 2A , Figure 2B or Figure 2C This can be combined with trend tables or trend charts. See [link / reference]. Figure 2G This illustrates yet another example of a monitoring interface. For example... 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. The measurement data display area 251 contains measurement data for three physiological parameters: SpO2 (oxygen saturation), PR (pulse rate), and PI (perfusion index). Specifically, the SpO2 measurement is 93%, the PR measurement is 120 bpm (beats per minute), and the PI measurement is 0.5. The distribution statistics display area 252 displays a histogram of oxygen saturation. The trend display area 253 displays a trend table for SpO2, PR, and PI.

[0105] It should be noted that, Figure 2G Other information included can be found in the above illustrations and will not be repeated here. Additionally, in the illustrations related to the monitoring interface, the measurement data display area also includes a status indicator. This status indicator contains multiple parameter value partitions and an indicator marker, which indicates the parameter value partition to which the measurement data belongs.

[0106] The following describes the device embodiments related to the monitoring information display method. For the description of the device, please refer to the above method embodiment section, which will not be repeated below.

[0107] This application also provides another method for displaying monitoring information. It should be noted that some specific implementations of this monitoring information display method are the same as or similar to the monitoring information display method provided in the above embodiments. Only a brief description of this monitoring information display method is provided below. It should be understood that those skilled in the art can apply the relevant technical solutions here based on the above description.

[0108] The methods for displaying this monitoring information include:

[0109] Data on at least one physiological characteristic parameter of the monitored object within a preset time period are obtained, wherein the data on at least one physiological characteristic parameter of the monitored object within the preset time period are obtained from the monitored object through at least one physiological characteristic sensor;

[0110] The data within the preset time period is statistically analyzed based on at least one parameter value partition, and the statistical results corresponding to the parameter value partition are determined; the parameter value partition represents the numerical range of the physiological sign parameter; the numerical range is determined based on one or more of the alarm threshold, baseline range, and treatment target range corresponding to the physiological sign parameter;

[0111] Provide a monitoring interface, and generate a dedicated display area for distribution statistics on the monitoring interface;

[0112] The distribution statistics results are displayed in the dedicated display area for distribution statistics on the monitoring interface.

[0113] In one embodiment, the alarm threshold can be a numerical range corresponding to critical alarm, intermediate alarm, etc.; the baseline range can refer to the normal numerical range of the physiological signs of the monitored object; the treatment target range can refer to the numerical range of the physiological signs of the monitored object that the medical staff want to treat, so that the physiological signs of the monitored object will reach after treatment.

[0114] In this embodiment, the distribution statistics do not simply divide the physiological sign data of the monitored subject into intervals. Instead, it determines the numerical intervals based on alarm thresholds, baseline ranges, and treatment target ranges, and performs distribution statistics on the data within a preset time period. The resulting distribution statistics allow medical staff to intuitively understand the distribution of the monitored subject's physiological sign parameters within the alarm threshold, baseline range, and treatment target range over a period of time, facilitating an understanding of the monitored subject's physiological state. Simple interval divisions result in rather messy data, and even if medical staff see the distribution results, they cannot intuitively understand the physiological state of the monitored subject associated with these distribution results. The monitoring information display method provided in this embodiment effectively solves this problem.

[0115] In one embodiment, the monitoring information display method further includes:

[0116] Acquire measurement data of at least one physiological characteristic parameter of the monitored object;

[0117] A measurement data display area is generated on the monitoring interface;

[0118] The measurement data display area of ​​the monitoring interface displays the measurement data of at least one physiological sign parameter.

[0119] In one embodiment, the monitoring information display method further includes: generating a distribution statistics chart based on the parameter value partitioning and the distribution statistics results, and displaying the distribution statistics chart in the dedicated distribution statistics display area.

[0120] In one embodiment, the distribution chart is a histogram with the parameter value partitions and the statistical results as the two axes; or, the distribution chart is a statistical table with the parameter value partitions as the header and the statistical results as the content.

[0121] In one embodiment, the data within the preset time period includes data obtained by continuous or intermittent measurement between any two time points.

[0122] In one embodiment, the distribution statistics result is: the number or ratio of the physiological sign parameters falling into the numerical intervals corresponding to the parameter value partitions in the data within a preset time length.

[0123] In one embodiment, the monitoring information display method further includes:

[0124] A target condition is determined from the at least one parameter value partition based on the setting information;

[0125] Determine a display style for the statistical results corresponding to the target condition that differs from other statistical results;

[0126] Based on the display style, the distribution statistics results are displayed in the dedicated display area for distribution statistics on the monitoring interface.

[0127] In one embodiment, the monitoring information display method further includes:

[0128] Generate corresponding waveforms and / or trend charts based on data from at least one physiological sign parameter within a preset time period;

[0129] The waveform and / or trend graph are displayed within the measurement data display area.

[0130] In one embodiment, the monitoring information display method further includes:

[0131] Generate a corresponding trend chart and / or trend table based on the data of at least one physiological sign parameter within a preset time period;

[0132] 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 are displayed in the trend display area.

[0133] In one embodiment, the monitoring information display method further includes: in response to a user input instruction, switching the trend graph or trend table displayed in the trend display area to another.

[0134] In one embodiment, the monitoring information display method further includes:

[0135] In response to a preset trigger condition, refresh the trend graph and / or trend table displayed in the third area; or,

[0136] Once the measurement data of the physiological sign parameters is updated, the distribution statistics results are refreshed synchronously, and / or the trend graph and / or trend table are refreshed synchronously.

[0137] In one embodiment, the monitoring information display method further includes:

[0138] A selection control is provided in the dedicated display area for distribution statistics.

[0139] In response to the selection command input by the user through the selection operation control, the statistical results of the physiological signs parameters to be displayed in the distribution statistics dedicated display area, as well as the value of the preset time length, are determined.

[0140] See Figure 3 This illustrates a structural schematic of the monitoring information display device provided in this 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.

[0141] 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 through at least one physiological sign sensor;

[0142] Data acquisition module 302 acquires data of the at least one physiological sign parameter within a preset time period;

[0143] The statistical result acquisition 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 statistics result corresponding to the parameter value partition; the parameter value partition represents the numerical range of the physiological sign parameter;

[0144] The display module 304 provides a monitoring interface, which 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 results in the distribution statistics dedicated display area of ​​the monitoring interface.

[0145] In one embodiment, the display module 304 generates a distribution statistics chart based on the parameter value partitioning and the distribution statistics results, and displays the distribution statistics chart in the dedicated distribution statistics display area.

[0146] In one embodiment, the distribution chart is a histogram with the parameter value partitions and the statistical results as the two axes; or, the distribution chart is a statistical table with the parameter value partitions as the header and the statistical results as the content.

[0147] In one embodiment, the data within the preset time length includes data obtained from continuous or intermittent measurements between any two time points.

[0148] In one embodiment, the distribution statistics result is: the number or ratio of the physiological sign parameters falling into the numerical intervals corresponding to the parameter value partitions in the data within a preset time length.

[0149] In one embodiment, the parameter value partitioning includes a treatment target partitioning, which corresponds to the numerical range of the treatment target values ​​of the physiological sign parameters.

[0150] In one embodiment, the display module 304 outputs and displays the non-treatment target partition using a first display style, and outputs and displays the treatment target partition using a second display style different from the first display style.

[0151] 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 different from other statistical results for the statistical results corresponding to the target condition; and displays the distribution statistics results in the distribution statistics dedicated display area of ​​the monitoring interface based on the display style.

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

[0153] In one embodiment, the display module 304 generates a corresponding trend graph and / or trend table based on the data of the at least one physiological sign parameter within a preset time period; 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.

[0154] In one embodiment, the display module 304 responds to a user input instruction by switching the trend graph or trend table displayed in the trend display area to another.

[0155] In one embodiment, the display module 304 responds to a preset trigger condition by refreshing the trend graph and / or trend table displayed within the trend display area; or, after determining that the measurement data of the physiological vital signs parameters has been updated, it synchronously refreshes the distribution statistics results and / or synchronously refreshes the trend graph and / or trend table.

[0156] In one embodiment, the display module 304 monitors the parameter values ​​of physiological signs in the trend table. If the parameter value exceeds the corresponding parameter threshold, the parameter value is displayed based on a preset display style. Alternatively, the display module 304 monitors the parameter values ​​of physiological signs in the trend table. If an alarm message associated with the parameter value is detected, the parameter value is displayed based on a preset display style. Alternatively, the trend chart is displayed using a display style that can distinguish between normal and abnormal parameter values ​​of physiological signs in the trend chart.

[0157] In one embodiment, the display module 304 monitors the measurement data of the physiological signs 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.

[0158] In one embodiment, the monitoring information display device further includes a time length setting module. The time length setting module provides selection operation controls in the dedicated distribution statistics display area; responding to a selection command input by the user through the selection operation controls, it determines the statistical results of the physiological sign parameters to be displayed in the dedicated distribution statistics display area, as well as the value of the preset time length.

[0159] This application also provides a monitoring device, including:

[0160] The monitor is configured to display information.

[0161] The processor executes program instructions to implement the various steps in the monitoring information method described in the above embodiments.

[0162] The monitoring equipment mentioned in this application is not limited to patient monitors, but can also include invasive / non-invasive ventilators, anesthesia machines, defibrillators, nurse stations, central stations, and other equipment with monitoring functions. 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 mainly use patient monitors as an example for illustration.

[0163] A specific example of a monitor is as follows: Figure 4 As shown. Figure 4 A system framework diagram of the parameter processing module in a multi-parameter monitor is provided.

[0164] The multi-parameter monitor has a separate housing with a sensor interface area on the front panel. This area integrates multiple sensor interfaces for connecting to various external physiological parameter sensors (accessories 411). The front panel also includes a small LCD display area (display 418), input interface circuitry 420, and alarm circuitry 419 (such as an LED alarm area). The parameter processing module provides external communication and power interfaces for communicating with the main unit and drawing power from it. The parameter processing module also supports external parameter modules. These modules can be inserted to form a plug-in monitor main unit, serving as part of the monitor, or connected to the main unit via cable as an external accessory. Additionally, the multi-parameter monitor includes a memory 417 for storing computer programs and various data generated during the monitoring process.

[0165] The internal circuitry of the parameter processing module is housed within the casing, such as... Figure 4As shown, it includes a signal acquisition circuit 412, a front-end signal processing circuit 413, and a main processor 415 corresponding to at least two physiological signs.

[0166] The main processor 415 can implement the processing-related steps in the above-mentioned monitoring information display methods.

[0167] The signal acquisition circuit 412 can be selected from ECG circuits, respiratory circuits, body temperature circuits, blood oxygen circuits, non-invasive blood pressure circuits, invasive blood pressure circuits, etc. These signal acquisition circuits 412 are electrically connected to the corresponding sensor interfaces, and are used to electrically connect to the sensor accessories 411 corresponding to different physiological signs and parameters. Their output terminals are coupled to the front-end signal processor, 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 interfaces.

[0168] The measurement circuits for various physiological parameters can use common circuits in existing technologies. The front-end signal processor completes the sampling and analog-to-digital conversion of the output signal of the signal acquisition circuit, and outputs control signals to control the measurement process of physiological signals. These parameters include, but are not limited to: electrocardiogram, respiration, body temperature, blood oxygen, non-invasive blood pressure and invasive blood pressure parameters.

[0169] The front-end signal processor can be implemented using a microcontroller or other semiconductor devices, or it can be implemented using an ASIC or FPGA. The front-end signal processor can be powered by an isolated power supply. The sampled data is processed and packaged, and then sent to the main processor through an 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 communication interface 414.

[0170] The reason why the front-end signal processor is powered by an isolated power supply is that the DC / DC power supply is isolated by a transformer, which serves to isolate the patient from the power supply equipment. The main purposes are: 1. to isolate the patient by floating the application part through the isolation transformer, so that the patient leakage current is small enough; 2. to prevent the voltage or energy during defibrillation or electrosurgical application from affecting the main control board and other intermediate circuit boards and components (by creepage distance and clearance).

[0171] The main processor completes the calculation of physiological parameters and sends the calculation results and waveforms to the host (such as a host with a monitor, PC, central station, etc.) through the external communication and power interface. The external communication and power interface 416 can be one or a combination of Ethernet, Token Ring, Token Bus, and Fiber Distributed Data Interface (FDDI) which serves as the backbone of these three networks. It can also be one or a combination of wireless interfaces such as infrared, Bluetooth, Wi-Fi, and WMTS communication, or one or a combination of wired data connection interfaces such as RS232 and USB.

[0172] The external communication and power interface 416 can also be one or a combination of wireless and wired data transmission interfaces. The host unit can be any computer device such as a monitor, electrocardiograph, ultrasound diagnostic instrument, or computer; with the appropriate software installed, it can form a monitoring system. The host unit can also be a communication device, such as a mobile phone; the parameter processing module can send data to a Bluetooth-enabled mobile phone via a Bluetooth interface, achieving remote data transmission.

[0173] In addition, this application provides a readable storage medium on which a computer program is stored, which, when executed by a processor, implements the various monitoring information display methods described above.

[0174] This document describes various exemplary embodiments with reference to them. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operational steps and components for performing operational steps can be implemented in different ways depending on the specific application or considering any number of cost functions associated with the operation of the system (e.g., one or more steps can be deleted, modified, or combined with other steps).

[0175] The terms "first," "second," etc., used in this specification, claims, and the accompanying drawings are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus 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, or apparatuses.

[0176] Furthermore, as those skilled in the art will understand, the principles herein can be reflected in a computer program product on a computer-readable storage medium pre-loaded with computer-readable program code. Any tangible, non-transitory computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu-ray discs, 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 apparatus to form a machine, such that instructions, which execute on the computer or other programmable data processing apparatus, can generate means for performing a specified function. These computer program instructions may also be stored in a computer-readable storage medium that can instruct the computer or other programmable data processing apparatus to operate in a particular manner, such that instructions stored in the computer-readable storage medium can form an article of manufacture, including means for implementing the specified function. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to perform a series of operational steps on the computer or other programmable apparatus to produce a computer-implemented process, such that instructions, which execute on the computer or other programmable apparatus, can provide steps for implementing the specified function.

[0177] The foregoing specific descriptions have 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 this disclosure. Therefore, considerations for this disclosure are to be illustrative rather than restrictive, and all such modifications are to be included within its scope. Similarly, advantages, other advantages, and solutions to problems with respect to various embodiments have been described above. However, benefits, advantages, solutions to problems, and any elements that produce these, or make them more explicit, should not be construed as critical, essential, or necessary. The term “comprising” and any other variations thereof as used herein are non-exclusive inclusion, meaning that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed or not part of the process, method, system, article, or apparatus. Furthermore, the term “coupled” and any other variations thereof as used herein refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, and / or any other connections.

[0178] The above embodiments are merely illustrative of several implementation methods, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this invention, and these all fall within the protection scope of this invention. Therefore, the protection scope of this invention should be determined by the appended claims.

Claims

1. A method for displaying monitoring information, characterized in that, include: The measurement data of at least one physiological sign parameter of the monitored object are obtained, and the measurement data of the physiological sign parameter are obtained from the monitored object through at least one physiological sign sensor; Acquire data of at least one physiological sign parameter within a preset time period; Based on at least one parameter value partition, the data within the preset time length is statistically distributed, and the statistical distribution results corresponding to the parameter value partition are determined. The parameter value partition represents the numerical range of the physiological sign parameter; 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, wherein the treatment target partition corresponds to the numerical range of the treatment target value of the physiological sign parameter; A monitoring interface is provided, and a measurement data display area and a distribution statistics dedicated display area are generated 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, and the distribution statistics results are displayed in the distribution statistics dedicated display area of ​​the monitoring interface.

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

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

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

5. The method according to claim 1, characterized in that, Also includes: A selection operation control is provided in the dedicated display area for distribution statistics, and the selection operation control provides options for multiple parameter value partitions; In response to the user's instruction to select a parameter value partition via the selection operation control, the distribution statistics results corresponding to the parameter value partition to be displayed in the dedicated distribution statistics display area are determined.

6. A method for displaying monitoring information, characterized in that, include: Data on at least one physiological characteristic parameter of the monitored object within a preset time period are obtained, wherein the data on at least one physiological characteristic parameter of the monitored object within the preset time period are obtained from the monitored object through at least one physiological characteristic sensor; Based on at least one parameter value partition, the data within the preset time length is statistically distributed, and the statistical distribution results corresponding to the parameter value partition are determined. The parameter value partition represents the numerical range of the physiological sign parameter; The numerical range is determined based on the treatment target range corresponding to the physiological sign parameters; Provide a monitoring interface, and generate a dedicated display area for distribution statistics on the monitoring interface; The distribution statistics results are displayed in the dedicated display area for distribution statistics on the monitoring interface.

7. The method according to claim 6, characterized in that, Also includes: Acquire measurement data of at least one physiological characteristic parameter of the monitored object; A measurement data display area is generated on the monitoring interface; The measurement data display area of ​​the monitoring interface displays the measurement data of at least one physiological sign parameter.

8. The method according to claim 1 or 7, characterized in that, The measurement data display area includes a status indicator, which contains multiple parameter value partitions, and the treatment target partition among the multiple parameter value partitions has the same numerical range as the treatment target partition in the distribution statistics dedicated display area.

9. The method according to claim 6, characterized in that, A distribution statistics chart is generated based on the parameter value partitioning and the distribution statistics results, and the distribution statistics chart is displayed in the dedicated distribution statistics display area; The distribution statistics chart is a histogram with the parameter values ​​as partitions and the statistical results as the two axes, respectively; or, The distribution statistics chart is a statistical table with the parameter value partitions as the header and the statistical results as the content.

10. The method according to claim 6, characterized in that: The distribution statistics result is: the number or ratio of the physiological signs parameters falling into the numerical intervals corresponding to the parameter value partitions in the data within a preset time period.

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

12. The method according to claim 1 or 6, characterized in that, Also includes: A target condition is determined from the at least one parameter value partition based on the setting information; Determine a display style for the statistical results corresponding to the target condition that differs from other statistical results; Based on the display style, the distribution statistics results are displayed in the dedicated display area for distribution statistics on the monitoring interface.

13. The method according to claim 1 or 7, characterized in that, Also includes: Generate corresponding waveforms and / or trend charts based on data from at least one physiological sign parameter within a preset time period; The waveform and / or trend graph are displayed within the measurement data display area.

14. The method according to claim 1 or 6, characterized in that, Also includes: Generate a corresponding trend chart and / or trend table based on the data of at least one physiological sign parameter within a preset time period; 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 are displayed in the trend display area.

15. The method according to claim 14, characterized in that, Also includes: In response to user input, the trend chart or trend table displayed in the trend display area will be switched to another; Alternatively, it may also include: responding to preset trigger conditions to refresh the trend graph and / or trend table displayed in the trend display area; Alternatively, it may also include: responding to a preset trigger condition, determining that after the measurement data of the physiological sign parameters is updated, synchronously refreshing the distribution statistics results, and / or synchronously refreshing the trend graph and / or trend table.

16. The method according to claim 14, characterized in that, Also includes: The parameter values ​​of physiological signs in the trend table are monitored. If a parameter value exceeds a corresponding threshold, the parameter value is displayed based on a preset display style; or... Monitor the parameter values ​​of physiological signs in the trend table. If an alarm message associated with the parameter value is detected, display the parameter value according to a preset display style; or, The trend graph is displayed using a display style that can distinguish between normal and abnormal values ​​of physiological sign parameters in the trend graph.

17. The method according to claim 6, characterized in that, Also includes: A selection operation control is provided, which offers options for multiple parameter value partitions; In response to the user's instruction to select a parameter value partition via the selection operation control, the distribution statistics results corresponding to the parameter value partition to be displayed in the dedicated distribution statistics display area are determined.

18. A monitoring device, characterized in that, include: The display is configured to display information; A processor that executes program instructions to implement the steps of the monitoring information display method according to any one of claims 1-17.

19. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is loaded and executed by the processor, it implements the monitoring information display method according to any one of claims 1-17.

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