Method for presenting information cues for continuous monitoring equipment and continuous monitoring equipment

Abstract

The invention relates to a method for presenting information prompts for continuous monitoring equipment and the continuous monitoring equipment. The method comprises the following steps: dynamically acquiring sensor data of a monitored object and calculating monitoring data of each monitoring index; if the monitoring data exceed the preset range of the monitoring indexes or the risk value of the monitoring data exceeding the preset range of the monitoring indexes is greater than the risk threshold value, determining that the risk value is greater than the risk threshold value; and matching a corresponding abnormal event for the monitoring data based on the degree that the monitoring data exceeds the preset range or the degree that the risk that the monitoring data exceeds the preset range is greater than a risk threshold, and dynamically presenting prompt information of the abnormal event in a display terminal according to a prompt mode matched with the abnormal event. According to the method provided by the invention, a more striking information prompting mode closely associated with the monitoring index can be provided, so that a user can timely and intuitively perceive the abnormal or risk condition of the monitoring index, and the best treatment opportunity is prevented from being missed.

Description

Technical Field

[0001] The present application belongs to the field of medical equipment and relates to physiological parameter monitoring technology, and in particular to a method for presenting information prompts for continuous monitoring equipment and a continuous monitoring equipment. Background Art

[0002] With the rise of telemedicine and the rapid development of wearable technology, the application scenarios of continuous health monitoring devices are becoming more and more extensive, including the monitoring of chronic disease patients, auxiliary care for the elderly, and health status detection. These devices can monitor and record multiple health indicators in real time, help users manage their personal health, and provide necessary data support for medical professionals.

[0003] In this field, the stability of equipment and the accuracy of data have always been the focus of researchers and equipment manufacturers. In the process of users using continuous health monitoring equipment, how to display the monitoring data more prominently so that users can perceive the abnormal health conditions identified by the monitoring equipment more timely, intuitively and fully is a relatively weak link in the current existing technology. Most of the existing similar devices can only reflect the changes in monitoring data through color changes or directly displaying numerical values, which is far from meeting the needs of users. From another perspective, this lack of data display is also a mismatch with the increasingly powerful data collection and processing capabilities of the equipment.

[0004] Therefore, in the prior art, there has not yet been found a method that can provide users with more eye-catching information prompts that are closely related to the current status of the monitoring indicators based on the monitoring data of the continuous health monitoring device. Summary of the invention

[0005] The present application is provided to solve the above-mentioned defects existing in the prior art. A method for presenting information prompts for a continuous monitoring device and a continuous monitoring device are needed, which can provide users with more eye-catching information prompts that are closely related to the current status of the monitoring indicators based on the monitoring data of the continuous health monitoring device, so that users can intuitively perceive the abnormal or risk status of the monitoring indicators based on the information prompts, thereby avoiding missing the best treatment opportunity due to ignoring the abnormal and risk prompt information of the monitoring indicators.

[0006] According to a first scheme of the present application, a method for presenting information prompts for a continuous monitoring device is provided, comprising dynamically acquiring sensor data used by the continuous monitoring device to monitor at least one monitoring indicator of a monitored object; calculating the monitoring data of each monitoring indicator of the monitored object based on the acquired sensor data; in the case where it is determined that the monitoring data exceeds a preset range of the corresponding monitoring indicator, or the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than a risk threshold: matching a corresponding abnormal event for the monitoring data based on the degree to which the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the degree to which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold; and dynamically presenting prompt information of the abnormal event in a display area of ​​the display terminal corresponding to the monitoring indicator according to a prompt mode that matches the abnormal event.

[0007] According to the second scheme of the present application, a continuous monitoring device is provided, comprising at least one sensor and at least one processor, wherein the at least one sensor is configured to monitor at least one monitoring indicator of a monitored object and dynamically generate sensor data; and the at least one processor is configured to execute the method for presenting information prompts for a continuous monitoring device as described in the various embodiments of the present application.

[0008] The method for presenting information prompts for a continuous monitoring device and the continuous monitoring device provided in each embodiment of the present application not only set a threshold range of normal values ​​of the monitoring data or a risk threshold value exceeding the normal value for each monitoring indicator, but also set corresponding different abnormal events based on the degree to which the monitoring data exceeds the preset range of the corresponding monitoring indicator or the degree to which it exceeds the risk threshold, and different abnormal events are matched with different prompt modes. In this way, in the display terminal of the continuous monitoring device, not only can it be prompted that an abnormality has occurred in a specific monitoring indicator, but information prompts related to the current abnormality or risk level of the monitoring indicator can also be given in a distinctive, clear and eye-catching manner, so that the user can intuitively and efficiently obtain richer abnormality and abnormality level information only through the prompt mode of the information prompt, thereby avoiding to the greatest extent the neglect of abnormal and risk conditions due to insufficient eye-catching prompt information or insufficient differentiation, thereby missing the best treatment opportunity.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0010] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0012] Figure 1 A schematic flow chart of a method for presenting information prompts for a continuous monitoring device according to an embodiment of the present application is shown.

[0013] Figure 2 A schematic diagram showing an abnormal event prompt mode according to an embodiment of the present application.

[0014] Figure 3 A schematic diagram showing some components of a continuous monitoring device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the embodiment of the present application clearer, the technical solution of the embodiment of the present application will be clearly and completely described in conjunction with the drawings of the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all of the embodiments. Based on the described embodiment of 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.

[0016] Unless otherwise defined, the technical terms or scientific terms used in this application shall have the common meanings understood by persons with ordinary skills in the field to which this application belongs. "Include" or "comprising" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, but do not exclude other elements or objects.

[0017] The words "first", "second" and similar words used in this application do not indicate any order, quantity or importance, but are only used to distinguish. Words such as "include" or "comprise" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of also covering other elements. The execution order of the various steps in the method described in this application in conjunction with the accompanying drawings is not intended to be limiting. As long as it does not affect the logical relationship between the various steps, several steps can be integrated into a single step, a single step can be decomposed into multiple steps, and the execution order of the various steps can be changed according to specific needs.

[0018] It should also be understood that the term "and / or" in this application is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this application generally indicates that the associated objects before and after are in an "or" relationship.

[0019] In order to keep the following description of the embodiments of the present application clear and concise, the present application omits detailed descriptions of known functions and known components.

[0020] According to the embodiment of the present application, the continuous monitoring device can be, for example, a device that continuously senses and processes physiological indicators using sensors using applicable sensing technologies (such as optics, electrochemistry, etc.) to achieve corresponding indicator monitoring, wherein the indicators to be monitored can be, for example, blood sugar, blood pressure, heart rate, uric acid, blood volume, creatine, respiration, pain index, intra-abdominal pressure, etc., such as continuous blood sugar monitoring equipment, continuous blood pressure monitoring equipment, continuous heart rate monitoring equipment, etc., or a multifunctional device capable of simultaneously monitoring multiple indicators, which is not limited by the present application. When the user turns on the continuous monitoring device, the data generated by the monitoring of the monitored object can be transmitted to the display terminal for display directly or after certain processing, so that the user can grasp the status of each monitoring indicator in real time and accurately.

[0021] It is worth noting that the continuous monitoring device can be portable and wearable, in which case the monitored object is the user himself. In other cases, the continuous monitoring device and the display terminal can also be arranged in different locations, for example, for remote monitoring of patients (as monitored objects) by doctors (as users), etc., and this application does not limit this.

[0022] Figure 1 A schematic flow chart of a method for presenting information prompts for a continuous monitoring device according to an embodiment of the present application is shown.

[0023] like Figure 1 As shown, first, in step 101, it is necessary to dynamically obtain sensor data of the continuous monitoring device for monitoring at least one monitoring indicator of the monitored object.

[0024] In some embodiments, in order to monitor a specific monitoring indicator, multiple sensing components using the same or different sensing technologies may be required to work together or collaboratively to obtain corresponding sensing / measurement data, that is, the sensor data described above.

[0025] Then, in step 102, based on the acquired sensor data, the monitoring data of each monitoring indicator of the monitoring object is calculated. In some embodiments, the sensor data needs to be processed and / or converted to obtain monitoring data comparable to the monitoring indicator. The specific data processing and data conversion methods can be performed as needed, and this application does not limit this.

[0026] Next, in step 103, it is determined whether the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold. If either of the above two conditions is met, step 104 is entered.

[0027] For some monitoring indicators, even if the current monitoring data does not exceed the corresponding preset range, the change of its numerical value has a certain regularity. For example, the risk value of the current value exceeding the preset range can be predicted according to the historical data of the indicator itself and the characteristic curve of the indicator; or, some monitoring indicators may be associated with other monitoring indicators, so the risk value of the monitoring indicator exceeding the preset range can be predicted based on the data of the associated monitoring indicators. In this way, the user can be prompted earlier that the indicator has abnormal risks so that he can take corresponding preventive or treatment measures in advance.

[0028] In step 104, based on the extent to which the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the extent to which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold, the corresponding abnormal event is matched for the monitoring data; and, in the display area of ​​the display terminal corresponding to the monitoring indicator, the prompt information of the abnormal event is dynamically presented in accordance with the prompt mode matching the abnormal event.

[0029] In some embodiments, the setting of abnormal events and their prompt modes is based on the main principle of being more intuitive, more eye-catching and related to their degree of harm. For example, if the threshold range of a specific monitoring indicator is exceeded, but the threshold value is higher than the high threshold value of the monitoring indicator and lower than the low threshold value of the monitoring indicator, they correspond to two different abnormal events, and the set prompt modes are also different. If it is assumed that the threshold value higher than the high threshold value of the monitoring indicator is more harmful to the monitored object, then the corresponding prompt mode should be considered to be set to a more vigilant mode. The specific setting method of abnormal events and their prompt modes is not limited in this application.

[0030] According to the method for presenting information prompts for continuous monitoring equipment in the embodiment of the present application, by setting a threshold range of normal values ​​of monitoring data or a risk threshold exceeding normal values ​​for each monitoring indicator, it is possible not only to give prompt information when an abnormality occurs in the monitoring data, but also to give a prompt of the risk of abnormality occurring earlier, and to match different prompt modes for different abnormal events. In this way, information prompts associated with the current abnormality or risk level of the monitoring indicator can be given in a differentiated, clear and eye-catching manner based on the abnormal event that has occurred, so that the user can intuitively and efficiently obtain richer abnormality and abnormality level information only through the prompt mode of the information prompt. Compared with the static presentation of abnormal values ​​of monitoring indicators in the prior art, the information prompts of the method in the embodiment of the present application are more dynamic and eye-catching, and contain richer abnormal information. Therefore, it is possible to avoid to a greater extent the neglect of abnormal events and risk conditions due to insufficient eye-catching prompt information or insufficient differentiation, thereby missing the best treatment opportunity.

[0031] Taking into account the multiple dimensions that humans can perceive of prompt information, in an embodiment of the present application, the prompt mode corresponding to the abnormal event is set to include the following two aspects: the first aspect is a parameterized emphasis method of the intermediate display state of the monitoring data relative to the original display state of the monitoring data when the abnormal event occurs; the second aspect is a parameterized switching method for switching the display between the intermediate display state and the original display state.

[0032] On this basis, the method of dynamically presenting the prompt information of the abnormal event in the display area corresponding to the monitoring indicator of the display terminal according to the prompt mode matching the abnormal event further includes: based on the monitoring data, generating an intermediate display state according to the parameters of the emphasis method corresponding to the abnormal event, and switching the original display state of the monitoring data and the generated intermediate display state of the monitoring data in the display area corresponding to the monitoring indicator of the display terminal according to the parameters of the switching method.

[0033] In some embodiments, the intermediate display state of the monitoring data may not be limited to one, but may be multiple, for example, including a first intermediate state and a second intermediate state, which correspond to different display effects or different information contents to be presented to the user, and can be switched and presented cyclically in the order of original display state -> first intermediate state -> second intermediate state -> original display state. For example, the first intermediate state is a curve presentation of the development trend of the monitoring data that currently exceeds the preset range, and the second intermediate state is a text summary of the disease condition corresponding to the current abnormal event, such as "exceeding the upper limit of heart rate by 20%!", etc. In this way, the user can get the emphasized information of the abnormal event from graphics to text.

[0034] In the embodiment of the present application, the parameters of the emphasis method may include, for example, one of the background color, text, border, and graphics of the displayed content, or a combination thereof. Figure 2 A schematic diagram showing an abnormal event prompt mode according to an embodiment of the present application.

[0035] As mentioned earlier, Figure 2 The abnormal events U1 and U2 in the example correspond to "monitoring data is higher than the high threshold" and "monitoring data is lower than the low threshold" respectively, and in the prompt mode matching the abnormal events U1 and U2, it is assumed that the background color and text of the displayed content are set as the parameters of the emphasis method in advance. However, since the abnormal events U1 and U2 are two different abnormal events, the prompt modes can be different. Figure 2 For example, when an abnormal event U1 occurs in the monitoring data, the monitoring data is first switched to be displayed in a preset display mode, and then, according to the degree to which the monitoring data is higher than the high threshold, the monitoring data is displayed in accordance with the preset display mode. Figure 2 The corresponding relationship between the background color and the monitoring data shown in Table 1 (specifically, the interval where the percentage of the monitoring data is higher than the high threshold) is used to adjust the display content of the intermediate display state of the monitoring indicator ( Figure 2 In other embodiments, for example, when an abnormal event U2 occurs in the monitoring data, the monitoring data is first displayed in a preset display mode (usually a display mode that is more eye-catching and has a more warning effect than the monitoring data in the normal range), and then, according to the degree to which the monitoring data is below the lower threshold, the display mode is changed to the background color of the monitoring value of the indicator, while the text in the display content remains unchanged. Figure 2 The background color and text of the display content of the intermediate display state 1 and the intermediate display state 2 are adjusted according to the correspondence between the background color and the monitoring data shown in Table 2 (specifically, the interval in which the percentage of the monitoring data is lower than the lower threshold). Figure 2 It is assumed that the high threshold of the monitoring indicator is 10.0 and the low threshold is 3.8. Therefore, when the monitoring data reaches 13.5 (the percentage exceeding the high threshold is about 35%), or when the monitoring data reaches 3.0 (the percentage below the low threshold is between 20% and 50%), the display background of the monitoring value in each intermediate display state will be adjusted to the corresponding color according to Table 1 and Table 2 respectively, and the text content will be adjusted. For example, the text content in the intermediate display state 1 remains unchanged, while the text content in the intermediate display state 2 is modified to "The indicator is below the lower limit!", etc. The above is only an example, and the specific implementation methods are not listed here one by one.

[0036] Next, it is necessary to further set the parameters of the switching mode. The parameters of the switching mode include one or a combination of the switching frequency, the proportion of each state, and the change slope of the switching frequency. Figure 2 For example, the parameter of the switching mode of the abnormal event U1 on the left is, for example, only the switching frequency. Then, the switching between the intermediate state and the original state can be set to form a fast flashing or slow flashing eye-catching display effect. In other embodiments, in order to prevent the fixed switching frequency from being ignored by the user, the parameter setting of the change slope of the switching frequency can also be added. In this way, during the switching process, the switching frequency changes with a certain slope, and the flashing speed gradually increases or slows down, which is easier to attract the user's attention than a constant flashing frequency.

[0037] by Figure 2 Taking the abnormal event U2 on the right as an example, the parameters of the switching mode can also be set as a combination of the switching frequency and the proportion of each state. Specifically, for example, the original display state -> intermediate display state 1 -> intermediate display state 2 -> original display state cycle can be controlled to be completed within 2s by setting the switching frequency to 0.5Hz, but the parameters of the proportion of each state can be further set to control the display duration of the original display state, intermediate display state 1 and intermediate display state 2. As an example only, the proportion of the intermediate display state 2 can be set higher to highlight the text content of "xx indicator is too low!" to the user, where "xx" refers to the specific indicator name.

[0038] In some embodiments, the parameters of the above-mentioned emphasis mode and the parameters of the switching mode can be selected from a set containing a limited number of elements, or can be selected from a continuous range of values. This application does not impose any restrictions on this, and can be set as needed according to the type of parameter. These parameters can be set manually, or can be automatically matched according to the degree to which the monitoring data exceeds the preset range. The system can also provide a set of default values, and the user can modify it as needed to complete the setting, etc. This application does not impose any specific restrictions on this.

[0039] By combining and setting the parameters of the emphasis mode and the switching mode, it is possible to form a transformation mode of sudden change, gradual change, etc. at different speeds between different display contents, so as to achieve the visual effect of abnormal events that you want to present to the user. In particular, by setting the parameters of the switching mode, the presentation of prompt information can be made more eye-catching, more friendly to the elderly or users with poor eyesight, and can greatly improve the user experience. In particular, from another perspective, showing the abnormal conditions identified by the continuous monitoring device to the user to the greatest extent is also a full utilization of the device's data processing capabilities, and is an important means to improve the comprehensive use value of continuous monitoring equipment.

[0040] In other embodiments, when setting parameters, the parameters of the emphasis mode and one or both of the parameters of the switching mode can be set in association with the degree to which the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the degree to which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold. In other words, these two types of parameters can be set as dependent variables of the degree of abnormality of the monitoring data, thereby establishing an association between the emphasis mode / switching mode and the degree of abnormality of the monitoring indicator, so that the user can perceive the severity of the abnormal event at the same time as the abnormal event occurs.

[0041] In other embodiments, in particular, when the monitored indicators change dynamically quickly, and / or when exceeding the threshold range too much will lead to more serious consequences, and therefore special attention needs to be paid to the changing trend and speed of the monitoring data, the parameters of the above-mentioned emphasis method and / or the parameters of the switching method can be set in association with the speed at which the monitoring data deviates from the preset range of the corresponding monitoring indicator, or the speed at which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator deviates from the risk threshold. As an example only, a graphic of the displayed content can be used as one of the parameters of the emphasis method, and a dynamic image that can characterize the deviation speed of the indicator can be generated in the intermediate display state based on the speed at which the monitoring data deviates from the preset range of the corresponding monitoring indicator, so that the user can intuitively perceive the direction of the deviation of the monitoring indicator and the degree of risk that may be caused by such deviation, so that corresponding countermeasures can be taken at the first time, thereby not delaying the treatment opportunity.

[0042] In addition, in some embodiments, the preset range of the monitoring index, and the risk threshold of the monitoring data exceeding the preset range of the corresponding monitoring index, can be set in association with the individual-related parameters of the monitored object, wherein the individual-related parameters include age, race, population, individual differences, disease status, doctor's advice, one or a combination thereof, or other parameters related to the individual of the monitored object, which is not limited in this application. As an example only, for blood pressure indicators, there are large differences in the determination of whether blood pressure is high between groups of different ages, or between groups with related diseases and healthy groups; for another example, for the monitored object who has already suffered from diabetes, the monitoring and control methods of their blood sugar indicators are not exactly the same as those of healthy people. The corresponding preset range / risk threshold should be specifically set in combination with the specific illness of the monitored object, such as the control suggestions for blood sugar indicators in the will, in order to better serve the monitored object. Therefore, according to the above method of the embodiment of the present application, when using continuous monitoring equipment to monitor indicators of a specific monitoring object, it can be more adapted to the special circumstances of the object, so that when abnormal events are identified, it can be more targeted, improve the accuracy of prompt information presentation, and avoid or reduce the underreporting and false reporting of abnormal indicators of specific objects.

[0043] In other embodiments, the changing trend of the monitoring indicator can also be predicted, especially when the monitoring indicator may be associated with multiple other indicators or sensor data, the first learning model can be used to jointly predict whether the risk value of the current monitoring data exceeding the preset range of the monitoring indicator is greater than the risk threshold based on the monitoring data of the monitoring indicator in the first time period and the various sensor data associated with the monitoring indicator. In some embodiments, the first time period can be selected according to the applicable duration corresponding to different monitoring indicators. Additionally, the duration of the first time period can be selected in association with the time period at the current moment. This application does not make specific restrictions on this, as long as the monitoring data in the selected first time period and the data of other sensors can be used to more accurately predict the risk trend of the monitoring indicator.

[0044] In some embodiments, the first learning model may be any applicable deep learning model, and is obtained by training based on the monitoring data of the monitoring indicator of the monitored object and various sensor data associated with the monitoring indicator.

[0045] In some other embodiments, the first learning model may also be replaced by other prior models, for example, based on the expert experience or experimental data in the medical field, to identify sensor data associated with a specific monitoring indicator, and set a prediction rule / empirical formula based on the monitoring data of the identified monitoring indicator in the first time period and in combination with the various sensor data associated with the monitoring indicator to predict the risk value of the current monitoring data exceeding the preset range of the monitoring indicator. The present application does not limit this, as long as the changing trend of the monitoring indicator can be predicted in advance in a timely and accurate manner. In this way, valuable warnings can be provided to users before the monitoring indicator exceeds the preset risk range, so that corresponding preventive or treatment measures can be taken in advance, thereby more effectively protecting the health status of the monitored object.

[0046] In some embodiments, during the monitoring process of some monitoring indicators, by processing the monitoring data, it is also possible to pre-identify the change trends of other indicators associated with the indicator, so as to provide users with valuable early warning prompt information.

[0047] More specifically, for example, when it is judged that the monitoring data exceeds the preset range of the corresponding monitoring index, the second learning model can be used to predict the target monitoring index type associated with the monitoring index based on the monitoring data that exceeds the preset range of the monitoring index, and a prompt message to pay attention to the target monitoring index is given in the early warning display area of ​​the display terminal. As an example only, the continuous monitoring device according to the embodiment of the present application may turn off the sensors that are not related to the monitoring index because only some indicators are monitored. Then, when the monitored indicators are abnormal, other indicators that are not included in the monitoring may also be abnormal. In this case, the possibility / probability of abnormality of other indicators can be predicted based on the abnormal monitoring data and their respective abnormality levels, and the user can be prompted based on the prediction results to pay attention to or start monitoring of these potential abnormal indicators, such as turning on the corresponding sensors, or using other instruments and equipment to monitor the relevant indicators of the monitored object, etc. In this way, the potential disease state of the object can be monitored in time, and the occurrence of adverse conditions can be prevented in advance.

[0048] Among them, similar to the first learning model, the second learning model can also be any applicable deep learning model, and is obtained based on the training of a data set including various monitoring indicators and their corresponding monitoring data. It is worth noting that the association between the various monitoring indicators can be direct. For example, if the first monitoring indicator is abnormal, the second monitoring indicator and the third monitoring indicator are also likely to be abnormal. In other embodiments, the association between the various monitoring indicators may also be complex and associated with specific values. For example, when the first monitoring indicator and the second monitoring indicator are both beyond the abnormal range and reach the preset value, it is determined that the third monitoring indicator may have a risk of exceeding the abnormal range. Therefore, when training and applying the second learning model, not only whether each monitoring indicator exceeds the preset range is used as the input of the second learning model, but also the monitoring data corresponding to each monitoring indicator can be encoded together as the input of the second learning model, thereby more accurately predicting whether other monitoring indicators have a risk of exceeding the preset range.

[0049] Similarly, the correlation between various monitoring indicators can also be set according to the expert experience or experimental data in the medical field, that is, the second learning model such as that based on deep learning can be replaced by a priori model. However, in the practice process of proposing this application, it is also found that when a certain amount of historical monitoring data of a specific monitoring object has been accumulated, a priori model or a pre-trained model can be transferred based on the historical data of these characteristic objects to obtain a prediction model with a more suitable parameter space. In this way, a more accurate prediction of abnormal conditions of each monitoring indicator can be achieved without the need for large-scale model training. Transfer training can be performed offline or online, and this application does not impose specific restrictions on this.

[0050] In some embodiments, the prompt mode matching the abnormal event may also include sound information for prompting the abnormality. Thus, the prompt information of the abnormal event can be dynamically presented in the display area of ​​the display terminal corresponding to the monitoring indicator according to the prompt mode matching the abnormal event, and the sound information can be dynamically played in a manner that matches the parameters of the switching method in the prompt mode.

[0051] Still Figure 2 Taking the abnormal event U1 in the example, when the switching frequency parameter of the prompt mode switching method is set to 1Hz, then when playing the sound information of the abnormal prompt, it can also be repeated at 1Hz. In this way, it matches the visual prompt method and can play the effect of overall reminder and alarm reinforcement.

[0052] In other embodiments, when the monitoring data of a certain monitoring indicator exceeds a preset range or exceeds a risk threshold, thereby matching the monitoring data with a corresponding abnormal event, a corresponding pop-up window can also be generated based on the matched abnormal event. The prompt information contained in the pop-up window can, for example, include the name of the abnormal event, or include the name + a brief description. This application does not impose specific restrictions on this, as long as the user can clearly see at a glance which monitoring indicator has what kind of abnormality. In addition, to ensure that the user has seen the indicator abnormality prompted by the pop-up window, the pop-up window is only allowed to be closed after the user manually views it.

[0053] In other embodiments, especially when the continuous monitoring device monitors multiple indicators at the same time, the priority of each abnormal event can also be ranked from a medical perspective. Accordingly, pop-up windows with abnormal events with higher priorities will be presented at a higher level. This allows users to see high-priority abnormal events with higher priority and deal with them in a timely manner to avoid missing treatment opportunities.

[0054] According to an embodiment of the present application, a continuous monitoring device is also provided. Figure 3A schematic diagram showing some components of a continuous monitoring device according to an embodiment of the present application is shown.

[0055] like Figure 3 As shown, the continuous monitoring device 300 includes at least one sensor 301, which is configured to monitor at least one monitoring indicator of a monitored object and dynamically generate sensor data.

[0056] The continuous monitoring device 300 further includes at least one processor 302, which is configured to execute the steps in the method for presenting information prompts for a continuous monitoring device as described in various embodiments of the present application.

[0057] In some embodiments, the processor 302 may be a processing device including one or more general-purpose processing devices, such as a microprocessor, a central processing unit (CPU), a graphics processing unit (GPU), etc. More specifically, the processor may be a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a processor running other instruction sets, or a processor running a combination of instruction sets. The processor may also be one or more special-purpose processing devices, such as an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), a system on a chip (SoC), etc.

[0058] In some embodiments, the continuous monitoring device 300 may further include a display terminal 303, which may be configured to dynamically present prompt information corresponding to the abnormal event in a display area corresponding to each monitoring indicator according to a prompt mode matching the abnormal event.

[0059] In other embodiments, the user may make corresponding settings via the display terminal 303 according to the specific needs of monitoring indicators of the monitored object, including adjusting the sensors corresponding to each monitoring indicator, etc., which will not be elaborated in this application.

[0060] In some embodiments, the display terminal 303 may include a liquid crystal display (LCD), a light emitting diode display (LED), a plasma display, or any other type of display. In addition, a graphical user interface (GUI) may be presented on the display for user input and image / data display, etc., which will not be elaborated here.

[0061] It is worth noting that the various components of the continuous monitoring device 300 according to the embodiment of the present application can be flexibly deployed. For example, the various sensors 301 are integrated to form a sensor device that directly acts on the monitored object. In some embodiments, in order to cache the data collected by the sensor, a certain cache space can also be set in the sensor device; and the processor 302 can be set in the cloud, for example, the server can be shared with other devices, and the display terminal 303 can be set in a place convenient for user observation, or it can also be implemented as a mobile device. The various distributed deployed parts are communicated and connected via WiFi, Bluetooth / low-power Bluetooth, other local area networks, the Internet, etc., and the present application does not impose specific restrictions on this.

[0062] According to an embodiment of the present application, a non-temporary computer-readable storage medium is also provided, on which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, various operations of the method for presenting information prompts for a continuous monitoring device described in various embodiments of the present application are implemented.

[0063] In some embodiments, the above-mentioned non-transitory computer-readable medium can be a read-only memory (ROM), random access memory (RAM), phase change random access memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), electrically erasable programmable read-only memory (EEPROM), other types of random access memory (RAM), flash disk or other forms of flash memory, cache, register, static memory, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, cassette tape or other magnetic storage device, or any other possible non-transitory medium used to store information or instructions that can be accessed by a computer device.

[0064] According to the method for presenting information prompts for a continuous monitoring device and the continuous monitoring device of the embodiment of the present application, it is possible to set the preset range and risk threshold of the monitoring indicator in combination with the individual related parameters of the monitored object, and match different abnormal events for it according to the specific situation that the monitoring data of the monitoring indicator exceeds the preset range or exceeds the risk threshold, so as to give information prompts associated with the current abnormality or risk level of the monitoring indicator in a distinctive, clear and eye-catching manner, so that the user can intuitively and efficiently obtain richer abnormality and abnormality level information only through the prompt mode of the information prompt. Compared with the static presentation of abnormal values ​​of monitoring indicators in the prior art, the information prompts provided according to the embodiments of the present application are more dynamic and eye-catching, and contain richer abnormal information. Therefore, it can avoid to a greater extent the neglect of abnormal events and risk conditions due to insufficient eye-catching prompt information or insufficient differentiation, thereby missing the best treatment opportunity.

[0065] In addition, although exemplary embodiments have been described herein, the scope includes any and all embodiments based on the present application with equivalent elements, modifications, omissions, combinations (e.g., various embodiments intersecting schemes), adaptations or changes. The elements in the claims will be interpreted broadly based on the language adopted in the claims, and are not limited to the examples described in this specification or during the execution of the application, and the examples will be interpreted as non-exclusive. Therefore, this specification and examples are intended to be considered as examples only, and the true scope and spirit are indicated by the claims and the full scope of their equivalents.

[0066] The above description is intended to be illustrative rather than restrictive. For example, the above examples (or one or more schemes thereof) may be used in combination with each other. For example, a person of ordinary skill in the art may use other embodiments when reading the above description. In addition, in the above-mentioned specific embodiments, various features may be grouped together to simplify the present application. This should not be interpreted as an intention that a disclosed feature that is not required to be protected is necessary for any claim. On the contrary, the subject matter of the present application may be less than all the features of a particular disclosed embodiment. Thus, the claims are incorporated herein into the specific embodiments as examples or embodiments, wherein each claim is independently a separate embodiment, and it is considered that these embodiments may be combined with each other in various combinations or arrangements. The scope of the present application should be determined with reference to the claims and the full scope of equivalent forms granted by these claims.

[0067] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.

Claims

1. A method for presenting information prompts for continuous monitoring equipment, characterized in that: include: Dynamically acquiring sensor data of at least one monitoring indicator of a monitored object monitored by the continuous monitoring device; Based on the acquired sensor data, the monitoring data of each monitoring indicator of the monitoring object is calculated; When it is determined that the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold: Based on the degree to which the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the degree to which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold, the monitoring data is matched with a corresponding abnormal event; and, In a display area of ​​the display terminal corresponding to the monitoring index, prompt information of the abnormal event is dynamically presented according to a prompt mode matching the abnormal event.

2. The method according to claim 1, characterized in that The prompt mode corresponding to the abnormal event specifically includes: in the case of the abnormal event, a parameterized emphasis mode of the intermediate display state of the monitoring data relative to the original display state of the monitoring data, and a parameterized switching mode for switching display between the intermediate display state and the original display state; The method of dynamically presenting the prompt information of the abnormal event in the display area corresponding to the monitoring indicator of the display terminal according to the prompt mode matching the abnormal event further includes: generating an intermediate display state according to the parameters of the emphasis mode corresponding to the abnormal event based on the monitoring data, and switching the original display state of the monitoring data and the generated intermediate display state of the monitoring data in the display area corresponding to the monitoring indicator of the display terminal according to the parameters of the switching mode; wherein, The parameters of the emphasis method include one or a combination of the background color, text, border, and graphics of the displayed content; the parameters of the switching method include one or a combination of the switching frequency, the proportion of each state, and the change slope of the switching frequency.

3. The method according to claim 2, characterized in that The method further comprises: The parameters of the emphasis mode and / or the parameters of the switching mode are set in association with the degree to which the monitoring data exceeds the preset range of the corresponding monitoring indicator, or the degree to which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator is greater than the risk threshold.

4. The method according to claim 2, characterized in that: The method further comprises: The parameters of the emphasis mode and / or the parameters of the switching mode are set in association with the speed at which the monitoring data deviates from a preset range of the corresponding monitoring indicator, or the speed at which the risk value of the monitoring data exceeding the preset range of the corresponding monitoring indicator deviates from the risk threshold.

5. The method according to any one of claims 1 to 4, characterized in that The preset range of the monitoring indicator is set in association with the individual relevant parameters of the monitoring object, and the risk threshold of the monitoring data exceeding the preset range of the corresponding monitoring indicator is set in association with the individual relevant parameters of the monitoring object; The individual-related parameters include one or a combination of age, race, population, individual differences, disease conditions, and doctor's advice.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: Using the first learning model, based on the monitoring data of the monitoring indicator in the first time period and the various sensor data associated with the monitoring indicator, predict whether the risk value of the current monitoring data exceeding the preset range of the monitoring indicator is greater than the risk threshold; The first learning model is obtained by joint training based on the monitoring data of the monitoring indicator of the monitoring object and various sensor data associated with the monitoring indicator.

7. The method according to any one of claims 1 to 4, characterized in that The method further comprises: In the case where it is determined that the monitoring data exceeds the preset range of the corresponding monitoring indicator, the second learning model is used to predict the type of target monitoring indicator associated with the monitoring indicator based on each monitoring data that exceeds the preset range of the monitoring indicator, and a prompt message prompting attention to the target monitoring indicator is given in the early warning display area of ​​the display terminal; The second learning model is obtained by training based on a data set including various monitoring indicators and their corresponding monitoring data.

8. The method according to any one of claims 2 to 4, characterized in that: The prompt mode matching the abnormal event further includes sound information for prompting the abnormality. The step of dynamically presenting the prompt information of the abnormal event in the display area of ​​the display terminal corresponding to the monitoring indicator according to the prompt mode matching the abnormal event further includes: dynamically presenting the prompt information of the abnormal event in the display area of ​​the display terminal corresponding to the monitoring indicator according to the prompt mode matching the abnormal event, and dynamically playing the sound information in a manner matching the parameters of the switching mode in the prompt mode.

9. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: In the case of matching the corresponding abnormal event for the monitoring data, generating a corresponding pop-up window based on the matched abnormal event; and, The popup window can only be closed after the user manually views it.

10. A continuous monitoring device, characterized in that: include: At least one sensor configured to: monitor at least one monitoring indicator of a monitoring object and dynamically generate sensor data; At least one processor is configured to execute the method for presenting information prompts for a continuous monitoring device as described in any one of claims 1-9.

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