Status information determination method and device, control method and device

Abstract

A method and device for determining status information, and a control method and device, which relate to the technical field of medical data processing. The method for determining status information includes a step (S100) of determining a status evaluation parameter corresponding to a test subject based on a preset analysis time period, and a step (S200) of determining first status information corresponding to the test subject based on the status evaluation parameter. Here, the status evaluation parameter includes at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter, and a second heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to a first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter corresponding to a second time period. This can improve the accuracy of the determined first status information and the comparability at different times, thus contributing to favorable conditions for determining a disease state of the test subject based on the determined first status information and assisting in predicting a condition such as progression.

Description

[Technical field]

[0001] The present application relates to the technical field of medical data processing, and in particular to a status information determining method and apparatus, a control method and apparatus, a computer-readable storage medium and an electronic device. [Background technology]

[0002] As is well known, parameters such as heart rate and heart rate variability corresponding to a test subject are easily affected by many factors such as day-night changes, progression of disease, sleep conditions and medications, making it very difficult to determine state information (e.g., neurohormonal state information of a test subject) and comparability of the test subject based on parameters such as heart rate and heart rate variability. Summary of the Invention [Problem to be solved by the invention]

[0003] In order to solve the above technical problems, the present invention is proposed. The embodiments of the present invention disclose a state information determining method and apparatus, a control method and apparatus, a computer-readable storage medium and an electronic device. [Means for solving the problem]

[0004] According to one aspect, an embodiment of the present invention discloses a method for determining status information, the method including: determining a status evaluation parameter corresponding to a test subject based on a preset analysis time period; and determining first status information corresponding to the test subject based on the status evaluation parameter, where the status evaluation parameter includes at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter, and a second heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to a first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter corresponding to a second time period.

[0005] In one embodiment of the present invention, the step of determining first status information corresponding to the test object based on the status evaluation parameters includes a step of determining numerical change information corresponding to the test object based on the status evaluation parameters, and a step of determining the first status information based on the numerical change information.

[0006] In one embodiment of the present invention, before the step of determining first status information corresponding to the test object based on the status assessment parameters, the method further includes a step of determining second status information corresponding to the test object based on the status assessment parameters, where the step of determining the first status information corresponding to the test object based on the status assessment parameters includes the steps of determining the first status information based on the status assessment parameters and the second status information.

[0007] In one embodiment of the present invention, the preset analysis time period includes a plurality of preset analysis time slots, and the step of determining the second status information corresponding to the test object based on the status evaluation parameter includes the steps of: determining a status evaluation level corresponding to each of the plurality of preset analysis time slots based on the status evaluation parameter, identifying a minimum level or a reference level that satisfies a normal status level requirement among the status evaluation levels corresponding to each of the plurality of preset analysis time slots, and setting the status information of the preset analysis time slot corresponding to the minimum level or the reference level as the second status information.

[0008] In one embodiment of the present invention, the step of determining the first status information based on the status evaluation parameter and the second status information includes a step of comparing the status evaluation parameter and the second status information to obtain a comparison result, and a step of determining the first status information based on the comparison result.

[0009] In one embodiment of the present invention, the condition evaluation parameters include a first heart rate signature parameter, and the first heart rate signature parameter includes a first average heart rate parameter and a first resting heart rate parameter, and the step of determining the condition evaluation parameters corresponding to the test subject based on the predetermined analysis time period includes the steps of determining a plurality of first time periods corresponding to the first time period in the predetermined analysis time period, determining a first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods, and determining the first resting heart rate parameter based on the first average heart rate parameter corresponding to each of the plurality of first time periods.

[0010] In one embodiment of the present invention, the step of determining the first resting heart rate parameter based on the first average heart rate parameters corresponding to each of the plurality of first time periods includes the steps of identifying a minimum first average heart rate parameter among the first average heart rate parameters corresponding to each of the plurality of first time periods, and determining the minimum first average heart rate parameter as the first resting heart rate parameter.

[0011] In one embodiment of the present invention, the condition evaluation parameters further include a first heart rate variability signature parameter, and the first heart rate variability signature parameter includes a first heart rate variability parameter at rest, and after determining the first resting heart rate parameter based on the first average heart rate parameters corresponding to each of the plurality of first time periods, the method further includes determining the first time period corresponding to the first heart rate variability parameter as a first resting time period, and determining the heart rate variability parameter corresponding to the first resting time period as the first resting heart rate variability parameter.

[0012] In one embodiment of the present invention, before the step of determining the first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods, the method further includes a step of removing a non-resting time period corresponding to each of the plurality of first time periods, wherein the step of determining the first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods includes a step of determining the first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods after the non-resting time period is removed.

[0013] In one embodiment of the present invention, the condition evaluation parameters include a second heart rate signature parameter, and the second heart rate signature parameter includes a second average heart rate parameter and a second resting heart rate parameter, and the step of determining the condition evaluation parameters corresponding to the test subject based on the predetermined analysis time period includes the steps of determining a plurality of second time periods corresponding to the second time period in the predetermined analysis time period, determining second average heart rate parameters corresponding to each of the plurality of second time periods based on the plurality of second time periods, and determining the second resting heart rate parameters based on the second average heart rate parameters corresponding to each of the plurality of second time periods.

[0014] In one embodiment of the present invention, determining the second resting heart rate parameter based on the second average heart rate parameters corresponding to each of the plurality of second time periods includes identifying a minimum second average heart rate parameter among the second average heart rate parameters corresponding to each of the plurality of second time periods, and determining the minimum second average heart rate parameter as the second resting heart rate parameter.

[0015] In one embodiment of the present invention, the second heart rate variability signature parameters further include a second heart rate variability parameter at rest, and after determining the second heart rate parameters at rest based on the second average heart rate parameters corresponding to the plurality of second time periods respectively, the method further includes determining the second time period corresponding to the second heart rate parameter at rest as a third resting time period, and determining the heart rate variability parameter corresponding to the third resting time period as the second heart rate variability parameter at rest.

[0016] In one embodiment of the present invention, before the step of determining the second average heart rate parameter corresponding to each of the plurality of second time periods based on the plurality of second time periods, the method further includes a step of removing a non-resting time period corresponding to each of the plurality of second time periods, wherein the step of determining the second average heart rate parameter corresponding to each of the plurality of second time periods based on the plurality of second time periods includes a step of determining the second average heart rate parameter corresponding to each of the plurality of second time periods based on the plurality of second time periods after the non-resting time period is removed.

[0017] In one embodiment of the present invention, the first status information is status information of the neurohormonal activity of the test subject.

[0018] According to another aspect, an embodiment of the present invention discloses a control method, including: acquiring first status information corresponding to a test object, where the first status information is obtained by a status information determining method according to any of the above embodiments; and controlling an operation status of a medical system and / or a medical equipment and / or a mobile device based on the first status information.

[0019] According to another aspect, an embodiment of the present invention discloses a state information determining apparatus, the apparatus comprising: a first determining module and a second determining module. The first determining module is configured to determine state evaluation parameters corresponding to the test subject based on a preset analysis time period, where the state evaluation parameters include at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter and a second heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to the first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter corresponding to the second time period. The second determining module is configured to determine first state information corresponding to the test subject based on the state evaluation parameters.

[0020] According to another aspect, an embodiment of the present invention discloses a control device, comprising: an acquisition module and a control module. The acquisition module is configured to acquire first status information corresponding to the test object, where the first status information is obtained by the method for determining status information according to any of the embodiments described above. The control module is configured to control an operation status of the medical system and / or medical equipment based on the first status information.

[0021] According to another aspect, an embodiment of the present invention discloses a computer readable storage medium having a computer program stored thereon, the computer program executing the method for determining status information and / or the method for controlling according to the above embodiment.

[0022] According to another aspect, an embodiment of the present invention discloses an electronic device comprising a processor and a memory storing instructions executable by the processor, wherein the processor is configured to execute the method for determining status information and / or the method for controlling according to the above-mentioned embodiment. Effect of the Invention

[0023] In an embodiment of the present invention, instead of directly determining the first status information corresponding to the test subject based on the heart rate and / or heart rate variability parameters corresponding to the test subject, the first status information corresponding to the test subject is determined using the condition evaluation parameters corresponding to the test subject. Therefore, the embodiment of the present invention can improve the accuracy and comparability of the determined first status information at different times, and thus contribute to favorable conditions for assisting in prediction of the condition such as disease progression of the test subject based on the determined first status information. [Brief description of the drawings]

[0024] The above and other objects, features and advantages of the present invention will become more apparent by describing the embodiments of the present invention in more detail with reference to the drawings. The drawings are used to better understand the embodiments of the present invention, and constitute a part of the specification to contribute to the interpretation of the present invention together with the embodiments of the present invention, but are not intended to limit the present invention. In the drawings, the same reference numerals generally represent the same parts or steps. [Figure 1] FIG. 1 is a schematic diagram of a scene in which an embodiment of the present invention is applied; [Diagram 2] FIG. 2 is a schematic diagram of another scenario in which an embodiment of the present invention is applied; [Diagram 3] 4 is a flowchart of a state information determining method according to an exemplary embodiment of the present invention. [Figure 4] 10 is a flowchart of determining first status information corresponding to a test object based on a status assessment parameter according to an exemplary embodiment of the present invention. [Diagram 5] 11 is a flowchart of a state information determining method according to another exemplary embodiment of the present invention. [Figure 6] 11 is a flowchart of determining second status information corresponding to a test object based on a status assessment parameter according to an exemplary embodiment of the present invention. [Figure 7] 13 is a flowchart of determining first status information based on a status assessment parameter and second status information according to an exemplary embodiment of the present invention. [Figure 8] 4 is a flowchart of determining a condition assessment parameter corresponding to a test object based on a preset analysis time interval according to an exemplary embodiment of the present invention. [Figure 9] 10 is a flowchart of determining a first resting heart rate parameter based on a first average heart rate parameter corresponding to each of a plurality of first time periods according to an exemplary embodiment of the present invention. [Figure 10] 11 is a flowchart of determining a condition assessment parameter corresponding to a test object based on a preset analysis time interval according to another exemplary embodiment of the present invention. [Figure 11] 11 is a flowchart of determining a condition assessment parameter corresponding to a test object based on a preset analysis time interval according to another exemplary embodiment of the present invention. [Figure 12] 11 is a flowchart of determining a condition assessment parameter corresponding to a test object based on a preset analysis time interval according to another exemplary embodiment of the present invention. [Figure 13] 4 is a flowchart of a control method according to an exemplary embodiment of the present invention. [Figure 14] 1 is a structural schematic diagram of a status information determining device according to an exemplary embodiment of the present invention; [Figure 15] FIG. 2 is a structural schematic diagram of a second determination module according to an exemplary embodiment of the present invention; [Figure 16] FIG. 2 is a structural schematic diagram of a status information determining device according to another exemplary embodiment of the present invention; [Figure 17] FIG. 2 is a structural schematic diagram of a second status information determination module according to an exemplary embodiment of the present invention; [Figure 18] FIG. 2 is a structural schematic diagram of a first determination module according to an exemplary embodiment of the present invention; [Figure 19] FIG. 11 is a structural schematic diagram of a first determination module according to another exemplary embodiment of the present invention; [Figure 20] FIG. 11 is a structural schematic diagram of a first determination module according to another exemplary embodiment of the present invention; [Figure 21]FIG. 11 is a structural schematic diagram of a first determination module according to another exemplary embodiment of the present invention; [Figure 22] FIG. 2 is a structural schematic diagram of a control device according to an exemplary embodiment of the present invention; [Figure 23] 1 is a structural schematic diagram of an electronic device according to an exemplary embodiment of the present invention; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0025] Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. Apparently, the embodiments described herein are only some of the embodiments of the present invention, and are not all of the embodiments of the present invention. It should be noted that the present invention is not limited to the exemplary embodiments described herein.

[0026] <Background to the invention> As is well known, neurohormones driven by sympathetic and parasympathetic nerves are easily influenced by many factors. In particular, neurohormones of cardiac patients suffering from heart failure or arrhythmia are highly influenced by factors such as day and night changes, progression of disease, sleep conditions, exercise or activity level, body position, drugs, and mood changes. Therefore, in the prior art, heart rate (HR) and heart rate variability (HRV) are generally used as diagnostic grounds capable of expressing neurohormones or as substitute measurement indicators. Specifically, heart rate is the number of times the heart beats per minute. Heart rate variability refers to the change in the difference in the cycle of each heartbeat. The calculation source of heart rate includes, but is not limited to, surface electrocardiogram, endocardial, epicardial electrocardiogram, electrocardiogram using subcutaneous electrodes, or ventricular heart rate or atrial heart rate calculated by R wave and P wave. In addition, heart rate may be calculated by other techniques, such as photoplethysmography (PPG).

[0027] However, both heart rate and heart rate variability are also very susceptible. For example, at night, heart rate and / or heart rate variability frequently change with sleep stages, and such changes are not necessarily related to neurohormones. And, from day to day, the states in the night sleep stages do not all overlap. Also, because of the low heart rate, patients with pacemakers or implantable cardioverter defibrillators are often paced at night. In this case, the patient's actual heart rate is "hidden" and cannot be represented by the heart rate data that can be measured. Furthermore, in the prior art, the measured daytime heart rate and daytime heart rate variability also include data such as exercise stages, mental arousal stages, and different body positions. However, the exercise stages and mental arousal stages can only represent temporary states, and such temporary changes vary from time to time (day to day). At the same time, diseases such as heart failure have a significant impact on the level and / or state of the patient's neurohormones, but are relatively long-term in terms of time. Therefore, in the prior art, it is difficult to determine state information of a test subject (eg, neurohormonal state information of a test subject) based on parameters such as heart rate and heart rate variability.

[0028] In view of the above technical problems, the basic idea of ​​the present invention proposes a state information determining method and apparatus, a control method and apparatus, a computer-readable storage medium and an electronic device.

[0029] The method for determining status information according to the present invention includes a step of determining a status evaluation parameter corresponding to a test subject based on a predetermined analysis time period, the status evaluation parameter including at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter and a second heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to the first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter corresponding to the second time period; and a step of determining first status information corresponding to the test subject based on the status evaluation parameter.

[0030] In the present invention, the first status information corresponding to the test subject is not directly determined based on the heart rate and / or heart rate variability parameters corresponding to the test subject, but is instead determined using the condition evaluation parameters corresponding to the test subject, so that the present invention can improve the accuracy and comparability of the determined first status information at different times, and thus contribute to favorable conditions for assisting in prediction of the condition of the test subject, such as disease progression, based on the determined first status information.

[0031] After explaining the basic principles of the present invention, some non-limiting embodiments of the present invention will now be presented with reference to the drawings.

[0032] <Example Scene> 1 is a schematic diagram of a scenario in which an embodiment of the present invention is applied. As shown in FIG. 1, the scenario in which the embodiment of the present invention is applied includes a server 1 and a medical device 2, where a communicable connection relationship exists between the server 1 and the medical device 2.

[0033] Specifically, the medical equipment 2 is used to collect reference parameters of the test subject. Here, the reference parameters include, but are not limited to, heart rate parameters and heart rate variability parameters. The server 1 determines a state evaluation parameter corresponding to the test subject based on a preset analysis time period, and determines first state information corresponding to the test subject based on the state evaluation parameter. Here, the state evaluation parameter includes at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter, and a second heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to a first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter corresponding to a second time period. That is, a state information determination method is realized in this scene.

[0034] Exemplarily, the server 1 determines the above-mentioned condition assessment parameters based on the reference parameters collected by the medical equipment 2 .

[0035] Furthermore, the server 1 is configured to obtain first status information corresponding to the test object, and control the working status of the medical system and / or the medical equipment 2 and / or the mobile device according to the first status information. That is, a control method is realized in this scene.

[0036] In the above-mentioned scenario shown in Figure 1, the server 1 is used to realize the state information determination method and / or control method, which can improve the adaptability of the scenario and effectively reduce the computational load of the medical equipment 2.

[0037] It should be noted that the present invention can also be applied to another scenario. Figure 2 is a schematic diagram of another scenario in which the embodiment of the present invention is applied. Specifically, the scenario includes a medical device 3, and the medical device 3 includes a parameter collection module 301 and a calculation module 302.

[0038] Specifically, the parameter collection module 301 in the medical equipment 3 is configured to collect reference parameters of the test subject, where the reference parameters include but are not limited to heart rate parameters and heart rate variability parameters, etc. The calculation module 302 determines a condition evaluation parameter corresponding to the test subject based on a preset analysis time period, and determines first condition information corresponding to the test subject based on the condition evaluation parameter, where the condition evaluation parameter includes at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter, and a second heart rate variability signature parameter, where the first heart rate signature parameter and the first heart rate variability signature parameter correspond to a first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter correspond to a second time period. That is, a condition information determination method is realized in this scene.

[0039] Illustratively, the calculation module 302 determines the above-mentioned condition assessment parameters based on the reference parameters collected by the parameter collection module 301 .

[0040] Further, the calculation module 302 is configured to obtain first status information corresponding to the test object, and control the working status of the medical system and / or the medical equipment 3 and / or the mobile device according to the first status information, i.e., a control method is realized in this scene.

[0041] In the above-mentioned scenario shown in Figure 2, the status information determination method and / or control method are realized using the medical equipment 3, so there is no need to perform data transmission operations with related devices such as a server, etc. Therefore, the above-mentioned scenario can ensure the real-time nature of the status information determination method and / or control method.

[0042] It should be noted that the medical equipment mentioned in the above scenario may be implantable medical devices (IMD) or wearable medical devices (WMD), and the embodiments of the present invention are not limited thereto.

[0043] Exemplary Methods 3 is a flowchart of a state information determining method according to an exemplary embodiment of the present invention. As shown in FIG. 3, the state information determining method according to the embodiment of the present invention includes the following steps.

[0044] In step S100, a condition evaluation parameter corresponding to the test object is determined based on a preset analysis time interval.

[0045] In an embodiment of the present invention, the condition assessment parameters include at least one of a first heart rate signature parameter, a first heart rate variability signature parameter, a second heart rate signature parameter and a second heart rate variability signature parameter, where the first heart rate signature parameter and the first heart rate variability signature parameter correspond to a first time period, and the second heart rate signature parameter and the second heart rate variability signature parameter correspond to a second time period.

[0046] Exemplarily, the first time interval includes a night time interval. For example, in the case of a 24-hour system, the first time interval is a time interval from 18:00 of one day to 6:00 of the next day. Preferably, the first time interval is a time interval from 22:00 of one day to 6:00 of the next day. Preferably, in the first time interval, the test subject is in a resting or sleeping state, so that noise is reduced and the accuracy of the finally obtained state evaluation parameter is increased. Here, the resting state refers to the body being in a resting state, and the sleeping state refers to the state in which the body is asleep and relatively still and in a "lying down" position.

[0047] Exemplarily, the second time period includes a daytime period. For example, in the case of a 24-hour system, the second time period is a time period from 6:00 to 18:00 of the day. Preferably, the second time period is a time period from 8:00 to 20:00 of the day. Preferably, in the second time period, the test subject is in a resting state or a low-volume exercise state, which reduces noise and increases the accuracy and comparability of the finally obtained state evaluation parameters. More preferably, in the second time period, the test subject is in a non-standing resting or non-exercising state. Exemplarily, the non-exercising state referred to herein can be determined based on a movement / body movement or other physiological parameter threshold. For example, if the real-time body movement signal of the test subject is lower than a predetermined threshold or does not exceed a preset exercise heart rate threshold, the test subject may be determined to be in a non-exercising state.

[0048] For example, the test object referred to in step S100 refers to a human body, i.e., determine the state evaluation parameters corresponding to the human body. Note that, determining the state evaluation parameters corresponding to the test object referred to in step S100 can mean calculating the state evaluation parameters corresponding to the test object.

[0049] It should be noted that the preset analysis time interval mentioned in step S100 may include one or more first time intervals and / or one or more second time intervals. For example, the preset analysis time interval is a one-week time interval including seven natural days.

[0050] In step S200, first status information corresponding to the test object is determined based on the status evaluation parameters.

[0051] Exemplarily, the first status information referred to in step S200 is information that can represent a status (e.g., a status of the heart) corresponding to the test subject. For example, the first status information is absolute trend change information and / or relative trend change information corresponding to the status evaluation parameter, which is determined based on the status evaluation parameter. Here, the absolute trend change information may be information in which a value changes with time, and the relative trend change information may be information in which a value changes relative to a reference value.

[0052] In practical application, a state evaluation parameter corresponding to the test object is first determined based on a preset analysis time period, and then a first state information corresponding to the test object is determined based on the state evaluation parameter.

[0053] In an embodiment of the present invention, instead of directly determining the first status information corresponding to the test subject based on the heart rate and / or heart rate variability parameters corresponding to the test subject, the first status information corresponding to the test subject is determined using the condition evaluation parameters corresponding to the test subject. Therefore, the embodiment of the present invention can improve the accuracy and comparability of the determined first status information at different times, and thus contribute to favorable conditions for assisting in prediction of the condition such as disease progression of the test subject based on the determined first status information.

[0054] 4 is a flowchart of determining first status information corresponding to a test object based on status evaluation parameters according to an exemplary embodiment of the present invention. Since the embodiment shown in FIG. 4 can be expanded based on the embodiment shown in FIG. 3, the following description will focus on the differences between the embodiment shown in FIG. 4 and the embodiment shown in FIG. 3, and will omit the common parts.

[0055] As shown in FIG. 4, in the state information determining method according to the embodiment of the present invention, determining first state information corresponding to the test object based on the state evaluation parameters includes the following steps.

[0056] In step S210, the numerical change information corresponding to the test object is determined based on the state evaluation parameters.

[0057] Exemplarily, the numerical value change information includes absolute value change trend information, for example, the absolute value change trend information includes three types, which respectively show an absolute upward trend within a preset time range, an absolute downward trend within a preset time range, and a relative stable trend within a preset time range.

[0058] In one embodiment of the present invention, a linear regression (absolute value vs. time) method is used to calculate a trend line that can represent the absolute value change information described above, although other statistical analysis methods can be used similarly.

[0059] For example, the condition evaluation parameters include a first heart rate characteristic parameter, and the first heart rate characteristic parameter includes a first average heart rate parameter and a first resting heart rate parameter. In this case, the absolute value change trend information can include the absolute value change trend information of the first average heart rate parameter and the absolute value change trend information of the first resting heart rate parameter, or a change trend of a combination of the absolute values ​​of both.

[0060] In addition, the condition evaluation parameters are not limited to the above-mentioned first average heart rate parameter and first resting heart rate parameter, and for detailed parameters included in the condition evaluation parameters and detailed representations and meanings of each parameter, reference can be made to the following examples (e.g., the examples shown in Figures 8 to 12).

[0061] For example, the numerical value change trend information is relationship information between a certain related coefficient of the condition evaluation parameter and a corresponding preset coefficient threshold value. Or, the numerical value change trend information is relationship information between a gradient value (or average value) of the condition evaluation parameter and a corresponding preset gradient value threshold value (or a preset average value threshold value). Preferably, when the gradient value (or average value) of the condition evaluation parameter is smaller than the corresponding preset gradient value threshold value (or the preset average value threshold value), the absolute value change trend information of the condition evaluation parameter can be defined as exhibiting a downward trend within a preset time range.

[0062] In addition, the specific values ​​of the above-mentioned preset coefficient threshold, preset gradient value threshold, and preset average value threshold can be set according to actual conditions, and the embodiment of the present invention does not limit the same.

[0063] In step S220, the first state information is determined based on the value change information.

[0064] For example, when the numerical value change information includes numerical value change trend information, the first status information determined correspondingly may be status information related to "exhibiting an upward trend within a preset time range."

[0065] In one embodiment of the present invention, the value change trends include three types: "up", "down" and "stable". In a simple case, for example, when the value corresponds to heart rate variability, the three types of trends respectively correspond to the three states of the test subject: "getting better", "getting worse" and "stable". When the value corresponds to resting heart rate, the three types of trends respectively correspond to the three states of the test subject: "getting worse", "getting better" and "stable". When the corresponding value is a predetermined combination of the two, the three types of trends respectively correspond to the three states according to the specific calculation method of the combination.

[0066] The state information determining method according to the embodiment of the present invention determines the numerical change information corresponding to the test object based on the state evaluation parameters, and determines the first state information according to the numerical change information, thereby achieving determining the first state information corresponding to the test object based on the state evaluation parameters. Because the numerical change information can represent the true state situation of the test object to a certain extent, the embodiment of the present invention can effectively reduce the difference between the determined first state information and the true state, and improve the authenticity of the determined first state information.

[0067] Fig. 5 is a flowchart of a method for determining status information according to another exemplary embodiment of the present invention. Since the embodiment shown in Fig. 5 can be expanded based on the embodiment shown in Fig. 3, the following description will focus on the differences between the embodiment shown in Fig. 5 and the embodiment shown in Fig. 3, and will omit the common parts.

[0068] As shown in FIG. 5, the status information determining method according to an embodiment of the present invention further includes the following steps before the step of determining first status information corresponding to the test object based on the status evaluation parameters:

[0069] Step S 105 In determining second status information corresponding to the test object based on the status evaluation parameter.

[0070] Exemplarily, step S 105The second status information referred to in is normal status information corresponding to the test subject. Correspondingly, the first status information referred to in the following step S230 is real-time status information corresponding to the test subject. Preferably, the normal status information is status information corresponding to the test subject being in a healthy state, a disease stable state, or a state where the disease status is not changing rapidly.

[0071] In addition, in the state information determining method according to the embodiment of the present invention, determining first state information corresponding to the test object based on the state evaluation parameters includes the following steps.

[0072] In step S230, the first state information is determined based on the state evaluation parameter and the second state information.

[0073] In practical application, first, a state evaluation parameter corresponding to the test object is determined based on a preset analysis time interval, and then a first state information corresponding to the test object is determined based on the determined state evaluation parameter and the second state information.

[0074] Compared with the embodiment of Fig. 3, the embodiment of the present invention uses the determined second status information to assist in determining the first status information. Compared with determining the first status information based only on the status evaluation parameters, the embodiment of the present invention can further improve the accuracy of the determined first status information. In particular, when the second status information is "normal" or disease stable status information corresponding to the test subject, the embodiment of the present invention can fully reflect the individual characteristics of the test subject, thereby achieving an improvement in the accuracy of the determined first status information.

[0075] 6 is a flowchart of determining second status information corresponding to a test object based on status evaluation parameters according to an exemplary embodiment of the present invention. Since the embodiment shown in FIG. 6 can be expanded based on the embodiment shown in FIG. 5, the following description will focus on the differences between the embodiment shown in FIG. 6 and the embodiment shown in FIG. 5, and will omit the common parts.

[0076] 6, in the method for determining status information according to the embodiment of the present invention, the predetermined analysis time period includes a plurality of predetermined analysis time periods, and the step of determining second status information corresponding to the test object according to the status evaluation parameters includes the following steps:

[0077] Step S 1051 In the step of determining a condition evaluation level corresponding to each of a plurality of predetermined analysis time periods based on the condition evaluation parameters.

[0078] Illustratively, the above-mentioned predetermined analysis time period is a time window having a predetermined length of time.

[0079] The above-mentioned condition evaluation levels can be set based on detailed values ​​of the condition evaluation parameters corresponding to each of the predetermined analysis time periods.

[0080] Step S 1052 In step 2, a minimum level or a reference level (value) that satisfies the normal state level requirement is identified from among the state evaluation levels corresponding to each of a plurality of pre-set analysis time periods.

[0081] Exemplarily, step S 1052 The normal state level requirement referred to in is a general normal state level. For example, if the test subject is an adult, the normal state level is a normal state level corresponding to an adult. Or, if the test subject is a patient (e.g., a patient with chronic heart failure), the "normal state level" is a stable state level of the disease corresponding to the patient. The state information in this state becomes a reference level (value). In one embodiment of the present invention, the state information of the reference level may be determined by a doctor or other related party by judging the state of the patient, or may be obtained by remotely collecting the patient's medical condition, medication status, and / or patient information (e.g., weight, symptoms, etc.) and using a predetermined algorithm. As a method for collecting the patient's medical condition and medication status, they can be collected automatically or artificially from the hospital's HIS system or the patient's electronic medical history.

[0082] Preferably, step S 1052 The normal state level and step S mentioned in 1051 The state evaluation levels mentioned in step S correspond to each other. 1052 Based on the normal state level mentioned in step S 1051 The condition assessment level mentioned above can be determined.

[0083] In another embodiment of the present invention, the step of identifying a minimum or reference level among the condition evaluation levels corresponding to each of the plurality of pre-defined analysis time periods that satisfies the normal condition level requirement includes identifying a minimum or reference level (value) among the condition evaluation levels corresponding to each of the plurality of pre-defined analysis time periods that continuously satisfies the normal condition level requirement.

[0084] Step S 1053 In the above, the status information of the predetermined analysis time period corresponding to the minimum level or the reference level is set as the second status information.

[0085] In an embodiment of the present invention, the status information of a predetermined analysis time period corresponding to the minimum level or reference level that meets the normal status level requirements is used as the second status information, so that the embodiment of the present invention can greatly improve the accuracy of the determined second status information and reduce the possibility of erroneous judgment, thereby ultimately improving the accuracy of the first status information determined based on the status evaluation parameters and the second status information.

[0086] 7 is a flowchart of determining first status information based on status evaluation parameters and second status information according to an exemplary embodiment of the present invention. Since the embodiment shown in FIG 7 can be expanded based on the embodiment shown in FIG 5, the following description will focus on the differences between the embodiment shown in FIG 7 and the embodiment shown in FIG 5, and will omit the common parts.

[0087] As shown in FIG. 7, in the state information determining method according to the embodiment of the present invention, determining the first state information according to the state evaluation parameter and the second state information includes the following steps.

[0088] In step S231, the state evaluation parameter is compared with the second state information to obtain a comparison result.

[0089] In step S232, the first status information is determined based on the comparison result.

[0090] In an embodiment of the present invention, the state evaluation parameter and the second state information are compared to obtain a comparison result, and the first state information is determined based on the comparison result, thereby achieving the determination of the first state information based on the state evaluation parameter and the second state information.

[0091] 8 is a flow chart of determining a condition evaluation parameter corresponding to a test object based on a preset analysis time interval according to an exemplary embodiment of the present invention. Since the embodiment shown in FIG. 8 can be expanded based on the embodiment shown in FIG. 3, the following description will focus on the differences between the embodiment shown in FIG. 8 and the embodiment shown in FIG. 3, and will omit the common parts.

[0092] As shown in Fig. 8, in the method for determining condition information according to the embodiment of the present invention, the condition evaluation parameters include a first heart rate signature parameter, and the first heart rate signature parameter includes a first average heart rate parameter and a first resting heart rate parameter. And the step of determining the condition evaluation parameters corresponding to the test subject according to the predetermined analysis time period includes the following steps:

[0093] In step S110, a plurality of first time slots corresponding to a first time period in a preset analysis time period are determined.

[0094] For example, the first time period is a time window having a duration of 60 seconds. R .

[0095] In step S120, a first average heart rate parameter corresponding to each of the first time periods is determined based on the first time periods. In other words, steps S110 and S120 refer to determining first average heart rate parameters corresponding to each of a plurality of time windows based on a first time period included in a pre-set analysis time period.

[0096] Optionally, a first Mean Heart Rate (MHR) parameter corresponding to each time window is an average value of the heart rates measured within that time window.

[0097] In step S130, a first resting heart rate parameter is determined based on the first average heart rate parameters corresponding to each of the plurality of first time periods.

[0098] In one embodiment of the present invention, the first resting heart rate parameter is a Sleep Rest Heart Rate (Sleep RHR) parameter.

[0099] Since the first resting heart rate parameter is determined based on the first average heart rate parameters corresponding to each of the plurality of first time periods, the obtained first resting heart rate parameter can fully reflect the characteristics of the first average heart rate parameters corresponding to each of the plurality of first time periods, so that the obtained first resting heart rate parameter can better represent the heart rate status of the test subject in the first time period.

[0100] Compared with the real-time heart rate, the first average heart rate parameter and the first resting heart rate parameter can more accurately represent the heart rate status of the test subject in the first time period, so that by predicting the neurohormonal levels and / or states (i.e., the first state information) of the test subject in the first time period based on the first average heart rate parameter and the first resting heart rate parameter obtained according to the embodiment of the present invention, a more accurate neurohormonal prediction result can be obtained.

[0101] Another embodiment of the present invention is obtained by expanding on the embodiment shown in Fig. 8. In this embodiment of the present invention, the method further includes a step of removing non-resting time periods corresponding to each of the plurality of first time periods before the step of determining a first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods. Here, the step of determining a first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods includes a step of determining a first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods after the non-resting time periods are removed.

[0102] Exemplarily, non-resting time periods are, for example, snoring time periods and / or time periods during which breathing frequency is unstable (eg, sleep apnea).

[0103] In one embodiment of the present invention, the non-resting time period further includes a time period corresponding to a special stage during sleep in which the degree of physical activity is high. For example, the special stage during sleep is a rapid eye movement (REM) stage, in which the heart rate changes drastically during dreaming. As another example, the non-resting time period further includes a time period corresponding to an incident such as a premature atrial contraction (PAC), a premature ventricular contraction (PVC), atrial tachycardia or atrial arrhythmia (e.g., atrial fibrillation, etc.), and a ventricular tachycardia (VT).

[0104] In view of the fact that the non-resting time period has strong specificity and cannot well represent the typical state of the test subject, the embodiment of the present invention removes the non-resting time period, thereby improving the representation ability of the determined parameters such as the first average heart rate parameter and the first resting heart rate variability parameter.

[0105] 9 is a flowchart of determining a first resting heart rate parameter based on a first average heart rate parameter corresponding to each of a plurality of first time periods according to an exemplary embodiment of the present invention. Since the embodiment shown in FIG. 9 can be expanded based on the embodiment shown in FIG. 8, the following description will focus on the differences between the embodiment shown in FIG. 9 and the embodiment shown in FIG. 8, and will omit the common parts.

[0106] As shown in FIG. 9, in the method for determining status information according to an embodiment of the present invention, the step of determining a first resting heart rate parameter based on a first average heart rate parameter corresponding to each of a plurality of first time periods includes the following steps:

[0107] In step S131, the minimum first average heart rate parameter is identified from among the first average heart rate parameters corresponding to each of the plurality of first time slots.

[0108] In step S132, the smallest first average heart rate parameter is determined as the first resting heart rate parameter.

[0109] For example, the number of first time periods is 5, which are first time period a, first time period b, first time period c, first time period d, and first time period e. Correspondingly, the first average heart rate parameter corresponding to the first time period a is 80 beats / min, the first average heart rate parameter corresponding to the first time period b is 85 beats / min, the first average heart rate parameter corresponding to the first time period c is 90 beats / min, the first average heart rate parameter corresponding to the first time period d is 75 beats / min, and the first average heart rate parameter corresponding to the first time period e is 95 beats / min. Obviously, the first average heart rate parameter corresponding to the first time period d (75 beats / min) is the smallest first average heart rate parameter. Therefore, as described in step S132, the first average heart rate parameter corresponding to the first time period d (75 beats / min) can be determined as the first resting heart rate parameter.

[0110] The embodiment of the present invention can achieve determining the first resting heart rate parameter based on the first average heart rate parameters corresponding to the plurality of first time periods by identifying the minimum first average heart rate parameter among the first average heart rate parameters corresponding to the plurality of first time periods, and determining the minimum first average heart rate parameter as the first resting heart rate parameter. The minimum first average heart rate parameter among the first average heart rate parameters corresponding to the plurality of first time periods can represent the heart rate characteristics of the test subject in the first time period to a certain extent, so that the embodiment of the present invention can improve the prediction accuracy and comparability of the first status information.

[0111] Fig. 10 is a flow chart of determining a condition evaluation parameter corresponding to a test object based on a preset analysis time period according to another exemplary embodiment of the present invention. Since the embodiment shown in Fig. 10 can be expanded based on the embodiment shown in Fig. 8, the following description will focus on the difference between the embodiment shown in Fig. 10 and the embodiment shown in Fig. 8, and will omit the common parts.

[0112] As shown in FIG. 10, in the status information determining method according to the embodiment of the present invention, after the step of determining a first resting heart rate parameter based on a first average heart rate parameter corresponding to each of a plurality of first time periods, the method further includes the following steps:

[0113] In step S140, a first time period corresponding to the first resting heart rate parameter is determined as a first resting time period.

[0114] In step S150, the heart rate variability parameters corresponding to the first resting time period are determined as first resting heart rate variability parameters.

[0115] In one embodiment of the present invention, the first rest heart rate variability parameter is a Sleep Rest Heart Rate Variability (Sleep RHRV) parameter.

[0116] Compared to the prior art, embodiments of the present invention can improve the ability of the obtained first resting heart rate variability parameter to represent state information (e.g., neurohormonal levels and / or state) of the test subject during the first time period because the obtained first resting heart rate variability parameter is determined based on the first resting heart rate parameter.

[0117] In addition, in another embodiment of the present invention, the first resting heart rate variability parameter may be determined first, and then the first resting heart rate parameter may be determined (this is also applicable to the second resting heart rate variability parameter and the second resting heart rate parameter, that is, the second resting heart rate parameter may be determined first, and then the second resting heart rate parameter may be determined). For example, the first heart rate variability parameter corresponding to each of the first time periods is determined based on the first time periods, and then the first time period corresponding to the first heart rate variability parameter is determined as the first resting time period, and the average heart rate parameter corresponding to the first resting time period is determined as the first resting heart rate parameter. Here, the step of determining the first resting heart rate variability parameter based on the first heart rate variability parameters corresponding to each of the first time slots can be performed to determine the first resting heart rate variability parameter based on the first time slot corresponding to the maximum first heart rate variability parameter among the first heart rate variability parameters corresponding to each of the first time slots. Here, the heart rate variability parameter may be described by other statistics other than maximum, such as a 75% value, and the average heart rate parameter may be described by other statistics, such as a 25% value.

[0118] Fig. 11 is a flow chart of determining a condition evaluation parameter corresponding to a test object based on a preset analysis time period according to another exemplary embodiment of the present invention. Since the embodiment shown in Fig. 11 can be expanded based on the embodiment shown in Fig. 3, the following description will focus on the difference between the embodiment shown in Fig. 11 and the embodiment shown in Fig. 3, and will omit the common parts.

[0119] As shown in Fig. 11, in the method for determining condition information according to the embodiment of the present invention, the condition evaluation parameters include a second heart rate signature parameter, and the second heart rate signature parameter includes a second average heart rate parameter and a second resting heart rate parameter. And the step of determining the condition evaluation parameters corresponding to the test subject according to the predetermined analysis time period includes the following steps:

[0120] In step S160, a plurality of second time slots corresponding to a second time period are determined in the predetermined analysis time period.

[0121] For example, the second time period is a time window having a duration of 60 seconds. R .

[0122] In step S170, second average heart rate parameters corresponding to each of the second time periods are determined based on the second time periods. In other words, steps S160 and S170 refer to determining second average heart rate parameters corresponding to each of a plurality of time windows based on a plurality of time windows corresponding to a second time period included in a pre-set analysis time period.

[0123] Optionally, a second Mean Heart Rate (MHR) parameter corresponding to each time window is the average value of the heart rates that can be measured within that time window.

[0124] In step S180, a second resting heart rate parameter is determined based on the second average heart rate parameters corresponding to each of the plurality of second time periods.

[0125] In one embodiment of the present invention, the second resting heart rate parameter is a Day Rest Heart Rate (Day RHR) parameter.

[0126] Since the second resting heart rate parameter is determined based on the second average heart rate parameters corresponding to the plurality of second time periods, respectively, the obtained second resting heart rate parameter can fully reflect the characteristics of the second average heart rate parameters corresponding to the plurality of second time periods, respectively, so that the obtained second resting heart rate parameter can better represent the heart rate status of the test subject in the second time period.

[0127] Compared with the real-time heart rate, the second average heart rate parameter and the second resting heart rate parameter can more accurately represent the heart rate status of the test subject in the second time period, so that more accurate results can be obtained by determining the state information (such as the level and / or state of neurohormones) of the test subject in the second time period based on the second average heart rate parameter and the second resting heart rate parameter obtained by the embodiment of the present invention.

[0128] Another embodiment of the present invention is obtained by expanding on the embodiment shown in Fig. 11. In this embodiment of the present invention, the method further includes a step of removing non-resting time periods corresponding to each of the plurality of second time periods before the step of determining second average heart rate parameters corresponding to each of the plurality of second time periods based on the plurality of second time periods. Here, the step of determining second average heart rate parameters corresponding to each of the plurality of second time periods based on the plurality of second time periods includes a step of determining second average heart rate parameters corresponding to each of the plurality of second time periods based on the plurality of second time periods after the non-resting time periods are removed.

[0129] Another embodiment of the present invention is obtained by expanding on the embodiment shown in Fig. 11. In this embodiment of the present invention, the step of determining the second resting heart rate parameter based on the second average heart rate parameters corresponding to the plurality of second time periods respectively includes: determining a minimum second average heart rate parameter among the second average heart rate parameters corresponding to the plurality of second time periods respectively, and determining the minimum second average heart rate parameter as the second resting heart rate parameter. It may also be described by other statistics, such as a 25% value.

[0130] For example, the number of second time periods is 3, which are second time period a, second time period b, and second time period c. Correspondingly, the second average heart rate parameter corresponding to the second time period a is 80 beats / min, the second average heart rate parameter corresponding to the second time period b is 85 beats / min, and the second average heart rate parameter corresponding to the second time period c is 90 beats / min. Obviously, the second average heart rate parameter corresponding to the second time period a (80 beats / min) is the smallest second average heart rate parameter. Therefore, the second average heart rate parameter corresponding to the second time period a (80 beats / min) can be determined as the second resting heart rate parameter.

[0131] Similarly, the smallest second average heart rate parameter among the second average heart rate parameters corresponding to each of the plurality of second time periods can represent the heart rate characteristics of the test subject in the second time period to a certain extent, so that the embodiment of the present invention can further increase the effective information contained in the condition evaluation parameters. When determining the neurohormonal levels and / or condition information of the test subject based on the condition evaluation parameters, the embodiment of the present invention can improve the prediction accuracy and comparability of the neurohormonal levels and / or condition information.

[0132] Fig. 12 is a flow chart of determining a condition evaluation parameter corresponding to a test object based on a preset analysis time interval according to another exemplary embodiment of the present invention. Since the embodiment shown in Fig. 12 can be expanded based on the embodiment shown in Fig. 11, the following description will focus on the differences between the embodiment shown in Fig. 12 and the embodiment shown in Fig. 11, and will omit the common parts.

[0133] As shown in FIG. 12, in the status information determining method according to the embodiment of the present invention, after the step of determining a second resting heart rate parameter based on a second average heart rate parameter corresponding to each of a plurality of second time periods, the method further includes the following steps:

[0134] In step S191, the second time slot corresponding to the second resting heart rate parameter is determined as the third resting time slot.

[0135] In step S192, the heart rate variability parameters corresponding to the third resting time period are determined as second resting heart rate variability parameters.

[0136] In one embodiment of the present invention, the second resting heart rate variability parameter is a Day Rest Heart Rate Variability (Day RHRV) parameter.

[0137] Since the obtained second resting heart rate variability parameter is determined based on the second resting heart rate parameter, compared to the prior art, embodiments of the present invention can improve the ability of the determined second resting heart rate variability parameter to represent state information (e.g., neurohormonal levels and / or state information) of the test subject during the second time period.

[0138] 13 is a flowchart of a control method according to an exemplary embodiment of the present invention. As shown in FIG. 13, the control method according to the embodiment of the present invention includes the following steps.

[0139] In step S300, first status information corresponding to the test object is obtained.

[0140] Exemplarily, the first status information mentioned in step S300 is obtained by the status information determining method described in any of the above-mentioned embodiments.

[0141] In step S400, control an operation state of the medical system and / or the medical equipment and / or the mobile device based on the first status information.

[0142] Illustratively, the medical system mentioned in step S400 is a medical system that can be installed in a medical facility.

[0143] For example, the operating state of the medical equipment may include a state in which a warning is indicated using a warning light of various colors (e.g., yellow and / or red). Note that the warning by the medical equipment may not require a warning light, but may instead use vibration, sound, or a combination thereof to achieve the warning purpose.

[0144] For example, the first status information is absolute trend change information, and the absolute trend change information shows a continuous rising state within a preset time period. In this case, the yellow warning light of the medical equipment can be turned on to achieve a warning effect. Alternatively, if the yellow warning light is turned on twice in succession, the red warning light of the medical equipment can be turned on to achieve a key warning effect.

[0145] In another embodiment of the present invention, controlling the operating state of the medical equipment includes controlling the start / stop state of the medical equipment, controlling the start / stop state of other equipment communicatively connected to the medical equipment, etc.

[0146] In one embodiment of the present invention, the mobile device includes, but is not limited to, a mobile device of a patient or a patient's family, a doctor, a nurse, a tablet computer, etc. Exemplarily, controlling the working state of the mobile device based on the first status information includes, but is not limited to, controlling an emergency information notification state of the mobile device based on the first status information, so as to allow the patient and related parties to know the patient's condition in a timely manner.

[0147] In practical application, firstly, the first status information corresponding to the test object is obtained, and then the working status of the medical system and / or medical equipment is controlled according to the first status information.

[0148] A control method according to an embodiment of the present invention controls the operating status of a medical system and / or medical equipment based on first status information, thereby realizing timely and effective notification and / or advance warning of a status condition corresponding to the test object based on status information corresponding to the test object.

[0149] Exemplary Devices 14 is a structural schematic diagram of a status information determining device according to an exemplary embodiment of the present invention. As shown in FIG. 14, the status information determining device according to the embodiment of the present invention includes a first determining module 100 configured to determine a status evaluation parameter corresponding to the test object based on a preset analysis time interval, and a second determining module 200 configured to determine first status information corresponding to the test object based on the status evaluation parameter.

[0150] Figure 15 is a structural schematic diagram of a second determination module according to an exemplary embodiment of the present invention. The embodiment shown in Figure 15 can be expanded based on the embodiment shown in Figure 14, so the following description will focus on the differences between the embodiment shown in Figure 15 and the embodiment shown in Figure 14, and omit the common parts.

[0151] As shown in FIG. 15, in the status information determination device according to an embodiment of the present invention, the second determination module 200 includes a numerical change information determination unit 210 configured to determine numerical change information corresponding to the test object based on the status evaluation parameters, and a first status information determination unit 220 configured to determine first status information based on the numerical change information.

[0152] Figure 16 is a structural schematic diagram of a status information determining device according to another exemplary embodiment of the present invention. The embodiment shown in Figure 16 can be expanded based on the embodiment shown in Figure 14, so the following description will focus on the differences between the embodiment shown in Figure 16 and the embodiment shown in Figure 14, and omit the common parts.

[0153] As shown in FIG. 16, the state information determining apparatus according to the embodiment of the present invention includes a second state information determining module, configured to determine second state information corresponding to the test object based on the state evaluation parameter. 105 It further comprises:

[0154] And in the embodiment of the present invention, the second determining module 200 includes a determining unit 230 configured to determine the first state information according to the state assessment parameter, the second state information.

[0155] In an embodiment of the present invention, the determining unit 230 is further configured to compare the state assessment parameter with the second state information to obtain a comparison result, and determine the first state information according to the comparison result.

[0156] Figure 17 is a structural schematic diagram of a second status information determining module according to an exemplary embodiment of the present invention. The embodiment shown in Figure 17 can be expanded based on the embodiment shown in Figure 16, so the following description will focus on the differences between the embodiment shown in Figure 17 and the embodiment shown in Figure 16, and omit the common parts.

[0157] As shown in FIG. 17, in the state information determining device according to the embodiment of the present invention, a second state information determining module 105 a condition assessment level determining unit configured to determine a condition assessment level corresponding to each of a plurality of predetermined analysis time periods based on the condition assessment parameters. 1051 and a level determination unit configured to determine a minimum or reference level (value) that satisfies a normal state level requirement among the state evaluation levels corresponding to each of a plurality of predefined analysis time periods. 1052 and a second status information determining unit configured to set the status information of a predetermined analysis time period corresponding to the minimum level or the reference level as the second status information. 1053 And, it is equipped with.

[0158] Figure 18 is a structural schematic diagram of a first determination module according to an exemplary embodiment of the present invention. The embodiment shown in Figure 18 can be expanded based on the embodiment shown in Figure 14, so the following description will focus on the differences between the embodiment shown in Figure 18 and the embodiment shown in Figure 14, and will omit the common parts.

[0159] As shown in FIG. 18 , in the status information determining device according to the embodiment of the present invention, the first determining module 100 includes: a first time period determining unit 110 configured to determine a plurality of first time periods corresponding to a first time period in a preset analysis time period; a first average heart rate parameter determining unit 120 configured to determine first average heart rate parameters corresponding to each of the plurality of first time periods based on the plurality of first time periods; and a first resting heart rate parameter determining unit 130 configured to determine a first resting heart rate parameter based on the first average heart rate parameters corresponding to each of the plurality of first time periods.

[0160] In one embodiment of the present invention, the first resting heart rate parameter determination unit 130 is further configured to identify a minimum first average heart rate parameter among the first average heart rate parameters corresponding to each of the multiple first time periods, and determine the minimum first average heart rate parameter as the first resting heart rate parameter.

[0161] Figure 19 is a structural schematic diagram of a first determination module according to another exemplary embodiment of the present invention. The embodiment shown in Figure 19 can be expanded based on the embodiment shown in Figure 18, so the following description will focus on the differences between the embodiment shown in Figure 19 and the embodiment shown in Figure 18, and will omit the common parts.

[0162] As shown in FIG. 19, in the status information determination device according to an embodiment of the present invention, the first determination module 100 further includes a first resting time period determination unit 140 configured to determine a first time period corresponding to a first resting heart rate parameter as a first resting time period, and a first resting heart rate variability parameter determination unit 150 configured to determine a heart rate variability parameter corresponding to the first resting time period as a first resting heart rate variability parameter.

[0163] Figure 20 is a structural schematic diagram of a first determination module according to another exemplary embodiment of the present invention. The embodiment shown in Figure 20 can be expanded based on the embodiment shown in Figure 14, so the following description will focus on the differences between the embodiment shown in Figure 20 and the embodiment shown in Figure 14, and omit the common parts.

[0164] As shown in FIG. 20 , in the status information determining device according to the embodiment of the present invention, the first determining module 100 includes: a second time period determining unit 160 configured to determine a plurality of second time periods corresponding to a second time period in a preset analysis time period; a second average heart rate parameter determining unit 170 configured to determine second average heart rate parameters corresponding to each of the plurality of second time periods based on the plurality of second time periods; and a second resting heart rate parameter determining unit 180 configured to determine second resting heart rate parameters based on the second average heart rate parameters corresponding to each of the plurality of second time periods.

[0165] Figure 21 is a structural schematic diagram of a first determination module according to another exemplary embodiment of the present invention. The embodiment shown in Figure 21 can be expanded based on the embodiment shown in Figure 20, so the following description will focus on the differences between the embodiment shown in Figure 21 and the embodiment shown in Figure 20, and omit the common parts.

[0166] As shown in FIG. 21, in the status information determination device according to an embodiment of the present invention, the first determination module 100 further includes a third resting time period determination unit 191 configured to determine a second time period corresponding to a second resting heart rate parameter as a third resting time period, and a second resting heart rate variability parameter determination unit 192 configured to determine a heart rate variability parameter corresponding to the third resting time period as a second resting heart rate variability parameter.

[0167] 22 is a structural schematic diagram of a control device according to an exemplary embodiment of the present invention. As shown in FIG. 22, the control device according to the embodiment of the present invention includes an acquisition module 300 configured to acquire first status information corresponding to a test object, and a control module 400 configured to control an operating status of a medical system and / or medical equipment according to the first status information.

[0168] In addition, the first determination module 100 and the second state information determination module 102 in the state information determination device according to FIG. 105 and a second determination module 200, a first time period determination unit 110, a first average heart rate parameter determination unit 120, a first resting heart rate parameter determination unit 130, a first resting time period determination unit 140, a first resting heart rate variability parameter determination unit 150, a second time period determination unit 160, a second average heart rate parameter determination unit 170, a second resting heart rate parameter determination unit 180, a third resting time period determination unit 191 and a second resting heart rate variability parameter determination unit 192 included in the first determination module 100, and a second status information determination module 105 State assessment level determination unit included in 1051 , Level Confirmed Unit 1052 and a second state information determining unit 1053 and the second determination module 200 includes Number The operations and functions of the change information determining unit 210, the first state information determining unit 220 and the determining unit 230 may be referred to in the state information determining method according to the above-mentioned FIGS. 3 to 12, and will not be described again to avoid duplication.

[0169] It should be noted that the operation and functions of the acquisition module 300 and the control module 400 in the control device according to FIG. 22 can be referred to in the above-mentioned control method according to FIG. 13, and thus the description will be omitted to avoid duplication.

[0170] Hereinafter, an electronic device according to an embodiment of the present invention will be described with reference to Fig. 23. Fig. 23 is a structural schematic diagram of an electronic device according to an exemplary embodiment of the present invention.

[0171] As shown in FIG. 23, an electronic device 2300 includes one or more processors 2301 and a memory 2302 .

[0172] The processor 2301 may be a central processing unit (CPU) or other type of processing unit having data processing and / or instruction execution capabilities and may control other components in the electronic device 2300 to perform desired functions.

[0173] The memory 2302 may include one or more computer program products. The computer program products may include various types of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored in the computer-readable storage medium, and the processor 2301 may execute the program instructions to realize the above-described method for determining status information, the control method, and / or other desired functions according to each embodiment of the present invention. The computer-readable storage medium may further store various contents, such as status evaluation information.

[0174] In one example, the electronic device 2300 may further include input devices 2303 and output devices 2304, and these components are connected together by a bus system and / or other type of connection means (not shown).

[0175] The input device(s) 2303 may include, for example, a keyboard, a mouse, and the like.

[0176] The output device 2304 can output various information (including the first state information that can be determined) to the outside. The output device 2304 can include, for example, a display, a speaker, a vibrator, a printer, a communication network, and a remote output device connected thereto (for example, short message, WeChat, voice, video, email, mobile phone), etc.

[0177] Of course, for the sake of simplicity, Fig. 23 shows only some components related to the present invention in the electronic device 2300, and omits components such as buses, input / output ports, etc. In addition, the electronic device 2300 may include any other suitable components according to the detailed application.

[0178] In addition to the methods and devices described above, an embodiment of the present invention may also be a computer program product having computer program instructions which, when executed by a processor, cause the processor to perform the steps of the state information determination method and control method according to each embodiment of the present invention described herein.

[0179] The computer program product may include program code for performing operations according to embodiments of the present invention compiled in any combination of one or more programming languages, including object-oriented programming languages ​​(e.g., Java, C++, etc.), and further including general procedural programming languages ​​(e.g., "C" or similar programming languages). The program code may be executed entirely on the user computing device, partially on the user device, as a separate software pack, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0180] Furthermore, an embodiment of the present invention may be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, cause the processor to perform the steps of the state information determination method and control method according to each embodiment of the present invention described herein.

[0181] A computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include an electrical connection having one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), a programmable erasable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical memory component, a magnetic memory component, or any suitable combination of the above.

[0182] Although the basic principles of the present invention have been described above based on specific embodiments, the advantages, merits, effects, etc. mentioned in the present invention are merely illustrative and not limiting. These advantages, merits, effects, etc. should not be considered as essential to any embodiment of the present invention. Furthermore, the detailed details described above are merely illustrative and for the purpose of aiding understanding, and are not limiting. The details described above do not necessarily limit the present invention to be realized with the detailed details described above.

[0183] Block diagrams of devices, apparatus, facilities, and systems according to the present invention are illustrative examples only and are not intended to require or imply that they must be connected, arranged, or configured in the manner depicted in the block diagrams. As will be understood by those skilled in the art, these devices, apparatus, facilities, and systems can be connected, arranged, or configured in any manner. Terms such as "including," "comprising," and "having" are open-ended terms and are interchangeable, meaning "including but not limited to." As used herein, the terms "or" and "and" mean "and / or" and are interchangeable, unless the context clearly dictates otherwise. As used herein, the term "for example" means "for example, but not limited to" and is interchangeable.

[0184] Furthermore, in the apparatus, devices and methods according to the present invention, each part or each step can be disassembled and / or recombined, which disassembly and / or recombination should be considered as equivalent forms of the present invention.

[0185] The above description of the embodiments is disclosed to enable any person skilled in the art to realize or use the present invention. Various modifications of these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments without departing from the scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments disclosed herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0186] The foregoing description has been presented for purposes of illustration and description, and is not intended to limit the embodiments of the present invention to the precise form disclosed herein. While a number of exemplary aspects and embodiments have been described above, those skilled in the art will appreciate modifications, variations, additions, and subcombinations thereof.

Claims

1. A method for determining status information executed by a server or medical equipment, comprising: determining a condition evaluation parameter corresponding to the test subject based on a preset analysis time period, the condition evaluation parameter including at least one of a first heart rate signature parameter and a first heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to a first time period, the first heart rate signature parameter including a first average heart rate parameter and a first resting heart rate parameter, the first heart rate variability signature parameter including a first resting heart rate variability parameter, and the first time period being a nighttime period or a daytime period; determining second status information corresponding to the test object based on the status evaluation parameter; determining first status information corresponding to the test object based on the status evaluation parameter and the second status information; The first status information is status information of neurohormonal activity of the test subject, and the second status information is normal status information or disease stable status information of the test subject. A method for determining status information.

2. The second status information is status information corresponding to a minimum level or a reference level that satisfies a normal status level requirement for the test object.

2. The method of claim 1, wherein the state information is determined based on the determined state information.

3. The predetermined analysis time period includes a plurality of predetermined analysis time slots, and the step of determining second status information corresponding to the test object based on the status evaluation parameters includes: determining a condition assessment level corresponding to each of the plurality of predetermined analysis time periods based on the condition assessment parameters; Identifying a minimum or reference level that satisfies a normal condition level requirement from among the condition evaluation levels corresponding to each of the plurality of predetermined analysis time periods; and setting status information of a predetermined analysis time period corresponding to the minimum level or the reference level as the second status information.

2. The method of claim 1, wherein the state information is determined based on the determined state information.

4. The step of determining the first status information based on the status evaluation parameter and the second status information includes: comparing the condition evaluation parameter with the second condition information to obtain a comparison result; determining the first status information based on the comparison result.

2. The method of claim 1, wherein the state information is determined based on the determined state information.

5. the condition assessment parameter includes the first heart rate signature parameter, The step of determining a condition evaluation parameter corresponding to the test object based on a predetermined analysis time interval includes: determining a plurality of first time slots corresponding to the first time interval in the predetermined analysis time interval; determining a first average heart rate parameter corresponding to each of the first time periods based on the plurality of first time periods; determining the first resting heart rate parameter based on first average heart rate parameters corresponding to each of the plurality of first time periods.

2. The method of claim 1, wherein the state information is determined based on the determined state information.

6. determining the first resting heart rate parameter based on a first average heart rate parameter corresponding to each of the plurality of first time periods, determining a minimum first average heart rate parameter among the first average heart rate parameters corresponding to each of the plurality of first time periods; determining said minimum first average heart rate parameter as said first resting heart rate parameter.

6. The method of claim 5, wherein the state information is determined based on the determined state information.

7. The condition evaluation parameters further include the first heart rate variability signature parameter, after the step of determining the first resting heart rate parameter based on first average heart rate parameters corresponding to each of the plurality of first time periods, determining a first time period corresponding to the first resting heart rate parameter as a first resting time period; determining a heart rate variability parameter corresponding to the first resting time period as the first resting heart rate variability parameter, The first resting heart rate variability parameter comprises a sleep resting heart rate variability parameter, and the first resting heart rate parameter comprises a sleep resting heart rate parameter.

6. The method of claim 5, wherein the state information is determined based on the determined state information.

8. before determining a first average heart rate parameter corresponding to each of the first time periods based on the first time periods, removing a non-resting time period corresponding to each of the first time periods; The step of determining a first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods includes the step of determining a first average heart rate parameter corresponding to each of the plurality of first time periods based on the plurality of first time periods after a non-resting time period is removed.

6. The method of claim 5, wherein the state information is determined based on the determined state information.

9. The condition assessment parameters further include at least one of a second heart rate signature parameter and the second heart rate variability signature parameter, the second heart rate signature parameter and the second heart rate variability signature parameter corresponding to a second time interval, the first time interval being a nighttime interval and the second time interval being a daytime interval, The second heart rate signature parameters include a second average heart rate parameter and a second resting heart rate parameter, and the second heart rate variability signature parameters include a second resting heart rate variability parameter.

2. The method of claim 1, wherein the state information is determined based on the determined state information.

10. The condition assessment parameters include the second heart rate signature parameter, The step of determining a condition evaluation parameter corresponding to the test object based on a predetermined analysis time interval includes: determining a plurality of second time slots corresponding to the second time interval in the predetermined analysis time interval; determining second average heart rate parameters corresponding to each of the second time periods based on the second time periods; determining the second resting heart rate parameter based on second average heart rate parameters corresponding to each of the plurality of second time periods.

10. The method of claim 9, wherein the state information is determined based on the determined state information.

11. determining the second resting heart rate parameter based on second average heart rate parameters corresponding to each of the plurality of second time periods; identifying a minimum second average heart rate parameter among the second average heart rate parameters corresponding to each of the plurality of second time periods; determining the minimum second average heart rate parameter as the second resting heart rate parameter.

11. The method of claim 10, wherein the state information is determined.

12. After the step of determining the second resting heart rate parameter based on second average heart rate parameters corresponding to each of the plurality of second time periods, determining a second time period corresponding to the second resting heart rate parameter as a third resting time period; determining a heart rate variability parameter corresponding to the third resting time period as the second resting heart rate variability parameter, The second resting heart rate variability parameter comprises a daytime resting heart rate variability parameter, and the second resting heart rate parameter comprises a daytime resting heart rate parameter.

11. The method of claim 10, wherein the state information is determined.

13. before determining second average heart rate parameters corresponding to each of the second time periods based on the second time periods, removing non-resting time periods corresponding to each of the second time periods; The step of determining a second average heart rate parameter corresponding to each of the second time periods based on the second time periods includes determining a second average heart rate parameter corresponding to each of the second time periods based on the second time periods after the non-resting time interval is removed.

11. The method of claim 10, wherein the state information is determined.

14. the first time period includes a time period from 22:00 of one day to 6:00 of the next day; The second time interval includes a time interval from 8:00 on the same day to 20:00 on the same day.

2. The method of claim 1, wherein the state information is determined based on the determined state information.

15. A control method executed by a server or medical equipment, comprising: obtaining first status information corresponding to the test object, the first status information being obtained by a method for determining status information according to claim 1; and controlling an operation state of a medical system and / or a medical equipment and / or a mobile device based on the first status information. A control method comprising:

16. A state information determining device, comprising: a first determining module, a second state information determining module, and a second determining module; The first determination module is configured to determine a condition evaluation parameter corresponding to the test subject based on a preset analysis time period, the condition evaluation parameter including at least one of a first heart rate signature parameter and a first heart rate variability signature parameter, the first heart rate signature parameter and the first heart rate variability signature parameter corresponding to a first time period, the first heart rate signature parameter including a first average heart rate parameter and a first resting heart rate parameter, the first heart rate variability signature parameter including a first resting heart rate variability parameter, the first time period being a nighttime period or a daytime period; The second status information determination module is configured to determine second status information corresponding to the test object based on the status evaluation parameter; the second determination module is configured to determine first status information corresponding to the test object based on the status assessment parameter and the second status information; The first status information is status information of neurohormonal activity of the test subject, and the second status information is normal status information or disease stable status information of the test subject. A state information determining device comprising:

17. A control device comprising an acquisition module and a control module; The acquisition module is configured to acquire first status information corresponding to a test object, the first status information being acquired by a method for determining status information according to any one of claims 1 to 14; The control module is configured to control an operating state of a medical system and / or medical equipment based on the first status information. A control device comprising:

18. 1. A computer-readable storage medium, comprising: The storage medium stores a computer program, the computer program being configured to execute the state information determination method according to any one of claims 1 to 14 or the control method according to claim 15. A storage medium comprising:

19. 1. An electronic device comprising: the electronic device comprises a processor and a memory storing instructions executable by the processor; The processor is configured to execute a method for determining state information according to any one of claims 1 to 14 or to execute a control method according to claim 15.

1. An electronic device comprising:

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