CN108926332B

CN108926332B - Method and apparatus for assisted body monitoring

Info

Publication number: CN108926332B
Application number: CN201710381159.6A
Authority: CN
Inventors: 蒋捷; 霍勇; 李昱熙; 朱琴; 殷斌; 金盛
Original assignee: Philips China Investment Co Ltd; Peking University First Hospital
Current assignee: Philips China Investment Co Ltd; Peking University First Hospital
Priority date: 2017-05-25
Filing date: 2017-05-25
Publication date: 2022-09-30
Anticipated expiration: 2037-05-25
Also published as: CN108926332A

Abstract

Embodiments of the present disclosure relate to methods and devices for assisted body monitoring. In one embodiment, the method includes obtaining at least one value of an indicator representative of a physical state; in response to at least one value exceeding a threshold range, obtaining behavior information of the user; determining the behavior habit of the user based on the behavior information; and adjusting a policy for monitoring the indicator based on the behavior habit. In this way, the user's body may be monitored more flexibly and appropriately and without the need for the user to adjust lifestyle habits, helping to adhere to monitoring.

Description

Method and apparatus for assisted body monitoring

Technical Field

Embodiments of the present disclosure relate generally to the field of body monitoring, and more particularly, to methods and devices to assist body monitoring.

Background

For some patients or users, it is not necessary to continue treatment in the hospital when the condition is alleviated or after surgery, but rather only to monitor the body at home to ensure that the body is in a state of gradual recovery or health. Typically in such a situation, the physician will give corresponding monitoring directions and notes.

Often such monitoring may last for a period of time and involve numerous precautions. Patients or users may sometimes be frustrated or monitored in an erroneous manner, resulting in a lack or abnormality of physical indicators. The erroneous monitoring includes, for example, an erroneous start time, an erroneous monitoring time length, an erroneous monitoring position, an erroneous monitoring posture, an erroneous monitoring frequency, a motion state at the time of monitoring and before and after monitoring, taking of special food before and after monitoring, taking of medicine before and after monitoring, and the like. Erroneous monitoring may lead to serious consequences, such as a doctor erroneously judging that the physical state of the patient or user is in a normal or dangerous state based on the erroneous monitoring result. Therefore, there is a need to guide the patient or user to correct physical monitoring.

US2015332017a1 and US2015332006a1 each disclose a protocol that assists a patient in monitoring the body at home. However, these solutions still have deficiencies in terms of accuracy, functionality, and user experience.

The clinical research agreement of the first hospital of the university of Beijing based on 2015 is researched, and a corresponding solution is proposed to overcome the defects.

Disclosure of Invention

In general, example embodiments of the present disclosure relate to methods and devices for assisted physical monitoring.

In a first aspect of the present disclosure, a method for assisted physical monitoring is provided. The method comprises the following steps: obtaining at least one value of an indicator representing a physical state of a user; obtaining behavior information of a behavior of the user related to the physical state in response to at least one value of the index exceeding a threshold range; determining behavior habits of the user on the behaviors based on the behavior information; and adjusting a policy for monitoring the indicator based on the behavior habit.

According to the embodiment of the present disclosure, by triggering the collection of user behavior information based on an abnormal situation (the index exceeds a given threshold) to obtain more comprehensive index measurement scenario information to avoid erroneous judgment, and further determining behavior habits by determining the collected behavior information to adjust monitoring strategies accordingly, it is possible to monitor the body of the user more flexibly and appropriately and without the user adjusting lifestyle habits, which is helpful for insisting on monitoring.

In some embodiments, obtaining at least one value of an indicator representative of a physical state of the user comprises: obtaining a plurality of values of the indicator, obtaining the behavior information includes obtaining a plurality of sets of behavior information of the behavior related to the plurality of values, and determining the behavior habit includes determining the behavior habit based on similarities of the plurality of values and the similarities of the plurality of sets of behavior information. In such embodiments, behavior habits may be automatically determined based on similarity of behavior and metrics, thereby intelligently adjusting monitoring strategies.

In some embodiments, monitoring the indicator includes monitoring at least one of blood pressure, pulse rate, heart rate, fasting glucose, post-prandial glucose, body temperature, blood oxygen saturation, respiratory rate, peak expiratory flow, body fat, and body weight of the user.

In some embodiments, the behavior information is indicative of at least one of an action associated with the behavior and time information, the action is selected from at least one of drinking wine, drinking coffee or tea, eating, taking a drug, and exercising, and the time information includes at least one of a time at which the behavior occurs and a time during which the behavior lasts. In such embodiments, by enumerating action items that may affect the index, the monitoring strategy may be adjusted and the index value modified as accurately as possible, thereby giving a more appropriate monitoring strategy that reflects the physical state more timely.

In some embodiments, the method for assisting physical monitoring further comprises: based on the adjusted policy, guidance information for guiding the user for physical monitoring is provided to the user. In such an embodiment, the user may be effectively guided to perform the monitoring, thereby helping the user insist on the monitoring.

In some embodiments, adjusting the strategy for monitoring the indicator comprises: one or more of a start time of the monitoring index, a monitoring duration, a monitored body position, a monitored posture, a monitored frequency, a motion state at and before monitoring, a special food taking state before and after monitoring, a medicine taking state before and after monitoring, and a symptom occurring at monitoring are adjusted based on the behavioral habits of the user. In such embodiments, the user may be more accurately guided for physical monitoring and assisted in adhering to monitoring.

In some embodiments, the method for assisting physical monitoring further comprises: obtaining historical values of the index and historical behavior information of the behavior of the user from a database in response to at least one value of the index exceeding a threshold range; and modifying at least one value of the indicator based on the historical value and the historical behavior information. In such an embodiment, by searching the database, the current index value can be effectively corrected according to the historical information of the user, so that the current body state can be more accurately reflected.

In some embodiments, modifying at least one value of the metric based on the historical value and the historical behavior information includes: selecting historical behavior information matched with the behavior information from the historical behavior information; and taking the historical value of the index corresponding to the matched historical behavior information as at least one value of the index. In such an embodiment, the indicator value can be corrected more accurately and quickly.

In some embodiments, modifying the at least one value of the metric based on the historical value and the historical behavior information comprises: obtaining an impact factor of the behavior on the index from a database in response to at least one value of the index exceeding a threshold range, the impact factor being derived based on historical experience; at least one value of the index is modified based on the impact factor. By using the influence factors according to experience, the current index value can be corrected relatively accurately and rapidly, so that the current body state can be reflected relatively accurately and rapidly.

In some embodiments, adjusting the strategy for monitoring the indicator comprises: the strategy for monitoring the indicators is adjusted following the physician's opinion and/or the regulations in the monitoring guidelines. In such an embodiment, the accuracy of the user monitoring index may be further improved.

In a second aspect of the present disclosure, an apparatus for assisting physical monitoring is provided. The apparatus includes: a processing unit; a memory containing instructions that, when executed by the processing unit, cause the apparatus to perform acts comprising: obtaining at least one value of an index representing a physical state of a user; obtaining behavior information of a behavior of the user related to the physical state in response to at least one value of the index exceeding a threshold range; determining behavior habits of the user about the behaviors based on the behavior information; and adjusting a policy for monitoring the indicator based on the behavior habit.

In a third aspect of the disclosure, a computer program product is provided. The computer program product is tangibly stored on a non-transitory computer-readable medium and includes machine-executable instructions that, when executed, cause a machine to perform a method in accordance with the above.

It will be understood that this section is not intended to identify key or critical features of embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The above and other advantages, features and objects of the present disclosure will become more apparent from the following more detailed description of some embodiments of the present disclosure in which:

FIG. 1 is a simplified block diagram illustrating an environment according to one embodiment of the present disclosure;

FIG. 2 is a flow diagram illustrating a method according to one embodiment of the present disclosure;

3A-3C are schematic diagrams illustrating three examples of adjusting a strategy for monitoring metrics in accordance with the present disclosure; and

fig. 4 shows a simplified block diagram of an electronic device in which embodiments of the present disclosure may be implemented.

Throughout the drawings, the same or similar reference numbers refer to the same or similar elements.

Detailed Description

The principles of the present disclosure will now be described with reference to some exemplary embodiments. It is understood that these examples are described solely for the purpose of illustration and to assist those of ordinary skill in the art in understanding and working the disclosure, and are not intended to suggest any limitation as to the scope of the disclosure. The disclosure described herein may be implemented in various ways other than those described below.

As used herein, the term "include" and its various variants are to be understood as open-ended terms, which mean "including, but not limited to. The term "based on" may be understood as "based at least in part on". The term "one embodiment" may be understood as "at least one embodiment". The term "another embodiment" may be understood as "at least one other embodiment".

In general, some embodiments of the present disclosure relate to methods and devices for assisted physical monitoring. For example, after obtaining the value of the index representing the physical state of the user, it may be determined whether the value is out of the threshold range. In a case where the value exceeds the threshold range, it is determined that the index of the user is abnormal. Herein, the index representing the physical state may be, for example, at least one of blood pressure, pulse rate, heart rate, fasting blood glucose, postprandial blood glucose, body temperature, blood oxygen saturation, respiration rate, peak expiratory flow, body fat, and body weight. Herein, for convenience of description, an example regarding blood pressure is used for explanation. It will be appreciated that this is merely an example and not a limitation, and that embodiments of the invention may be applied to monitoring other indicators as well.

The inventors have realized that: the index abnormality may be caused by the daily behavior habit of the user. Herein, the daily behavior habit may be at least one of drinking wine, drinking coffee or tea, eating, taking medicine, and exercising, for example. In the case where this daily behavior habit is determined, the strategy for monitoring the metrics may be adjusted. For example, in case the user has a behavior habit of drinking coffee every morning, the blood pressure monitoring may be advanced or delayed, thereby avoiding the influence of coffee on the blood pressure. By determining the behavior habits to adjust the monitoring strategy accordingly, the monitoring can be more flexible and suitable and the living habits of the user do not need to be adjusted, thereby being beneficial to the user to insist on monitoring relevant indexes.

FIG. 1 shows a simplified block diagram of an environment in which one embodiment of the present disclosure may be implemented. Environment 100 includes a user 102, a device for monitoring metrics 104, a terminal device (e.g., a smartphone, tablet computer, etc.) 106, a communication link 110, and a server 112. The left side of the dashed line in fig. 1 may be the home environment of the user 102, while the right side of the dashed line may be the remote environment outside the home of the user 102.

The user 102 may monitor the indicator representing the physical state of the user 102 in a home environment using the device for monitoring indicators 104. For example, examples of devices 104 for monitoring metrics include, but are not limited to: at least one of a blood pressure monitor, a pulse rate monitor, a heart rate monitor, a blood glucose monitor, a body temperature monitor, a blood oxygen saturation monitor, a respiratory rate monitor, an expiratory flow peak monitor, a body fat monitor, and a body weight monitor.

After obtaining the metric value from the device for monitoring metrics 104, the user 102 may input the metric value into the terminal device 106. The terminal device 106 may be installed with an application or program for assisting physical monitoring. In another example, the device for monitoring metrics 104 may send the metric values that conform to a wireless communication protocol, such as the bluetooth protocol, directly to the terminal device 106, for example. Herein, the terminal device 106 is used for illustration for convenience of description. It will be appreciated that this is merely an example and not a limitation of computing devices, and that embodiments of the present invention may also be used, for example.

The terminal device 106 may perform various operations for assisting the physical monitoring after receiving the index value representing the physical state of the user 102. For example, the terminal device 106 may determine whether the metric value is outside of a threshold range, obtain behavior information, determine behavior habits, adjust measurements used to monitor the metric, communicate with the server 112 over the communication link 110, and so forth. It is to be understood that the terminal device 106 is for illustration only and is not intended to be limiting of devices for assisting physical monitoring. Other computing and communication enabled devices (e.g., tablet computers) may be used for assisting in physical monitoring. Various operations that may be performed, for example, by terminal device 106, are described below in conjunction with fig. 2.

Fig. 2 shows a flow diagram of a method according to an embodiment of the present disclosure. The flowchart 200 may be implemented by a computing device, such as the terminal device 106, for example. For example, in 202, the terminal device 106 may obtain at least one value of an index representing a physical state of the user. As described above, in one example, the user 102 can input the at least one value into the terminal device 106. In another example, the device for monitoring metrics 104 may send the at least one value directly to the terminal device 106. The at least one value may be a value of the same index at different times. For example, the user 102 may use the device for monitoring indicators 104 to monitor blood pressure values on a daily basis, and blood pressure values for a number of consecutive days may constitute the at least one value.

After receiving the value of the index, the terminal device 106 compares the value of the index with a preset threshold range. In a case where the terminal device 106 determines that the value of the index falls within the threshold range, the terminal device 106 determines that the index is normal and records the index value. In a case where the terminal device 106 determines that the value of the index exceeds the threshold range, the terminal device 106 determines that the index is abnormal.

In 204, the terminal device 106 obtains behavior information of the behavior of the user 102 related to the physical state in response to at least one value of the indicator exceeding a threshold range. In one example, in response to the blood pressure value exceeding the threshold range, terminal device 106 may display on its display screen behavioral information related to affecting blood pressure. In one example, the behavior information indicates at least one of action and time information associated with the behavior. The action information includes, for example, at least one of drinking alcohol, drinking coffee or tea, eating, taking medicine, and exercising. The time information includes at least one of a time when the behavior occurs and a duration of the behavior. The user 102 may select an action, occurrence time, and duration on the display screen related to the blood pressure measurement. For example, the user 102 has drunk coffee within a half hour before measuring blood pressure. The terminal device 106 records the action item information and may provide and display the corrected blood pressure value on the display screen. This will be described in detail below.

In another example, the user may also enter behavioral information that is not displayed. For example, the terminal device 106 may display blank or non-selection items on its display screen for the user 102 to freely input behavior information. When the behavior information displayed by the terminal device 106 on its display screen does not include the action information of the user before measuring the blood pressure, the user can freely input the relevant behavior information in the blank item. The terminal device 106 may record the relevant behavior information entered in the blank entry. The terminal device 106 may also provide the relevant behavior information as a selection item to the user 102 during subsequent use based on preset logic. For example, the terminal device 106 counts the relevant behavior information, and when the count value exceeds a threshold value (e.g., 3 times), the terminal device 106 may update the relevant behavior information as a behavior information selection item and provide for selection by the user 102 along with behavior information including action information such as drinking, drinking coffee or tea, eating, taking medicine, and exercising.

In 206, based on the behavior information, the terminal device 106 may determine the behavior habits of the user with respect to the behavior. In one example, where the user 102 inputs behavior information to the terminal device 106, the user 102 may input information indicating that the behavior is a daily behavior habit. In another example, the terminal device 106 may automatically determine whether the behavior is a daily behavior habit. The terminal device 106 may obtain a plurality of values of the indicator, for example, a blood pressure value at 8 am for three consecutive days. In response to the plurality of values all exceeding the threshold range, terminal device 106 may obtain a plurality of sets of behavioral information associated with the plurality of values, such as that user 102 has drunk coffee within a half hour prior to measuring blood pressure. The terminal device 106 may thus determine the behavioral habits based on the similarity of the plurality of values (e.g. three blood pressure values all exceed a threshold and three blood pressure values are similar) and the similarity of the sets of behavioral information (the user 102 has drunk coffee within half an hour before measuring blood pressure), e.g. the terminal device 106 may in this case automatically determine that the user 102 has a behavioral habit of drinking coffee between 7 am and 8 am, so that the intervention of the user 102 may be reduced and the monitoring strategy may be intelligently adjusted.

In 208, the terminal device 106 may adjust a policy for monitoring metrics based on the received behavior habit information or the automatically determined behavior habit information. For example, in the above scenario where the user 102 has a behavioral habit of drinking coffee in the morning, the terminal device 106 may adjust the policy of the user 102 to monitor the metrics. For example, the terminal device 106 may determine to delay the start time of the blood pressure measurement to 9 am or to advance to 7 am and display the time information of the blood pressure measurement on its display screen to provide guidance information to the user 102 for directing the user 102 to perform physical monitoring.

As an example, in some embodiments, adjusting the policy for monitoring the indicator includes adjusting the policy for monitoring the indicator if a physician opinion or a specification in a monitoring guideline is met. For example, the terminal device 106 may have a preset monitoring guide therein. The terminal device 106 may check the adjusted monitoring policy using the monitoring guideline and provide the adjusted monitoring policy to the user 102 only if the adjusted monitoring policy meets the specifications of the monitoring guideline. In the event that the adjusted monitoring policy does not meet the specifications of the monitoring guidelines, the adjustment of the monitoring policy may continue until the adjusted monitoring policy meets the specifications of the monitoring guidelines. Alternatively, the adjusted policy may be sent to a physician and provided to the user 102 after physician confirmation or the physician-modified policy may be provided to the user 102 as the adjusted policy. In this way it can be ensured that the adjusted monitoring strategy is correct and user-adapted.

It is understood that the start time of adjusting the monitoring index is only used for describing the blood pressure monitoring situation, and the strategy for adjusting the monitoring index is not limited. In some other examples, adjusting the policy for monitoring the metric may include: adjusting one or more of a start time of a monitoring index, a monitoring duration, a monitored body position, a monitored posture, a monitored frequency, a motion state at and before monitoring, a special food taking state before and after monitoring, a medicine taking state before and after monitoring, and a symptom occurring at monitoring, based on the behavioral habits of the user. By listing action items which possibly influence the index, the monitoring strategy can be adjusted and the index value can be corrected as accurately as possible, so that a more appropriate monitoring strategy can be provided to reflect the body state in more time.

By adapting the strategy of monitoring metrics to the behavioral habits of the user 102, as opposed to requiring the user 102 to change behavior habits on a regular basis (e.g., abstaining from coffee during monitoring of metrics), the user may be prevented from changing behavior habits and from adversely affecting metric measurements by behavior in situations where changes are not thorough (e.g., occasional drinking of coffee despite knowledge that abstinence from coffee is required). This helps to avoid causing conflicts or lacunae in monitoring of metrics by the user 102 and encourages the user 102 to monitor metrics on a consistent basis.

3A-3C are schematic diagrams illustrating three examples of adjusting a strategy for monitoring metrics according to the present disclosure. In the case of example 1 of fig. 3A, the user 102 takes medication or meals prior to the blood pressure measurement. Taking medication or eating causes a change in blood pressure within the user 102. At least one set of information regarding taking medication or eating is obtained in response to at least one of the blood pressure values exceeding the threshold range. Based on at least one set of information about taking medication or eating, a behavior habit of the user to take medication or eating in the morning is determined, and based on the behavior habit, the user 102 is guided to advance the blood pressure measurement before taking medication or eating.

In the case of example 2 of fig. 3B, the time interval between the blood pressure measurement and the drinking of coffee, smoking, or exercise of the user 102 is less than 30 minutes. Drinking coffee, smoking, or exercising causes a change in blood pressure in the user 102 within a short time (e.g., within 30 minutes). At least one set of information about drinking coffee, smoking or exercise and related time is obtained in response to at least one blood pressure value exceeding a threshold range. Based on at least one set of information about drinking coffee, smoking or sports and the associated time, a behavior habit of the user to drink coffee, smoke or sports in the morning is determined, and based on the behavior habit, the user 102 is guided to increase the time interval between blood pressure measurement and drinking coffee, smoking or sports to more than 30 minutes.

In the case of example 3 of fig. 3C, the user is guided in a matching modified manner to build a database regarding blood pressure measurements and drinking coffee. The user 102 does not drink coffee and measures a blood pressure value and records a blood pressure value on the first morning and drinks coffee first and then measures a blood pressure value and records a blood pressure value on the second morning. Further, the user 102 does not drink coffee and measures a blood pressure value and records a blood pressure value on the third morning, and drinks coffee first and then measures a blood pressure value and records a blood pressure value on the fourth morning. In this way, a history database may be constructed. It is to be appreciated that example 3 is merely an example and is not intended to be limiting, and that fewer (e.g., only two days) or more (e.g., six days) of data can be used to build the historical database user 102. In another example, historical databases based on historical experience may also be provided by hospitals, physicians, or service providers without the user having to build the historical database on their own.

After that, for example, on the nth and N +1 th days, in a case where the blood pressure value of the user 102 exceeds the threshold value range, the historical value and the historical behavior information of the index of the user 102 may be obtained from the database, and the blood pressure value may be corrected based on the historical value and the historical behavior information. For example, the blood pressure value of the user 102 after drinking coffee is 140 mmhg. And searching a database to find that the historical blood pressure value of the undried coffee corresponding to the historical blood pressure value matched with the blood pressure value is 120 mmHg. The blood pressure value may be corrected to 120 mmhg. In this way, by searching the database, the current index value can be effectively corrected according to the historical information of the user (for example, according to the historical blood pressure value, the associated behavior and the matched corrected blood pressure value), so that the current physical state can be more accurately reflected and the potential physical abnormality can be prevented from being discovered in time.

Further, the correction value can be obtained in a proportional correspondence manner. For example, the blood pressure value of the user 102 after drinking coffee is 140 mmhg. By querying the database, only the historical blood pressure values of 136 mm hg and 142 mm hg after drinking coffee were found, which correspond to 118 mm hg and 121 mm hg, respectively. The blood pressure value may be corrected to 118+ (140-.

It is to be understood that the above is merely an example and is not limiting on the value of the correction index, and other correction manners may be used. For example, it is also possible to obtain a historical experience-based influence factor of the behavior on the indicator (e.g. coffee on blood pressure measurements) from a database and to correct the value of the indicator based on the influence factor. In one example, the coffee to blood pressure measurement impact factor is 0.92. Therefore, in the case where the blood pressure value after drinking coffee is 146 mm hg, the blood pressure value may be corrected to 146 × 0.92 — 134 mm hg. By using the influence factors according to experience, the current index value can be corrected relatively accurately and rapidly, so that the current body state can be reflected relatively accurately and rapidly. This is particularly advantageous in the absence of the match correction in fig. 3C. For example, in example 3 of fig. 3C, blood pressure values corrected using impact factors may be displayed to the user 102 on the second and fourth days to avoid potential physical anomalies on the second and fourth days from being discovered in time, and the blood pressure values on the second and fourth days are recorded for subsequent match corrections.

Fig. 4 shows a simplified block diagram of an electronic device in which embodiments of the present disclosure may be implemented. As shown, device 400, which may perform method 200 in fig. 2, includes a Central Processing Unit (CPU) 401. The CPU 401 may perform various appropriate actions and processes according to computer program instructions stored in a Read Only Memory (ROM)402 or loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the device 400 can also be stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

A number of components in the device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks. The storage unit 408 may be, for example, the aforementioned SSD, HDD, HHD, or any other type of non-volatile storage medium now known or later developed.

In general, the various embodiments of the disclosure may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device. While various aspects of the disclosure may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that the blocks, apparatus, systems, techniques or methods described herein may be implemented in, without limitation, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.

Further, while operations are described in a particular order, this should not be understood as requiring that such operations be performed in the order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking or parallel processing may be advantageous. Similarly, while details of several specific implementations are included in the above discussion, these should not be construed as any limitation on the scope of the disclosure, but rather the description of features is directed to specific embodiments only. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the disclosure has been described in language specific to structural features and/or methodological acts, it is to be understood that the disclosure defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A method for assisting physical monitoring, comprising:

obtaining at least one value of an indicator representing a physical state of a user;

obtaining behavior information of a behavior of the user related to the physical state in response to the at least one value of the indicator exceeding a threshold range;

determining behavior habits of the user about the behaviors based on the behavior information; and

adjusting a strategy for monitoring the indicator based on the behavioral habit.

2. The method of claim 1, wherein

Obtaining at least one value of an indicator representing a physical state of a user comprises obtaining a plurality of values of the indicator,

obtaining the behavior information includes obtaining a plurality of sets of behavior information for the behavior related to the plurality of values, an

Determining the behavior habit includes determining the behavior habit based on the similarity of the plurality of values and the similarity of the plurality of sets of behavior information.

3. The method of claim 1, wherein monitoring the indicator comprises monitoring at least one of blood pressure, pulse rate, heart rate, fasting glucose, postprandial glucose, body temperature, blood oxygen saturation, respiratory rate, peak expiratory flow, body fat and body weight of the user.

4. The method of claim 1, wherein the behavior information indicates at least one of action and time information associated with a behavior,

the action is selected from at least one of drinking wine, drinking coffee or tea, eating, taking medicine, and exercising, and

the time information includes at least one of a time when the behavior occurs and a time during which the behavior lasts.

5. The method of claim 1, further comprising:

based on the adjusted policy, providing guidance information to the user for guiding the user for physical monitoring.

6. The method of claim 1, wherein adjusting a strategy for monitoring the metric comprises:

adjusting one or more of a start time of monitoring the indicator, a monitoring duration, a monitored body position, a monitored posture, a monitored frequency, a motion state at and before monitoring, a special food intake state before and after monitoring, an intake state of a drug before and after monitoring, and a symptom occurring at monitoring, based on the behavioral habits of the user.

7. The method of claim 1, further comprising:

obtaining historical values of the metric and historical behavior information of the behavior of the user from a database in response to the at least one value of the metric exceeding a threshold range; and

modifying the at least one value of the indicator based on the historical value and the historical behavior information.

8. The method of claim 7, wherein modifying the at least one value of the metric based on the historical value and the historical behavior information comprises:

selecting historical behavior information matched with the behavior information from the historical behavior information; and

and taking the historical value of the index corresponding to the matched historical behavior information as the at least one value of the index.

9. The method of claim 7, wherein modifying the at least one value of the metric based on the historical value and the historical behavior information comprises:

responsive to the at least one value of the metric exceeding a threshold range, obtaining from a database an impact factor of the behavior on the metric, the impact factor being derived based on historical experience;

modifying the at least one value of the indicator based on the impact factor.

10. The method of claim 1, wherein

Adjusting the strategy for monitoring the indicator includes adjusting the strategy for monitoring the indicator in compliance with the guidelines of the physician and/or the monitoring guidelines.

11. An apparatus for assisting physical monitoring, comprising:

a processing unit;

a memory containing instructions that, when executed by the processing unit, cause the apparatus to perform acts comprising:

obtaining at least one value of an index representing a physical state of a user;

determining behavior habits of the user with respect to the behaviors based on the behavior information; and

12. The apparatus of claim 11, wherein

Determining the behavioral habits includes: determining the behavior habits based on the similarity of the plurality of values and the similarity of the plurality of sets of behavior information.

13. The apparatus of claim 11, wherein the actions further comprise:

14. The apparatus of claim 13, wherein modifying the at least one value of the metric based on the historical value and the historical behavior information comprises:

15. A computer readable medium comprising machine executable instructions which when executed cause a machine to perform the method of any one of claims 1 to 10.