CN117672513A - Health monitoring method, system and related device - Google Patents
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The application discloses a health monitoring method, a system and a related device, wherein the method comprises the following steps: acquiring exercise data and diet data, obtaining consumed energy based on the exercise data, and obtaining ingested energy based on the diet data; obtaining countermeasure information corresponding to the cancelled energy consumption and the ingested energy, and generating a health report at least based on the countermeasure information; wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution period. By the aid of the scheme, accuracy of health monitoring can be improved, and advice with higher adaptation degree can be given.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a health monitoring method, system, and related devices.
Background
With the attention of people to self health, how to determine health conditions through data processing and analysis and give corresponding suggestions is becoming more important. However, the single dimension for health monitoring in the prior art results in lower accuracy of health monitoring and lower adaptation of the proposed advice to the needs of the user. In view of this, how to improve the accuracy of health monitoring and give advice with higher adaptation degree is a problem to be solved urgently.
Disclosure of Invention
The technical problem that this application mainly solves is to provide a health monitoring method, system and relevant device, can improve the rate of accuracy of health monitoring and give the suggestion that the adaptation is higher.
To solve the above technical problem, a first aspect of the present application provides a health monitoring method, including: acquiring exercise data and diet data, obtaining energy consumption based on the exercise data, and obtaining energy intake based on the diet data; obtaining countermeasure information corresponding to the consumed energy and the ingested energy, and generating a health report at least based on the countermeasure information; wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution period.
To solve the above technical problem, a second aspect of the present application provides a health monitoring system, including: the system comprises an acquisition module and a generation module, wherein the acquisition module is used for acquiring exercise data and diet data, obtaining consumed energy based on the exercise data and obtaining ingested energy based on the diet data; the generation module is used for acquiring countermeasure information corresponding to the consumed energy and the ingested energy, and generating a health report at least based on the countermeasure information; wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution period.
To solve the above technical problem, a third aspect of the present application provides an intelligent device, including: a memory and a processor coupled to each other, the memory having stored therein program instructions for executing the program instructions to implement the health monitoring method of the first aspect described above.
To solve the above technical problem, a fourth aspect of the present application provides a computer-readable storage medium having program instructions stored thereon, which when executed by a processor, implement the health monitoring method of the first aspect.
According to the scheme, the exercise data and the diet data are obtained, so that data of two dimensions of ingestion and consumption are obtained, the exercise data are converted into consumption energy, the diet data are converted into ingestion energy, the countermeasure information between the consumption energy and the ingestion energy is obtained, the countermeasure information comprises a countermeasure relation between the input and the output, the health report is generated at least based on the countermeasure information, and the reference dimension of the health report is increased, wherein the health report comprises a monitoring report and a advice report, therefore, the monitoring report comprises a monitoring result which is more accurate for the physical health, the advice report has higher correlation with the monitoring result, and the advice report corresponds to at least one execution period from the execution dimension, so that the probability of improving the health when a user executes the corresponding advice report according to the execution period is improved, the advice is more matched with the health condition of the user, the accuracy of the health monitoring is improved, and the advice is provided with higher adaption degree.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic flow chart of an embodiment of a health monitoring method of the present application;
FIG. 2 is a schematic flow chart of another embodiment of the health monitoring method of the present application;
FIG. 3 is a schematic diagram of an embodiment of a health monitoring system of the present application;
FIG. 4 is a schematic structural diagram of an embodiment of the smart device of the present application;
fig. 5 is a schematic structural diagram of an embodiment of a computer-readable storage medium of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "system" and "network" are often used interchangeably herein. The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship. Further, "a plurality" herein means two or more than two.
The health monitoring method provided by the application is realized by means of the intelligent equipment terminal. Wherein the smart device may include, but is not limited to, a wearable device and a mobile device.
Referring to fig. 1, fig. 1 is a flow chart illustrating an embodiment of a health monitoring method according to the present application, the method includes:
s101: exercise data and diet data are acquired, energy expended is obtained based on the exercise data, and energy ingested is obtained based on the diet data.
Specifically, exercise data and diet data are acquired, thereby obtaining data in both the intake and consumption dimensions, converting the exercise data into consumption energy, and converting the diet data into intake energy.
In an application scenario, an intelligent device terminal is provided with a plurality of preset periods, and when detecting that a user selects a preset period, motion data and diet data matched with the preset period are obtained from an information base of the user. The information base is obtained after classification based on original information input by a user, and the original information at least comprises voice data of the user.
In another application scenario, the intelligent device terminal is provided with a default preset period, and when the default preset period is detected, the exercise data and the diet data which are matched with the preset period before the current time stamp are acquired from the information base of the user. When the user selects the candidate period, the candidate period is utilized to replace the current preset period, the information base is obtained after classification based on original information input by the user, and the original information at least comprises voice data of the user.
In a further application scenario, in response to obtaining input content converted from original information input by a user, and the user detects that the user selects instant feedback at the intelligent terminal, motion data and diet data are extracted from the input content.
Optionally, the smart device includes at least a wearable device and a mobile device, where the wearable device includes a wearable device such as a smart watch, a smart bracelet, or smart glasses, and a wearable device of other forms, such as a wearable device of fabric or garment integration type such as an electronic garment, and the specific form of the wearable device is not limited herein. In addition, the wearable device may be integrated with a display screen, or a projection apparatus, and the mobile device may be a smart phone or a smart tablet or other portable device that is bound to the wearable device.
In one application mode, exercise data and diet data are acquired, exercise type and exercise duration are acquired from the exercise data, consumed energy is obtained through conversion of the exercise type and the exercise duration, diet type and quantification information are acquired from the diet data, and ingested energy is obtained through conversion of the diet type and the quantification information.
Optionally, the intelligent terminal is integrated with a consumption energy conversion algorithm corresponding to the exercise data and an intake energy conversion algorithm corresponding to the diet data.
In another application, exercise data and diet data are obtained, a first converted prompt text is constructed based on the exercise data, the first converted prompt text is input to the large language model to enable the large language model to output consumed energy, a second converted prompt text is constructed based on the diet data, and the second converted prompt text is input to the large language model to enable the large language model to output ingested energy.
The exercise data includes data generated when exercise is performed and data generated in daily life and work, and the diet data includes data recorded when various foods and drinks are consumed.
Optionally, the large language model may be specifically deployed in a cloud, and the intelligent device may communicate with the cloud, where after the large language model processes the consumed energy and the ingested energy, the large language model is fed back to the intelligent device from the cloud.
S102: obtaining countermeasure information corresponding to the cancelled energy consumption and the ingested energy, generating a health report based at least on the countermeasure information, wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution cycle.
Specifically, countermeasure information between the consumed energy and the ingested energy is acquired such that the countermeasure information includes a countermeasure relationship between the input and the output, and a health report is generated based at least on the countermeasure information, thereby increasing a reference dimension of the health report.
Further, the health report includes a monitoring report and a advice report, and thus the monitoring report includes a monitoring result more accurate for physical health, the advice report has a higher correlation with the monitoring result, and the advice report corresponds to at least one execution period from the execution dimension, thereby increasing a probability of improving health when the user executes the corresponding advice report by the execution period, and making the advice more matched with the health condition of the user.
The countermeasure information includes at least specific values of consumed energy and intake energy, and a difference between the taken energy and the consumed energy, and may further include a total energy of consumed energy and intake energy, a ratio of consumed energy to total energy, and a ratio of taken energy to total energy.
In one application, a monitoring report and a advice report are generated based on specific values of the consumed energy and the ingested energy included in the countermeasure information, and a difference between the ingested energy and the consumed energy, resulting in a health report.
In another application mode, basic information data of the user is obtained, and based on the basic information data and the countermeasure information, a monitoring report and a suggestion report are generated to obtain a health report.
In another application mode, basic information data and physiological acquisition data of a user are acquired, the basic information data, the physiological acquisition data and countermeasure information are obtained, and a monitoring report and a suggestion report are generated to obtain a health report.
Optionally, the basic information data may include age, sex, height and weight of the user, in addition, the basic information data may further include disease information and medication information of the user, and the physiological acquisition data may include heart rate, blood oxygen, pressure and sleep of the user, which are not particularly limited in this application.
In an application scenario, the health report corresponds to a health report template, the health report template comprises a monitoring report template and a suggestion report template, and at least countermeasure information is added to the monitoring report template and the suggestion report template to obtain the health report.
In another application scenario, a prompt text is constructed based at least on the countermeasure information, wherein the prompt text includes a need to output a monitoring report and a advice report, the prompt text is input to a large language model, and the large language model is obtained to output a health report.
Alternatively, the large language model may include, but is not limited to, deep neural networks (Deep Neural Networks, DNNs), convolutional neural networks (Convolutional Neural Networks, CNNs), recurrent neural networks (Recurrent Neural Networks, RNNs), long Short-Term Memory networks (LSTM), and generative pre-training fransformer models, among others, where the specific construction and specific deployment of the large language model is not particularly limited.
It will be appreciated that, taking exercise data and diet data as an example, the period is data within one day, when the user's needs are health and weight management, the content of the monitoring report may include: you ingest on a caloric basis of 3413.04-2000= 1413.04kcal, if you want to lose weight, you need to ensure that daily energy consumption is greater than intake. If you want to gain weight, you need to ensure that daily energy intake is greater than consumption. Of course, to keep a healthy body we propose that you do not pursue too much a specific weight objective, but instead pay attention to the balance and diversity of diets, and to the right amount of exercise. The advice reports include diet advice and exercise advice, which may include: it is recommended to select foods rich in proteins, dietary fibers and healthy fats, such as fish, chicken, beans, vegetables, etc. These foods can provide sufficient energy and nutrients to support the normal functioning of the body. In addition, care is taken to control the ingredients of the food and the cooking pattern to avoid excessive fat and salt. The athletic advice may include: if you wish to continue jogging or playing an aerobic sport such as badminton, one can consider increasing the sport time or intensity to increase your energy consumption. Care should be taken to avoid excessive exercise causing physical fatigue or injury. In addition, it is also contemplated to add some strength training to enhance muscle strength and bone density, thereby increasing the overall health level of the body.
Further, the advice report corresponds to at least one execution period, and when the advice report corresponds to a plurality of execution periods, at least a short-term dimension and a long-term dimension. Wherein, the execution period may include one day, one week, one month, etc., which is not particularly limited in the present application.
In an application scenario, the exercise data and the diet data are corresponding to a preset period, the execution period of at least one advice report is the same as the preset period, and the probability that the advice report is matched with the user requirement is improved.
In another application scenario, the advice report corresponds to sports and diet advice in a short-term dimension, and sports and diet advice in a long-term dimension, increasing the diversity of advice reports and thereby increasing the probability that the advice report is adopted by the user.
In a specific application scenario, acquiring exercise data and diet data includes: in response to detecting that the user selects a preset period, acquiring exercise data and diet data in the preset period; responsive to obtaining the input content and detecting the user selection of immediate feedback, obtaining exercise data and diet data from the input content; wherein the monitoring report and the advice report correspond to a time span of the exercise data and the diet data.
Specifically, the condition of acquiring the exercise data and the diet data is triggered by the user, when the user selects a preset period, the exercise data and the diet data in the preset period are acquired, so that the user can select different preset periods according to the requirement, when the input content is obtained and the user selects instant feedback is detected, the exercise data and the diet data included in the input content are extracted, so that the user can acquire an instant output health report after the input content, and the selectable diversity is improved.
Further, the monitoring report and the advice report correspond to a time span of the exercise data and the diet data, that is, when the exercise data and the diet data correspond to the preset period, the monitoring report feeds back the health condition matching the countermeasure information in the preset period, the advice report feeds back the exercise and the diet advice matching the countermeasure information in the preset period, and when the exercise data and the diet data are extracted from the input content, the monitoring report feeds back the health condition matching the countermeasure information in the input content, and the advice report feeds back the exercise and the diet advice matching the countermeasure information in the input content, thereby improving the matching degree of the health report and the user demand.
Optionally, after obtaining the challenge information and the health report, the challenge information and the health report are presented for viewing by the user.
In a specific application scenario, the countermeasure information is displayed in real time based on the content input by the user, and the health report is displayed in response to a viewing instruction triggered by the user on the intelligent device, wherein the health report can also be converted into broadcasting voice for displaying.
In another specific application scenario, the health report further includes a display diagram of countermeasure information, and the display diagram is displayed in the display area after responding to a viewing instruction triggered by the user on the intelligent device.
According to the scheme, the exercise data and the diet data are obtained, so that data of two dimensions of ingestion and consumption are obtained, the exercise data are converted into consumption energy, the diet data are converted into ingestion energy, the countermeasure information between the consumption energy and the ingestion energy is obtained, the countermeasure information comprises a countermeasure relation between the input and the output, the health report is generated at least based on the countermeasure information, and the reference dimension of the health report is increased, wherein the health report comprises a monitoring report and a advice report, therefore, the monitoring report comprises a monitoring result which is more accurate for the physical health, the advice report has higher correlation with the monitoring result, and the advice report corresponds to at least one execution period from the execution dimension, so that the probability of improving the health when a user executes the corresponding advice report according to the execution period is improved, the advice is more matched with the health condition of the user, the accuracy of the health monitoring is improved, and the advice is provided with higher adaption degree.
Referring to fig. 2, fig. 2 is a flow chart illustrating another embodiment of a health monitoring method according to the present application, the method includes:
s201: basic information data and physiological acquisition data of a user are acquired.
Specifically, the basic information data may include the age, sex, height and weight of the user, and furthermore, the basic information data may include disease information and medication information of the user, and the physiological acquisition data may include heart rate, blood oxygen, pressure and sleep of the user.
In an application scenario, basic information data are added when a user registers, wherein the age, the sex, the height and the weight are necessary items, the disease information and the medication information are selectable items, and the physiological acquisition data at least comprise heart rate of the user. In addition, in other application scenarios, the composition of the basic information data and the acquisition mode can be set in a self-defined manner, and the application is not limited in particular.
S202: exercise data and diet data are acquired, energy expended is obtained based on the exercise data, and energy ingested is obtained based on the diet data.
Specifically, exercise data and diet data are acquired, thereby obtaining data in both the intake and consumption dimensions, converting the exercise data into consumption energy, and converting the diet data into intake energy.
In one application, deriving energy based on motion data includes: acquiring a motion type and a motion duration included in the motion data, and extracting a target data segment matched with the motion type and the motion duration from the physiological acquisition data; based on the base information data, the target data segment and the motion data, energy consumption is obtained.
Specifically, the exercise data comprises an exercise type and an exercise duration, and after the physiological acquisition data is obtained, a data segment matched with the exercise type and the exercise duration in the physiological acquisition data is determined and used as a target data segment.
Furthermore, because of the difference of basic information data such as height and weight of the user and the difference of physiological acquisition data acquired by the intensity of the user during exercise, even the same exercise type and similar exercise duration can still cause energy consumption deviation during exercise, the basic information data, the target data segment and the exercise data of the user are utilized to comprehensively determine the energy consumption, and the energy consumption accuracy can be improved.
In an application scene, a prompt text is constructed by utilizing basic information data, target data segments and motion data of a user, and the prompt text is input into a large model, so that the large model outputs consumed energy matched with various data.
It should be noted that, extracting the target data segment matched with the movement type and the movement duration from the physiological acquisition data includes: acquiring all candidate data segments meeting the motion condition in the physiological acquisition data and corresponding time stamps thereof; responding to the timestamp corresponding to the candidate data segment to be matched with the recorded data input by the user, determining the motion type and the motion duration of the matched candidate data segment based on the recorded data, and taking the corresponding candidate data segment as a target data segment; and responding to the fact that the timestamp corresponding to the candidate data segment is not matched with the recorded data input by the user, acquiring physiological acquisition data matched with the historical motion data as the historical data segment, determining the motion type and the motion duration matched with at least part of the candidate data segment based on the historical data segment, and taking the corresponding candidate data segment as the target data segment.
Specifically, the physiological acquisition data at least includes a heart rate, the acquisition frequency of the heart rate monitor is lower than a frequency threshold when the heart rate is in a normal range, the acquisition frequency of the heart rate monitor is higher than the frequency threshold when the heart rate is greater than the normal range, and the user is determined to be in a motion state or excited emotion when the heart rate is greater than the normal range.
Optionally, the exercise condition includes that the heart rate acquisition frequency is higher than the frequency threshold and the time length of the data segment is greater than the time length threshold, and the candidate data segment meeting the exercise condition and the timestamp corresponding to the candidate data segment are obtained from the physiological acquisition data, so that the physiological acquisition data corresponding to the emotion activation is effectively filtered.
The recording data includes at least one of voice, picture and text input by the user, and the user may input recording data related to the exercise before or after the exercise or during the exercise. For example, if a user records a picture of a running machine before running, a candidate data segment after a time stamp recording data can correspond to the type of exercise as running, or if a user records voice data "i am performing cycling exercise" during cycling, a candidate data segment with a time stamp recording data in a time range can correspond to the type of exercise as cycling, or if a user summarizes and records text data or voice data after running, i am beginning running for 30 minutes at 6 am, and having 1 hour shuttlecock at 4 am, then the candidate data segment with a time stamp corresponding to 6 am, and the candidate data segment with a time stamp corresponding to 4 am at 4 am, are the types of exercise as shuttlecocks.
It can be understood that when the timestamp corresponding to the candidate data segment matches the recorded data input by the user, the keyword is extracted from the recorded data input by the user, the motion type and the motion duration matched with the candidate data segment are determined based on the keyword and the timestamp of the recorded data, and the corresponding candidate data segment is used as the target data segment, so that the target data segment matched with the motion data is determined based on the content actively recorded by the user, and the accuracy of the application of the physiological acquisition data in calculating the energy consumption is improved.
Further, when the timestamp corresponding to the candidate data segment is not matched with the recorded data input by the user, physiological acquisition data matched with the historical motion data before the current time node is used as the historical data segment, the similarity between the historical data segment and the candidate data segment is determined, the motion type of the historical motion data meeting the similarity condition is used as the motion type of the corresponding candidate data segment, the motion type and the motion duration of the candidate data segment which can be matched with the historical motion data are determined, and the corresponding candidate data segment is used as the target data segment rate. Therefore, after the user records a certain motion type for many times, the user does not need to continuously and repeatedly input the recorded data aiming at the same motion type, and a more accurate target data segment can be obtained after the user forgets to input the recorded data.
S203: and generating prompt information based on at least one of diet data, exercise data, basic information data and physiological acquisition data and outputting the prompt information in real time.
Specifically, based on at least one of diet data, exercise data, basic information data and physiological acquisition data, potential risks are determined, prompt information for prompting the potential risks is generated and output immediately so as to prompt a user in time, and the probability of keeping the user healthy is improved.
It can be understood that the diet data corresponds to potential risks of food contraindications and food attributes, the exercise data comprises potential risks of saturation of exercise quantity, the basic information data comprises potential risks of excessive high or low height-weight ratio, diseases or medication and the like, the physiological acquisition data comprises potential risks of abnormal monitoring values, and the four data have mutual influences, for example, certain diseases are not suitable for eating partial foods or performing certain exercises, the current physiological acquisition data is not suitable for performing certain exercises and the like, and the application is not used for one-to-one.
S204: and determining the schedule time related to the prompt information in response to the schedule data, and outputting the corresponding prompt information before the schedule time.
Specifically, when the schedule data is obtained, the schedule time related to the prompt information is obtained from the schedule data, the prompt information related to the schedule data is output again before the schedule time, and the probability of health influence caused by forgetting of the user is reduced.
In a specific application scenario, when the user inputs the voice content of "one piece of cephalosporin is eaten today, prompt information of" do not drink alcohol today "can be given in time. When the acquired schedule data of the user also comprises '7 pm and XX about meal', the schedule time related to the prompt information is 7 pm, and the prompt information is given again before 7 pm, namely 'you can take the cephalosporin in the morning and do not drink alcohol when about meal'.
S205: obtaining countermeasure information corresponding to the cancelled energy consumption and the ingested energy, generating a health report based at least on the countermeasure information, wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution cycle.
Specifically, the countermeasure information between the consumed energy and the ingested energy is acquired, the countermeasure information includes a countermeasure relationship between the input and the output, and the health report is generated based on the basic information data, the physiological acquisition data, and the countermeasure information, so that the accuracy of the health report is improved.
In one application mode, reference weights are set for the basic information data, the physiological acquisition data and the countermeasure information, and a health report is generated based on the basic information data, the physiological acquisition data and the countermeasure information and the corresponding reference weights, so that the emphasis point of the health report is conveniently determined, and the health report comprises a monitoring report for feeding back the health condition and a suggestion report related to the health condition.
Further, the advice report includes a plurality of execution periods, and each execution period corresponds to a respective advice plan, so that the user can execute the advice plan in stages according to different periods.
In an application scenario, the advice report includes sports advice and diet advice, and the method further includes, after obtaining countermeasure information corresponding to the consumed energy and the ingested energy and generating the health report based at least on the countermeasure information: based on the sports advice, determining associated sports equipment matched with the content of the sports advice, and sending the corresponding content in the sports advice to the associated sports equipment; and determining an associated electrical device matching the content of the diet proposal based on the diet proposal, and transmitting the corresponding content in the diet proposal to the associated electrical device.
Specifically, the suggestion report includes sports suggestions and diet suggestions, associated sports equipment which has an association relationship with the sports suggestions is determined from the content of the sports suggestions, and the content of the sports suggestions, which is related to the associated sports suggestions, is sent to the associated sports equipment so as to facilitate the user to view and execute the sports suggestions. For example, the associated exercise device includes a treadmill and an elliptical, and when the exercise advice includes content related to the treadmill and the elliptical, the content in the exercise advice related to the treadmill is transmitted to the treadmill and the content in the exercise advice related to the elliptical is transmitted to the elliptical.
Similarly, from the contents of the diet suggestions, the associated electrical equipment which has an association relationship with the diet suggestions is determined, and the contents of the diet suggestions, which are related to the associated diet suggestions, are sent to the associated diet equipment so as to facilitate the user to view and execute the diet suggestions. For example, the associated eating apparatus includes a water dispenser and a refrigerator, and when the eating advice includes content related to the water dispenser and the refrigerator, the content in the eating advice related to the water dispenser is transmitted to the water dispenser, and the content in the eating advice related to the refrigerator is transmitted to the refrigerator.
Optionally, obtaining countermeasure information corresponding to the consumed energy and the ingested energy, generating the health report based at least on the countermeasure information, further includes: displaying a monitoring report and a suggestion report, and setting adoption options at sport suggestions and diet suggestions of the suggestion report respectively; acquiring a preset target matched with the execution period, and determining the completion rate of the preset target; and acquiring the adoption rate of the adoption options in the execution period, and updating the suggestion report based on the adoption rate and the completion rate corresponding to the preset target.
Specifically, a monitoring report and a suggestion report are displayed to a user, adoption options are respectively set at a sport suggestion and a diet suggestion of the suggestion report, whether the user selects the adoption options or not is detected, a preset target matched with an execution period is obtained, wherein the preset target can be decomposed from the target set by the user to the execution period, the preset target can also be automatically generated when the suggestion report is generated, when the execution period is nearly finished or after the execution period is finished, the completion rate of the preset target matched with the execution period is determined, the adoption rate of the adoption options in the execution period is obtained, and the suggestion report is updated based on the adoption rate of the adoption options and the completion rate corresponding to the preset target. Wherein the update only represents the status of the advice report, and the specific content of the advice report may be aligned or may remain unchanged.
Optionally, when the adoption rate is lower than the threshold, the advice report is adjusted, when the adoption rate is higher than the threshold and the completion rate corresponding to the preset target reaches the threshold, the current advice report is maintained, and when the adoption rate is higher than the threshold and the completion rate corresponding to the preset target does not reach the threshold, the advice report is adjusted.
In a specific application scenario, the user needs include performing weight management, where the user may set a weight management target, and then the weight management target set by the user in the advice report is decomposed into corresponding execution periods, where the advice report includes exercise advice and diet advice in multiple execution periods, where the exercise advice and diet advice in each execution period correspond to a adoption option, determining a completion rate of a preset target matching the execution period based on a weight change of the user in the execution period, determining whether to adjust the exercise advice and diet advice based on the adoption rate of the exercise advice and diet advice by the user and the completion rate of the preset target, so that when the preset target is not ideal, the exercise advice and diet advice in the current execution period and the following execution periods are timely adjusted, and the probability that the user achieves the set target is improved.
In an application scenario, the health report is displayed on the current terminal, and when the current terminal is associated with other terminals, the associated terminals can share information.
Optionally, in response to triggering the sending condition, sending the health report of the current terminal to other terminals; the sending conditions correspond to at least one other terminal, and the sending conditions are preset to be automatically sent or triggered by a user; generating reminding information based on the health reports of other terminals in response to the health reports of other terminals, and displaying the health reports and the reminding information of other terminals; and sending the reminding information to the corresponding other terminals after the reminding information is selected by the user.
Specifically, if the current terminal triggers a sending condition, the health report generated by the current terminal is sent to other terminals, where the sending condition corresponds to at least one other terminal, and after the sending condition is triggered, the health report is sent to other terminals matched with the sending condition, where the sending condition can be set by a user to be sent automatically, or can be sent after the user triggers actively.
Further, if the current terminal receives the health report of the other terminal, generating reminding information based on the monitoring report and the suggestion report in the health report of the other terminal, wherein the reminding information comprises abnormal conditions in the monitoring report and execution conditions of different execution periods in the suggestion report, displaying the health report of the other terminal and the corresponding reminding information thereof at the current terminal, and after the reminding information is selected by a user, sending the corresponding reminding information to the corresponding other terminal so as to remind the user of the other terminal of the abnormal conditions in the monitoring report and remind the user of the other terminal of timely executing suggestions given in the suggestion report.
In a specific application scenario, a user can set a health report for a family at a current terminal and automatically send the health report to other related terminals, so that the use difficulty of the old is reduced, and the health report is timely sent to the other terminals after being generated at the current terminal, so that the health report of the old can be timely checked at the other terminals.
In a specific application scenario, when the current terminal receives a health report sent by other terminals, reminder information is set at the key content in the monitoring report, such as blood pressure fluctuation, heart rate abnormality and the like, after the corresponding reminder information is selected, attention monitoring information is timely sent to other terminals, reminder information is set at the adoption rate of exercise advice and diet advice corresponding to each execution period in the advice report, reminder information is set at the completion rate of a preset target of each execution period, and after the corresponding reminder information is selected, supervision information of the execution advice is timely sent to other terminals.
Optionally, the advice report includes athletic advice, obtaining countermeasure information corresponding to the consumed energy and the ingested energy, generating the health report based at least on the countermeasure information, and further including: generating a sharing option corresponding to the sports advice, and converting the corresponding sports advice into a sports schedule to share to a preset platform when detecting that the user selects the sharing option; the preset platform is provided with team forming options corresponding to the motion schedule; and responding to the detection that the user selects to consult the preset platform, and displaying the motion schedule shared by the current terminal and other terminals on the preset platform and the corresponding team forming options.
Specifically, a sharing option is generated in the sport advice of the advice report, and when the user selects the sharing option, the corresponding sport advice is converted into a sport schedule to be shared to a preset platform, such as a sharing community corresponding to the terminal, so as to realize sport schedule sharing, wherein a team forming option of the sport schedule is arranged on the preset platform, so that after the user of other terminals selects the team forming option, the sport schedules can be checked mutually.
Optionally, the sharing option includes multiple candidate viewing rights for the sharing scope to facilitate user selection when sharing.
Further, when the user is detected to review the preset platform, the motion schedule shared by the current terminal and other terminals on the preset platform and the corresponding team forming options are displayed, so that the user can conveniently review the team forming condition of the motion schedule shared by the user and the composition condition of the motion schedule shared by other terminals and can select to join in the team, wherein the completion condition of the motion schedule can be further displayed after the motion schedule is shared, and the users corresponding to the multiple terminals associated during the motion team forming process mutually supervise and review.
Different from the above embodiment, basic information data and physiological acquisition data of a user are acquired, a data segment matched with a movement type and movement duration in the physiological acquisition data is determined from the physiological acquisition data, the data segment is used as a target data segment, energy consumption is obtained based on the basic information data, the target data segment and the movement data, the accuracy of the consumed energy and the countermeasures of the consumed energy and the ingested energy is improved, a health report is generated based on the basic information data, the physiological acquisition data and the countermeasures, the accuracy of the health report is improved, the movement advice in the advice report is linked with associated movement equipment, the diet advice in the advice report is linked with associated electrical equipment, the potential risk is determined based on at least one of the diet data, the movement data, the basic information data and the physiological acquisition data, prompt information for prompting the potential risk is generated, and the prompt information is output timely so as to prompt the user, the health of the user is kept is improved, and the health supervision is realized by linking the health report with other terminals.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a health monitoring system of the present application, where the health monitoring system 30 includes an acquisition module 301 and a generation module 302, the acquisition module 301 is configured to acquire exercise data and diet data, obtain consumed energy based on the exercise data, and obtain ingested energy based on the diet data; the generating module 302 is configured to obtain countermeasure information corresponding to the cancelled energy and the ingested energy, and generate a health report based at least on the countermeasure information; wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution period.
In the above-mentioned scheme, the obtaining module 301 obtains exercise data and diet data, thereby obtaining data of two dimensions of intake and consumption, converts the exercise data into consumption energy, converts the diet data into intake energy, the generating module 302 obtains countermeasure information between the cancellation of the consumption energy and the intake energy, causes the countermeasure information to include a countermeasure relationship between the input and output, and generates a health report based at least on the countermeasure information, thereby increasing a reference dimension of the health report, wherein the health report includes a monitoring report and a advice report, and therefore, the monitoring report includes a monitoring result that is more accurate for physical health, the advice report has a higher correlation with the monitoring result, and the advice report corresponds to at least one execution period from the execution dimension, thereby improving the probability of improving health when the user executes the corresponding advice report according to the execution period, causing advice to be more matched with the health condition of the user, thereby improving the accuracy of health monitoring and giving advice that has a higher adaptation degree.
Optionally, the health monitoring system 30 further includes a transmitting module (not identified) for determining, based on the athletic advice, an associated athletic device that matches the content of the athletic advice, and transmitting the corresponding content in the athletic advice to the associated athletic device; and determining an associated electrical device matching the content of the diet proposal based on the diet proposal, and transmitting the corresponding content in the diet proposal to the associated electrical device.
Optionally, the health monitoring system 30 further comprises a display module (not identified) for displaying the monitoring report and the advice report, and setting adoption options at the athletic advice and the diet advice of the advice report, respectively; the obtaining module 301 is further configured to obtain a preset target that is matched with the execution period, and determine a completion rate of the preset target; the generating module 302 is further configured to obtain an adoption rate of the adoption option in the execution period, and update the advice report based on the adoption rate and a completion rate corresponding to the preset target.
Optionally, the sending module is further configured to send the health report of the current terminal to other terminals in response to the trigger sending condition; the sending conditions correspond to at least one other terminal, and the sending conditions are preset to be automatically sent or triggered by a user; the generating module 302 is further configured to generate, in response to obtaining the health report of the other terminal, alert information based on the health report of the other terminal, and the displaying module is further configured to display the health report and the alert information of the other terminal; and sending the reminding information to the corresponding other terminals after the reminding information is selected by the user.
Optionally, the generating module 302 is further configured to generate a sharing option corresponding to the sports suggestion, and convert the corresponding sports suggestion into a sports schedule to share to a preset platform when detecting that the user selects the sharing option; the preset platform is provided with team forming options corresponding to the motion schedule; the display module is also used for displaying the motion schedule shared by the current terminal and other terminals on the preset platform and the team forming options corresponding to the motion schedule in response to the detection that the user selects to consult the preset platform.
Optionally, the obtaining module 301 is further configured to obtain exercise data and diet data in a preset period in response to detecting that the user selects the preset period; responsive to obtaining the input content and detecting the user selection of immediate feedback, obtaining exercise data and diet data from the input content; wherein the monitoring report and the advice report correspond to a time span of the exercise data and the diet data.
Optionally, the acquiring module 301 is further configured to acquire basic information data and physiological acquisition data of the user; the generation module 302 is also configured to generate a health report based on the base information data, the physiological acquisition data, and the challenge information.
Optionally, the acquiring module 301 is further configured to acquire a motion type and a motion duration included in the motion data, and extract a target data segment matching the motion type and the motion duration from the physiological acquisition data; the generating module 302 is further configured to obtain the consumed energy based on the basic information data, the target data segment, and the motion data.
Optionally, the acquiring module 301 is further configured to acquire all candidate data segments in the physiological acquisition data that satisfy the motion condition and corresponding timestamps thereof; the generating module 302 is further configured to determine a motion type and a motion duration of the candidate data segment matching based on the record data in response to the timestamp corresponding to the candidate data segment matching to the record data input by the user, and take the corresponding candidate data segment as the target data segment; and responding to the fact that the timestamp corresponding to the candidate data segment is not matched with the recorded data input by the user, acquiring physiological acquisition data matched with the historical motion data as the historical data segment, determining the motion type and the motion duration matched with at least part of the candidate data segment based on the historical data segment, and taking the corresponding candidate data segment as the target data segment.
Optionally, the generating module 302 is further configured to generate and output prompt information on the basis of at least one of diet data, exercise data, basic information data, and physiological acquisition data; and determining the schedule time related to the prompt information in response to the schedule data, and outputting the corresponding prompt information before the schedule time.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of a smart device of the present application, where the smart device 40 includes a memory 401 and a processor 402 coupled to each other, and program instructions (not identified) are stored in the memory 401, and the processor 402 is configured to execute the program instructions to implement the health monitoring method in any of the above embodiments. The description of the related content is referred to the detailed description of the method embodiments, and is not repeated herein.
By the aid of the scheme, accuracy of health monitoring can be improved, and advice with higher adaptation degree can be given.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a computer readable storage medium 50 of the present application, where program instructions 500 are stored on the computer readable storage medium, and when the program instructions 500 are executed by a processor, the health monitoring method described in any of the above embodiments is implemented. The description of the related content is referred to the detailed description of the method embodiments, and is not repeated herein.
By the aid of the scheme, accuracy of health monitoring can be improved, and advice with higher adaptation degree can be given.
The units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all or part of the technical solution contributing to the prior art or in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description is only of embodiments of the present application, and is not intended to limit the scope of the patent application, and all equivalent structures or equivalent processes using the descriptions and the contents of the present application or other related technical fields are included in the scope of the patent application.
Claims (13)
1. A method of health monitoring, the method comprising:
acquiring exercise data and diet data, obtaining energy consumption based on the exercise data, and obtaining energy intake based on the diet data;
obtaining countermeasure information corresponding to the consumed energy and the ingested energy, and generating a health report at least based on the countermeasure information; wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution period.
2. The method of claim 1, wherein the advice report includes athletic advice and dietary advice, wherein the obtaining the fight information corresponding to the consumed energy and the ingested energy, wherein the generating the health report further comprises, after generating the health report based at least on the fight information:
based on the sports advice, determining associated sports equipment matched with the content of the sports advice, and sending the corresponding content in the sports advice to the associated sports equipment; the method comprises the steps of,
based on the diet proposal, determining associated electrical equipment matched with the content of the diet proposal, and sending the corresponding content in the diet proposal to the associated electrical equipment.
3. The method of claim 2, wherein the acquiring the countermeasure information corresponding to the consumption energy and the intake energy, generating a health report based at least on the countermeasure information, further comprises:
displaying the monitoring report and the advice report, and setting adoption options at the sport advice and the diet advice of the advice report respectively;
acquiring a preset target matched with the execution period, and determining the completion rate of the preset target;
and acquiring the adoption rate of the adoption options in the execution period, and updating the suggestion report based on the adoption rate and the completion rate corresponding to the preset target.
4. The method according to claim 1, wherein the health report is displayed at a current terminal, and when other terminals are associated with the current terminal, the method further comprises:
responding to a trigger sending condition, and sending the health report of the current terminal to the other terminals; the sending conditions correspond to at least one other terminal, and are preset to be automatically sent or triggered by a user;
Generating reminding information based on the health reports of the other terminals in response to the health reports of the other terminals, and displaying the health reports of the other terminals and the reminding information; and after the reminding information is selected by the user, sending the reminding information to the corresponding other terminals.
5. The method of claim 4, wherein the advice report includes athletic advice, wherein the acquiring the countermeasure information corresponding to the consumed energy and the ingested energy, and wherein generating the health report based at least on the countermeasure information, further comprises:
generating a sharing option corresponding to the sports advice, and converting the corresponding sports advice into a sports schedule to be shared to a preset platform when detecting that a user selects the sharing option; the preset platform is provided with team forming options corresponding to the motion schedule;
and responding to the detection that the user selects to consult the preset platform, and displaying the motion schedule shared by the current terminal and the other terminals on the preset platform and the corresponding team forming options.
6. The method of claim 1, wherein the acquiring exercise data and diet data comprises:
In response to detecting that a user selects a preset period, acquiring exercise data and diet data in the preset period;
responsive to obtaining input content and detecting a user selection of immediate feedback, obtaining exercise data and diet data from the input content;
wherein the monitoring report and the advice report correspond to a time span of the exercise data and the diet data.
7. The method of claim 1, wherein the acquiring exercise data and dietary data, deriving energy consumption based on the exercise data, and prior to deriving energy intake based on the dietary data, further comprises:
acquiring basic information data and physiological acquisition data of a user;
the generating a health report based at least on the countermeasure information includes:
the health report is generated based on the base information data, the physiological acquisition data, and the challenge information.
8. The method of claim 7, wherein deriving energy based on the motion data comprises:
acquiring a motion type and a motion duration included in the motion data, and extracting a target data segment matched with the motion type and the motion duration from the physiological acquisition data;
And obtaining the consumed energy based on the basic information data, the target data segment and the motion data.
9. The method of claim 8, wherein the extracting the target data segment from the physiological acquisition data that matches the type of movement and the duration of movement comprises:
acquiring all candidate data segments meeting the motion condition and corresponding time stamps of the candidate data segments in the physiological acquisition data;
responding to the fact that the timestamp corresponding to the candidate data segment is matched with the recorded data input by the user, determining the motion type and the motion duration matched with the candidate data segment based on the recorded data, and taking the corresponding candidate data segment as a target data segment;
and responding to the condition that the timestamp corresponding to the candidate data segment is not matched with the recorded data input by the user, acquiring physiological acquisition data matched with the historical motion data as a historical data segment, determining the motion type and the motion duration matched with at least part of the candidate data segment based on the historical data segment, and taking the corresponding candidate data segment as a target data segment.
10. The method of claim 7, wherein the acquiring exercise data and diet data, deriving energy consumption based on the exercise data, and, after deriving energy intake based on the diet data, further comprises:
Generating prompt information and outputting the prompt information in real time based on at least one of the diet data, the exercise data, the basic information data and the physiological acquisition data;
and responding to the obtained schedule data, determining the schedule time related to the prompt information, and outputting the corresponding prompt information before the schedule time.
11. A health monitoring system, the health monitoring system comprising:
the acquisition module is used for acquiring exercise data and diet data, obtaining consumed energy based on the exercise data and obtaining ingested energy based on the diet data;
a generation module for acquiring countermeasure information corresponding to the consumed energy and the ingested energy, and generating a health report based at least on the countermeasure information; wherein the health report includes a monitoring report and a advice report, and the advice report corresponds to at least one execution period.
12. An intelligent device, comprising: a memory and a processor coupled to each other, the memory having stored therein program instructions for executing the program instructions to implement the health monitoring method of any of claims 1-10.
13. A computer readable storage medium having stored thereon program instructions, which when executed by a processor implement the health monitoring method according to any of claims 1-10.
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