Health / sports management system, method, electronic device, and storage medium

Abstract

The application provides a health / sports management system characterized in application to cerebrovascular disease supervision, comprising: a health management module for collecting and recording health information, comparing the health information with preset diagnostic criteria to obtain a comparison result, and outputting a corresponding prompt according to the comparison result; the health management module is also used for collecting relevant scale questionnaires and recording health conditions according to the relevant scale and questionnaires; the health management module is also used for receiving and managing admitted cerebrovascular disease diagnosis and treatment results; a sports management module is used for scoring and evaluating facial paralysis, upper limb and lower limb movement according to a to-be-evaluated sports video, and obtaining a detection result according to the scoring and evaluation. The system can realize the combination of recording and feedback, meet the universality from health recording to secondary prevention and the compatibility from health follow-up to functional evaluation, realize user self-testing of sports functions, and facilitate user health self-checking.

Description

Technical Field

[0001] This application relates to the field of mobile medical technology, and more particularly to a health / sports management system, method, electronic device, and storage medium. Background Technology

[0002] Cerebrovascular disease is a serious neurological disorder, with stroke being a leading cause of long-term disability worldwide. 80% of stroke patients experience motor dysfunction after the onset of the disease, with hemiplegia and facial paralysis being among the main causes of functional limitations. For stroke patients with motor injuries, effective secondary prevention of cerebrovascular disease, reducing recurrence rates, enabling self-assessment of motor function, timely feedback on motor function recovery, and early detection of potential disease exacerbations are crucial.

[0003] Currently, the prevention and control of cerebrovascular diseases mainly relies on patients visiting hospitals for long-term health visits and visual health management; or on mobile medical technology to effectively assist in the prevention and control of cerebrovascular diseases.

[0004] However, the above solutions mainly have the following problems: the distribution of medical resources is uneven, and conditions and manpower are relatively limited. Patients have difficulty in obtaining real-time health assessments and motor function evaluations. Pre-hospital delays are the main obstacle to improving the treatment effect of acute ischemic stroke. At present, health management-related apps on the market have relatively singular focus, lack universality from health records to secondary prevention and compatibility from health follow-up to functional evaluation, and lack convenient and standardized support for stroke motor function evaluation, resulting in low practical application. Summary of the Invention

[0005] This application provides a health / exercise management system to address the problem in existing technologies where patients have difficulty obtaining real-time health assessments and exercise function evaluations due to the uneven distribution of medical resources, relatively limited conditions and manpower, and the relatively singular focus of health management-related apps.

[0006] In a first aspect, this application provides a health / exercise management system, comprising:

[0007] The health management module is used to collect and record health information, compare the health information with preset diagnostic criteria, obtain comparison results, and output corresponding prompts based on the comparison results.

[0008] The health management module is also used to collect relevant questionnaires and record health status based on the relevant questionnaires.

[0009] The health management module is also used to receive and manage the entered cerebrovascular disease-related diagnosis and treatment results.

[0010] The motion management module is used to score and evaluate the facial paralysis, upper limb and lower limb movements based on the motion video to be tested, and to obtain the test results based on the scoring and evaluation.

[0011] In one possible implementation, the motion management module is specifically used to acquire a motion video to be evaluated; using the motion video, perform posture estimation and key point detection according to preset scoring criteria and preset action tasks to obtain a detection score; and output a detection result based on the detection score, the detection result including: the detection score, health tips, and medical advice.

[0012] In one possible implementation, the health management module is specifically used to determine whether it is the first time the health information to be evaluated is being acquired; when the health information to be evaluated is being acquired for the first time, a corresponding prompt is output.

[0013] When obtaining health information to be evaluated for the first time, the previous health information is obtained, and the health information to be evaluated is compared with the previous health information to obtain a comparison result.

[0014] or,

[0015] When acquiring health information to be evaluated for the first time, the system acquires a preset diagnostic standard and the previous health information, determines whether the health information to be evaluated meets the preset diagnostic standard, and compares the health information to be evaluated with the previous health information to obtain a comparison result.

[0016] Based on the comparison results, output the corresponding prompt.

[0017] In one possible implementation, the health management module is specifically used for:

[0018] Collect relevant scales and questionnaires on cerebrovascular diseases, record the results based on the content of the relevant scales and questionnaires, and provide feedback on health status.

[0019] In one possible implementation, the health management module is specifically used to record and store the entered cerebrovascular disease-related diagnosis and treatment results, and to set diagnosis and treatment prompts and manage them based on the diagnosis and treatment results.

[0020] In one possible implementation, the motion management module is specifically used to obtain the motion video to be evaluated based on the video uploaded by the user.

[0021] Alternatively, the system can acquire videos captured in real-time by the user through a camera and use these videos as the sports videos to be evaluated.

[0022] In one possible implementation, the motion management module is specifically used to process the motion video to be evaluated using a preset model, obtain key points, extract preset variables based on the key points, and obtain extraction results.

[0023] Using the extracted results, compare them with the preset action task to perform pose estimation and key point detection, and obtain the comparison results;

[0024] A detection score is obtained based on the preset scoring criteria and the comparison results.

[0025] Secondly, this application provides a health / exercise management method, including:

[0026] Obtain the health information to be assessed, and obtain the exercise videos to be assessed;

[0027] The health information is compared with preset diagnostic criteria to obtain the comparison results, and corresponding prompts are output based on the comparison results.

[0028] Using the motion video, pose estimation and key point detection are performed according to preset scoring criteria and preset action tasks to obtain a detection score;

[0029] The test results are output based on the test score, and the test results include: the test score, health tips, and medical advice.

[0030] Thirdly, this application provides an electronic device, including: a processor and a memory, wherein the processor is configured to execute a health / sports management system program stored in the memory to implement the health / sports management system described in any one of the first aspects.

[0031] Fourthly, this application provides a storage medium storing one or more programs that can be executed by one or more processors to implement the health / exercise management method described in the second aspect.

[0032] Compared with the prior art, the technical solution provided in this application has the following advantages: The method provided in this application, applied to the monitoring of cerebrovascular diseases, includes: a health management module, used to collect and record health information, compare the health information with preset diagnostic standards, obtain comparison results, and output corresponding prompts based on the comparison results; the health management module is also used to collect relevant questionnaires and record health status based on the relevant questionnaires; the health management module is also used to receive and manage the entered cerebrovascular disease-related diagnosis and treatment results; and a movement management module, used to score and evaluate facial paralysis, upper limb and lower limb movement based on the exercise video to be tested, and obtain test results based on the scoring and evaluation. This method can combine recording and feedback, meeting the universality from health records to secondary prevention and the compatibility from health follow-up to functional evaluation; it provides the possibility for users to conduct self-assessment of movement function, facilitating stroke patients with movement dysfunction to understand their own movement function recovery status in a timely manner, and also facilitating users to conduct self-checks and self-corrections of their health status and timely identify possible movement dysfunctions. Attached Figure Description

[0033] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0036] Figure 1 This is a schematic diagram of the structure of a health / sports management system provided in an embodiment of this application;

[0037] Figure 2 A flowchart illustrating an embodiment of a motion management module interface provided in this application;

[0038] Figure 3 A flowchart illustrating an embodiment of facial paralysis test scoring logic provided in this application;

[0039] Figure 4 A schematic diagram of a limb movement recognition point provided in an embodiment of this application;

[0040] Figure 5 A flowchart illustrating an embodiment of an evaluation standard and recommendations for a sports management module provided in this application;

[0041] Figure 6 A flowchart illustrating an embodiment of a health / exercise management method provided in this application;

[0042] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] The following disclosure provides numerous different embodiments or examples for implementing various structures of this application. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of this application. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0045] To address the technical challenges of existing health management apps, which often lack real-time access to health assessments and motor function evaluations due to uneven distribution of medical resources, limited resources, and narrow focus, this application provides a health / exercise management system. This system combines recording and feedback, achieving universality from health records to secondary prevention and compatibility from health follow-up to functional evaluation. It enables users to conduct self-assessment of motor function, facilitating stroke patients with motor dysfunction to understand their recovery status and enabling a wider range of users to self-monitor their health and identify potential motor dysfunctions.

[0046] Figure 1 This is a schematic diagram of a health / exercise management system provided as an embodiment of this application. In one embodiment, the system is applied to the monitoring of cerebrovascular diseases. Figure 1 As shown, the system specifically includes:

[0047] Health Management Module 101 and Exercise Management Module 102.

[0048] The health management module 101 is used to collect and record health information, compare the health information with preset diagnostic standards, obtain comparison results, and output corresponding prompts based on the comparison results; it is also used to collect relevant questionnaires and record health status based on the relevant questionnaires; it is also used to receive and manage the entered cerebrovascular disease-related diagnosis and treatment results.

[0049] The motion management module 102 is used to score and evaluate the facial paralysis, upper limb and lower limb movements based on the motion video to be tested, and to obtain the test results based on the score evaluation.

[0050] In this embodiment, a health / exercise management system based on a smartphone app is provided for the monitoring of cerebrovascular diseases. The system includes a health management module 101 and an exercise management module 102. The health management module 101 primarily collects and records health information such as cerebrovascular disease-related risk factors: it collects users' blood pressure, exercise, blood sugar, and tobacco and alcohol management information to assist in the management of cerebrovascular disease-related risk factors. Multiple data entries can be made per day, and multi-day data is presented in the form of a line graph. After each data entry, analysis and personalized, interactive suggestions are provided based on relevant indicators and past data. It collects questionnaires and scales to assist in recording periodic health conditions: it collects cerebrovascular disease-related questionnaires and scales to assist in recording periodic health conditions. It also provides medical record management functions: users can independently enter cerebrovascular disease-related laboratory results and set medication reminders to assist in medical record management. The exercise management module 102 primarily completes the NIHSS scoring assessment function for facial paralysis, upper limb, and lower limb movement based on videos. Users upload exercise videos according to the rules or example videos. The system processes the videos and provides system scores and suggestions.

[0051] This application provides a health / exercise management system, comprising: a health management module for collecting and recording health information, comparing it with preset diagnostic criteria, obtaining comparison results, and outputting corresponding prompts based on the comparison results; a health management module for collecting relevant questionnaires and recording health status based on the questionnaires; a health management module for receiving and managing entered cerebrovascular disease-related diagnosis and treatment results; and an exercise management module for scoring and evaluating facial paralysis, upper limb, and lower limb movements based on a test video, and obtaining test results based on the scoring and evaluation. This system combines recording and feedback, meeting the universality requirements from health recording to secondary prevention and the compatibility from health follow-up to functional evaluation; it provides users with the possibility of self-assessment of motor function, facilitating stroke patients with motor dysfunction to understand their motor function recovery status in a timely manner, and also enabling users to self-check their health status and promptly identify potential motor dysfunctions.

[0052] In an optional embodiment of the present invention, the health management module 101 is specifically used to determine whether the health information to be evaluated is being acquired for the first time; when the health information to be evaluated is being acquired for the first time, a corresponding prompt is output; when the health information to be evaluated is not being acquired for the first time, the previous health information is acquired, and the health information to be evaluated is compared with the previous health information to obtain a comparison result; or, when the health information to be evaluated is not being acquired for the first time, a preset diagnostic standard and the previous health information are acquired, it is determined whether the health information to be evaluated meets the preset diagnostic standard, and the health information to be evaluated is compared with the previous health information to obtain a comparison result; based on the comparison result, a prompt corresponding to the comparison result is output.

[0053] Specifically, the system collects users' blood pressure, exercise, blood sugar, and tobacco and alcohol management information to assist in the management of risk factors related to cerebrovascular diseases. Multiple data entries can be made daily, and multi-day data is presented in the form of a line graph. After each data entry, analysis and personalized, interactive suggestions are provided based on relevant indicators and past data. Specifically, when a user opens the health management module 101 to enter health information, if the system detects that this is the user's first time entering this information, it will output a prompt indicating that the information has not been entered. If the information is not entered for the first time, the system will retrieve the previously entered health information and compare it with the information to be evaluated to obtain a comparison result. Alternatively, if there are diagnostic criteria for judging whether the health information is within the normal range, the system will retrieve the preset diagnostic criteria and compare them with the previously entered health information. The comparison with the preset diagnostic criteria will determine whether the user's entered health information is within the normal range, and the comparison with the specific values ​​of the previously obtained information will determine the change in health status, obtaining a comparison result. Based on the comparison result, corresponding prompts will be output.

[0054] In one example, a user opens the health management module 101 to enter and receive feedback on their blood pressure. The system will determine if this is the first time entering blood pressure. If it is the first time, the system will judge the systolic and diastolic blood pressure values ​​according to the hypertension diagnostic criteria. If the user's blood pressure is within the normal range, the system will prompt "Good, good, your blood pressure is currently stable." If the user's blood pressure has reached the hypertension diagnostic criteria (systolic blood pressure ≥140 and / or diastolic blood pressure ≥90), the system will prompt "Oops, your blood pressure is a bit high. You need to adjust it according to your doctor's advice." For subsequent blood pressure entries, after obtaining the preset diagnostic criteria (hypertension diagnostic criteria), the system will retrieve the previously obtained blood pressure information and compare it with the hypertension diagnostic criteria to determine whether the user's input blood pressure value is within the normal range. The system will then compare the currently entered blood pressure information with the previously entered blood pressure information to obtain the comparison results and determine how the blood pressure has changed compared to the previous entry. If a user's blood pressure has increased compared to the previous reading and has reached the diagnostic criteria for hypertension, the message will be: "Why has your blood pressure recently become high? We recommend a medical evaluation, proper medication management, and reducing pressure on your blood vessels." If the user has a history of hypertension and their current blood pressure is still high, the message will be: "Your blood pressure is still a bit high. Don't worry, attend your follow-up appointments as scheduled, follow your doctor's instructions, and you will see results." If the user's blood pressure was previously within the normal range and is still normal, the message will be: "Great! Your blood pressure remains stable as always." If the user has a history of hypertension and their current blood pressure is within the normal range, the message will be: "Congratulations! Keep managing it, and your blood pressure is getting better and better."

[0055] In another example, a user opens the health management module 101 to record and receive feedback on their exercise. The system determines whether this is the first time recording exercise. For users recording for the first time and with no exercise records yet, the system prompts, "Oops, I forgot to exercise today! Take a break and start tomorrow." For users recording exercise data for the first time, the system prompts, "Great! A little exercise every day brings more happiness and health." For users who have recorded exercise data before, the system retrieves and compares the previously obtained exercise information. If the exercise duration has increased compared to the previous time, the system prompts, "Your enthusiasm for exercise is higher lately! Remember to rest appropriately." If the exercise duration is the same as before, the system prompts, "Great! Keep exercising and be a self-disciplined person." If there are no recent exercise records, the system prompts, "It's been a while since you exercised. Take a break and exercise!" If the exercise duration has decreased compared to the previous time, the system prompts, "Have you been exercising less lately? Take a break if you're tired."

[0056] In another example, a user opens the health management module 101 to enter and receive feedback on their smoking and drinking information. The system will determine whether this is the first time entering information. For users entering smoking / drinking information for the first time, if the number of cigarettes smoked is 0, the system will prompt "Great! Another day of refusing nicotine!"; if the number of alcohol consumed is 0, the system will prompt "Aha, saying goodbye to alcohol today, another point for health!"; if there is a smoking record, the system will prompt "Oh dear, why couldn't you resist the temptation of tobacco today?"; if there is a drinking record, the system will prompt "Try drinking less, you can gain more positive energy!"; for users entering smoking information for the first time... Users retrieve and compare their previous smoking / drinking information. If the amount of smoking / drinking has increased, the system prompts, "You've been exposed to tobacco / alcohol quite a bit lately! Your body is issuing a health warning!" If the amount remains the same, the system prompts, "You're still in contact with tobacco / alcohol; perhaps you should try reducing it." If the amount has decreased, the system prompts, "Great! You've distanced yourself from tobacco / alcohol again! Keep it up!" If there is no smoking / drinking in either the current or previous data, the system prompts, "Impressive! Say 'no' to tobacco / alcohol, maintain self-discipline, and embrace health."

[0057] In one optional embodiment of the present invention, the health management module 101 is specifically used to collect relevant scales and questionnaires for cerebrovascular diseases, record the content of the relevant scales and questionnaires, and provide feedback on health status.

[0058] Specifically, the system collects relevant scales and questionnaires for cerebrovascular diseases to assist in recording periodic health status, including the Padua score for vascular embolism, the Barthel Index for activities of daily living, the mRS score, the Self-Rating Anxiety Scale (SAS), and the Self-Rating Depression Scale (SDS). Based on the results of these scales and questionnaires, the system dynamically assesses the patient's condition, adjusts the risk assessment promptly according to changes in the condition and treatment plan, and records the patient's health status.

[0059] In an optional embodiment of the present invention, the health management module 101 is specifically used to receive and store the entered cerebrovascular disease-related diagnosis and treatment results, and to set diagnosis and treatment prompts and management based on the diagnosis and treatment results.

[0060] Specifically, the system allows users to independently enter and store cerebrovascular disease-related test results, and can set medication reminders to assist in the management of medical records.

[0061] In an optional embodiment of the present invention, the motion management module 102 is specifically used to acquire the motion video to be evaluated; use the motion video to perform posture estimation and key point detection according to preset scoring standards and preset action tasks to obtain a detection score; and output the detection result according to the detection score, the detection result including: detection score, health tips and medical advice.

[0062] In this embodiment, the motion management module 102 accesses the facial paralysis test, upper limb motion test, and lower limb motion test interfaces through independent ports, and performs NIHSS scoring assessments for the three parts respectively. Upon entering each of the three interfaces, a rule introduction and example video are first displayed. The user uploads the corresponding action video according to the instructions. Then, the system acquires the motion video to be assessed, performs posture estimation and key point detection, and then generates a detection score based on the motion video to be assessed, preset scoring standards, and preset action tasks. Finally, the system outputs the detection results, which include the detection score, health tips, and medical advice.

[0063] The health / exercise management system provided in this application embodiment collects and records health information through a health management module, compares the health information with preset diagnostic standards to obtain comparison results, and outputs corresponding prompts based on the comparison results; collects relevant questionnaires and records health status based on the relevant questionnaires and scales; receives and manages entered cerebrovascular disease-related diagnosis and treatment results; and uses an exercise management module to score and evaluate facial paralysis, upper limb, and lower limb movements based on the exercise video to be tested, and obtains test results based on the scoring and evaluation. It can achieve a combination of recording and feedback, meeting the universality requirements from health recording to secondary prevention and the compatibility from health follow-up to functional evaluation; it provides the possibility for users to conduct self-assessment of motor function, facilitating stroke patients with motor dysfunction to understand their own motor function recovery status in a timely manner, and also making it convenient for users to conduct self-checks and self-corrections of their health status and promptly identify potential motor dysfunctions.

[0064] Figure 2 A flowchart illustrating an embodiment of a motion management module interface provided in this application is shown below. Figure 2 The motion management module 102 can perform three types of tests, which may include: facial paralysis test, upper limb motion test and lower limb motion test.

[0065] In an optional embodiment of the present invention, the motion management module 102 is specifically used to obtain the motion video to be evaluated based on the video uploaded by the user; or, to obtain the video captured by the user in real time through the camera and use the video as the motion video to be evaluated.

[0066] In this embodiment, the system needs to acquire the motion video to be evaluated. This motion video is a video of the user performing corresponding task actions according to the detection rules. Specifically, the user can upload a pre-recorded motion video showing the user performing corresponding task actions according to the detection rules. Alternatively, the user can use their smartphone camera to perform corresponding task actions according to the detection rules in real time and generate a motion video.

[0067] In this embodiment, the tasks for the facial paralysis test are as follows: Facing the camera in a uniformly lit area, ensuring the entire head and face are in the frame, perform five actions: facial stillness, showing teeth, puffing out cheeks, frowning, and closing eyes, holding each action for 5 seconds. The tasks for the upper limb movement test are as follows: The user lies flat on the bed with arms extended at their sides, palms down, exposing the elbows, and legs naturally straight. The camera is positioned directly to the user's side (on the same side as the limb being assessed), at the same height as the bed surface, ensuring a full-body view. The user raises the upper limb on the side to be assessed 45 degrees off the bed, holds the position for 10 seconds, and then lowers it. The tasks for the lower limb movement test are as follows: The user lies flat on the bed with legs extended, exposing the knees and feet, and arms at their sides. The camera is positioned directly to the user's side (on the same side as the limb being assessed), at the same height as the bed surface, ensuring a full-body view. The user raises the lower limb on the side to be assessed 30 degrees off the bed, holds the position for 5 seconds, and then lowers it.

[0068] In an optional embodiment of the present invention, the motion management module 102 is specifically used to process the motion video to be evaluated using a preset model, obtain key points, extract preset variables based on the key points, and obtain extraction results; compare the extraction results with a preset action task to perform posture estimation and key point detection, and obtain comparison results; and obtain a detection score based on a preset scoring standard and comparison results.

[0069] Specifically, the system employs a high-resolution network (HRNet) model designed for open-access human pose estimation to identify key points of the user in the motion video to be evaluated, and extracts variables such as angle, vertical distance, and time to obtain the extraction results. Based on the comparison of these extraction results with a standard motion task, pose estimation and key point detection are performed. Further logical interpretation is conducted based on the comparison results, and a detection score is obtained according to the preset scoring criteria and the comparison results.

[0070] In one example, after a user performs a facial paralysis test and uploads a video of their movements, the system uses a high-resolution network model designed for open-access human pose estimation to identify 98 key facial features and extract variables such as angles and vertical distances. Then, based on five video clips uploaded by the user showing facial stillness, teeth showing, cheek puffing, frowning, and eyes closed, the system interprets the data according to the NIHSS facial paralysis scoring logic tree. Figure 3A flowchart illustrating an embodiment of facial paralysis test scoring logic provided in this application is shown below. Figure 3 The procedure is as follows: First, a video analysis is performed in a quiet state. If, in a quiet state, one side of the nasolabial fold becomes shallower or the facial wrinkles are asymmetrical, the analysis proceeds to the frowning / eye-closing action. If, in the absence of eye-closing action, one side cannot fully close its eyes, or in the frowning action, the eyebrow is difficult to raise and the forehead wrinkles become shallower, it indicates central facial paralysis, with an NIHSS score of 2. If, in a quiet state, both facial wrinkles and forehead wrinkles are asymmetrical, or if, in the absence of eye-closing action, one side cannot fully close its eyes, or in the frowning action, the eyebrow is difficult to raise and the forehead wrinkles become shallower, it indicates peripheral facial paralysis, with an NIHSS score of 3. If, in a quiet state, both sides of the nasolabial folds and facial wrinkles are symmetrical, the analysis proceeds to the teeth-showing / cheek-puffing video analysis and the frowning / eye-closing video analysis. If, in the teeth-showing or cheek-puffing action, both sides of the facial wrinkles are asymmetrical, and in the absence of eye-closing action, one side cannot fully close its eyes, or in the frowning action, the eyebrow is difficult to raise and the forehead wrinkles become shallower, it indicates central facial paralysis, with an NIHSS score of 1. If all five actions are symmetrical bilaterally, it indicates a normal state without facial paralysis, with an NIHSS score of 0.

[0071] In one optional embodiment of this application, for users with a score of 0, the system indicates that their facial movement score is normal and suggests that they seek medical attention promptly if they experience any discomfort; for users with scores of 1, 2, and 3, the system indicates that they have mild, partial, and complete facial paralysis, respectively, and suggests that they seek medical attention as soon as possible if it occurs for the first time, and that stroke sequelae patients should regularly visit the rehabilitation department to assess their rehabilitation treatment plan.

[0072] Figure 4 This is a schematic diagram of a limb movement recognition point provided in an embodiment of this application. In one example, after a user performs an upper / lower limb movement test and uploads a video of the movement, the system uses a high-resolution network model designed with open-access human pose estimation to recognize, for example, limb movements. Figure 5 The 33 key points on the whole body were analyzed, and variables such as angle, time, and angular velocity were extracted. Then, based on the upper limb / lower limb movement videos uploaded by the user, the data was interpreted according to the NIHSS scoring criteria. Specifically, Figure 5 A flowchart illustrating an embodiment of an evaluation standard and recommendations for a motion management module provided in this application is shown below. Figure 5The NIHSS score for the upper limb is as follows: if the upper limb can be raised to 45 degrees and held for 10 seconds without drifting, the score is 0; if the upper limb can be raised to 45 degrees but cannot be held for 10 seconds, and drifting / falling does not hit the bed or other support, the score is 1; if the upper limb can resist some gravity, but cannot reach or maintain a 45-degree lying position and falls back onto the bed relatively quickly within 10 seconds, the score is 2; if the upper limb cannot resist gravity and cannot lift itself off the bed, the score is 3; if there is no movement, the score is 4. In the NIHSS scoring of the lower extremities, if the upper limb can be raised to 30 degrees and held for 5 seconds without drifting, the score is 0; if the upper limb can be raised to 30 degrees but cannot be held for 5 seconds, and drifting / falling does not hit the bed or other support, the score is 1; if the upper limb can resist some gravity, but cannot reach or maintain a 30° lying position and falls back onto the bed quickly within 5 seconds, the score is 2; if the upper limb cannot resist gravity and cannot lift itself off the bed, the score is 3; if there is no movement, the score is 4.

[0073] In one optional embodiment of this application, for users with a score of 0, the system indicates that there is no drift and suggests that they seek medical attention promptly if they experience any discomfort; for users with a score of 1-4, the system indicates that there is abnormal limb motor function and suggests that they seek medical attention as soon as possible if this occurs for the first time. If the patient has sequelae of stroke, they should regularly visit the rehabilitation department for evaluation of rehabilitation treatment plans.

[0074] The health / exercise management system provided in this application embodiment obtains the exercise video to be evaluated based on the user-uploaded video through the exercise management module; or, it obtains the video captured by the user in real time through a camera and uses this video as the exercise video to be evaluated. It also uses a preset model to process the exercise video to be evaluated, obtain key points, extract preset variables based on the key points, and obtain extraction results; it uses the extraction results to compare with preset action tasks, performs posture estimation and key point detection, and obtains comparison results; based on preset scoring standards and comparison results, it obtains a detection score. This provides the possibility for users to conduct self-assessment of motor function, making it easier for stroke patients with motor dysfunction to understand their own motor function recovery status in a timely manner, and also facilitating self-checking and self-correction of health status and timely identification of potential motor dysfunction among a wide range of users.

[0075] Figure 6 This is a flowchart illustrating an embodiment of a sports / health management method provided in this application. Figure 6 As shown, the method includes:

[0076] S101. Obtain the health information to be evaluated and the exercise video to be evaluated.

[0077] In this embodiment, the system obtains the health information uploaded by the user to be evaluated. This health information can include the user's blood pressure, exercise, blood sugar, and tobacco and alcohol management information, thereby assisting in the management of risk factors related to cerebrovascular diseases. Furthermore, the health information can be entered multiple times a day, and the data for multiple days is presented in the form of a line graph. After each data entry is completed, analysis and personalized, interactive suggestions are provided based on relevant indicators and past data.

[0078] In an optional embodiment of this application, users can also upload motion videos for motor function evaluation. Specifically, users can access the facial paralysis test, upper limb movement test, and lower limb movement test interfaces through independent portals to perform NIHSS scoring assessments for the three parts mentioned above. Upon entering each of the three interfaces, a rule introduction and example video are first displayed. Users need to upload the corresponding action videos according to the instructions and then wait for the system to score and provide suggestions.

[0079] S102. Compare the health information with preset diagnostic standards to obtain the comparison results, and output corresponding prompts based on the comparison results.

[0080] In this embodiment, after a user uploads a certain health information, the system will compare the health information with the preset diagnostic criteria and the value of the health information entered last time to determine whether the health value is within the normal range and how it has changed compared to the past, obtain the comparison result, and output the corresponding health prompt based on the comparison result.

[0081] Specifically, the aforementioned health information may include the user's blood pressure, exercise, blood sugar, and tobacco and alcohol management information. After obtaining this health information, the system can assist in the management of risk factors related to cerebrovascular diseases. Furthermore, the health information can be entered multiple times a day, with multi-day data presented in a line graph format. Simultaneously, the system will determine whether the user is entering a certain health information for the first time and will record and prompt accordingly for both first-time and subsequent entries. For example, if the user is entering exercise data for the first time and the data has increased compared to the previous entry, the system will prompt the user, "Your exercise enthusiasm is higher lately! Remember to rest appropriately."

[0082] S103. Using the motion video, perform posture estimation and key point detection according to preset scoring criteria and preset action tasks to obtain a detection score.

[0083] In this embodiment, after the user uploads the motion video according to the rules or example video, the system will obtain the motion video for further processing. Specifically, the system will use a preset model to perform pose estimation and key point detection on the motion video. The preset model can be a high-resolution network model designed for open-source human pose estimation, thereby identifying key points of the user's face or upper / lower limbs in the video, extracting relevant variables, and using a preset scoring standard to detect the user's action task based on the obtained variables, and obtaining a detection score.

[0084] In one example, when a user takes a facial paralysis test, the system identifies 98 key facial features in the user's uploaded motion video, extracts variables such as angle and vertical distance, and then uses a preset scoring standard to score the preset actions the user makes in the motion video. The system scores the user according to the scoring logic for the facial paralysis test to obtain a detection score.

[0085] S104. Output the test results based on the test score, the test results including: the test score, health tips and medical advice.

[0086] In this embodiment, the system will determine the user's health status based on the obtained detection score and obtain the detection result of the user's health status, which includes the detection score, health tips and medical advice.

[0087] In one example, when a user undergoes a facial paralysis test, the user follows the prompts to complete the test. The system interprets and scores the results based on the NIHSS scoring logic for facial paralysis, and then outputs the user's test results, which include: a test score of 0, a normal facial movement score, and a recommendation to seek medical attention promptly if any discomfort occurs.

[0088] Figure 6 The illustrated process provides a method for exercise / health management, which involves: acquiring health information and exercise videos to be assessed; comparing the health information with preset diagnostic criteria to obtain comparison results, and outputting corresponding prompts based on the comparison results; using the exercise videos, performing posture estimation and key point detection according to preset scoring criteria and preset action tasks to obtain a detection score; and outputting detection results based on the detection score, including the detection score, health prompts, and medical advice. This method combines recording and feedback, and risk factor management with exercise function evaluation, achieving universality from health recording to secondary prevention and compatibility from health follow-up to functional evaluation. It provides users with the possibility of self-assessment of exercise function, facilitating stroke patients with exercise dysfunction to understand their exercise function recovery status in a timely manner, and also enabling a wider range of users to self-check their health status and promptly identify potential exercise dysfunctions.

[0089] like Figure 7 As shown in the figure, this application provides an electronic device, including a processor 711, a communication interface 712, a memory 713, and a communication bus 714, wherein the processor 711, the communication interface 712, and the memory 713 communicate with each other through the communication bus 714.

[0090] Memory 713 is used to store computer programs;

[0091] In one embodiment of this application, when the processor 711 executes a program stored in the memory 713, it implements the health / sports management system provided in any of the foregoing embodiments, including:

[0092] The health management module is used to collect and record health information, compare the health information with preset diagnostic standards, obtain comparison results, and output corresponding prompts based on the comparison results. The health management module is also used to collect relevant questionnaires and record health status based on the relevant questionnaires and scales. The health management module is also used to receive and manage the entered cerebrovascular disease-related diagnosis and treatment results. The exercise management module is used to score and evaluate facial paralysis, upper limb, and lower limb movements based on the exercise video to be tested, and obtain test results based on the scoring and evaluation.

[0093] In one possible implementation, a motion video to be evaluated is acquired; using the motion video, posture estimation and key point detection are performed according to a preset scoring standard and a preset action task to obtain a detection score; and a detection result is output based on the detection score, the detection result including: the detection score, health tips, and medical advice.

[0094] In one possible implementation, it is determined whether the health information to be evaluated is being acquired for the first time; if it is being acquired for the first time, a corresponding prompt is output. If it is not being acquired for the first time, the previous health information is acquired, and the health information to be evaluated is compared with the previous health information to obtain a comparison result; or, if it is not being acquired for the first time, preset diagnostic criteria and the previous health information are acquired, it is determined whether the health information to be evaluated meets the preset diagnostic criteria, and the health information to be evaluated is compared with the previous health information to obtain a comparison result; based on the comparison result, a prompt corresponding to the comparison result is output.

[0095] In one possible implementation, relevant scales and questionnaires for cerebrovascular diseases are collected, the contents of the relevant scales and questionnaires are recorded, and the health status is reported.

[0096] In one possible implementation, the cerebrovascular disease-related diagnosis and treatment results are recorded and stored, and diagnosis and treatment prompts and management are set based on the diagnosis and treatment results.

[0097] In one possible implementation, the sports video to be evaluated is obtained based on the video uploaded by the user; or, the video captured by the user in real time through a camera is obtained and used as the sports video to be evaluated.

[0098] In one possible implementation, the motion video to be evaluated is processed using a preset model to obtain key points, and preset variables are extracted based on the key points to obtain extraction results; the extraction results are compared with a preset action task to perform posture estimation and key point detection to obtain comparison results; and a detection score is obtained based on preset scoring criteria and the comparison results.

[0099] This application embodiment also provides a storage medium (computer-readable storage medium). This storage medium stores one or more programs. The storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk, or solid-state drive; the memory may also include combinations of the above types of memory. When one or more programs in the storage medium can be executed by one or more processors to implement the above-described exercise / health management method executed on the exercise / health management device side, the processor is used to execute the exercise / health management program stored in the memory to implement the following steps of executing the exercise / health management method on the exercise / health management device side:

[0100] The system acquires health information and exercise videos to be evaluated; compares the health information with preset diagnostic criteria to obtain comparison results, and outputs corresponding prompts based on the comparison results; uses the exercise videos to perform posture estimation and key point detection according to preset scoring criteria and preset action tasks to obtain a detection score; and outputs detection results based on the detection score, including the detection score, health prompts, and medical advice.

[0101] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0102] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0103] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0104] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A health / sports management system, characterized in that, Applications in the monitoring of cerebrovascular diseases include: The health management module is used to collect and record health information, compare the health information with preset diagnostic criteria, obtain comparison results, and output corresponding prompts based on the comparison results. The health management module is also used to collect relevant questionnaires and record health status based on the relevant questionnaires. The health management module is also used to receive and manage the entered cerebrovascular disease-related diagnosis and treatment results. The motion management module is used to score and evaluate facial paralysis, upper limb and lower limb movements based on the motion video to be evaluated, and to obtain the detection results based on the scoring and evaluation.

2. The system according to claim 1, characterized in that, The motion management module is specifically used to acquire motion videos to be evaluated; using the motion videos, it performs posture estimation and key point detection according to preset scoring standards and preset action tasks to obtain a detection score. The test results are output based on the test score, and the test results include: the test score, health tips, and medical advice.

3. The system according to claim 1, characterized in that, The health management module is specifically used to determine whether the health information to be evaluated is being acquired for the first time; when the health information to be evaluated is being acquired for the first time, a corresponding prompt is output. When obtaining health information to be evaluated for the first time, the previous health information is obtained, and the health information to be evaluated is compared with the previous health information to obtain a comparison result. or, When acquiring health information to be evaluated for the first time, the system acquires a preset diagnostic standard and the previous health information, determines whether the health information to be evaluated meets the preset diagnostic standard, and compares the health information to be evaluated with the previous health information to obtain a comparison result. Based on the comparison results, output the corresponding prompt.

4. The system according to claim 1, characterized in that, The health management module is specifically used to collect relevant scales and questionnaires for cerebrovascular diseases, record the content of the relevant scales and questionnaires, and provide feedback on health status.

5. The system according to claim 1, characterized in that, The health management module is specifically used to record and store the entered cerebrovascular disease-related diagnosis and treatment results, and to set diagnosis and treatment prompts and manage them based on the diagnosis and treatment results.

6. The system according to claim 1, characterized in that, The sports management module is specifically used to obtain the sports video to be evaluated based on the video uploaded by the user. Alternatively, the system can acquire videos captured in real-time by the user through a camera and use these videos as the sports videos to be evaluated.

7. The system according to claim 2, characterized in that, The motion management module is specifically used to process the motion video to be evaluated using a preset model, obtain key points, extract preset variables based on the key points, and obtain extraction results. Using the extracted results, compare them with the preset action task to perform pose estimation and key point detection, and obtain the comparison results; A detection score is obtained based on the preset scoring criteria and the comparison results.

8. A health / exercise management method, characterized in that, The method includes: Obtain the health information to be assessed, and obtain the exercise videos to be assessed; The health information is compared with preset diagnostic criteria to obtain the comparison results, and corresponding prompts are output based on the comparison results. Using the motion video, pose estimation and key point detection are performed according to preset scoring criteria and preset action tasks to obtain a detection score; The test results are output based on the test score, and the test results include: the test score, health tips, and medical advice.

9. An electronic device, characterized in that, include: A processor and a memory, the processor being configured to execute a health / exercise management system program stored in the memory to implement the health / exercise management system as described in claims 1-7.

10. A storage medium, characterized in that, The storage medium stores one or more programs, which can be executed by one or more processors to implement the scoring and evaluation method described in claim 8.

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