Physiotherapy couch physiotherapy strategy management method based on user physiological data

Abstract

The invention discloses a physiotherapy couch physiotherapy strategy management method based on user physiological data, and relates to the technical field of physiotherapy management, and the method comprises the steps: based on the collection operation of user personal information before physiotherapy, collecting the user physiological data in real time through a sensor, and then analyzing the collected data to generate an optimized adjustment strategy. According to the physiotherapy couch physiotherapy strategy management method based on the user physiological data, preliminary strategy adjustment operation meeting user requirements is completed by achieving screening and extraction operation on the collected data, and an optimized adjustment strategy is determined by combining the collected real-time data with a threshold value evaluation algorithm; re-evaluation of the user condition is completed within a time threshold after strategy adjustment response, reciprocating operation is carried out, a final physiotherapy strategy is obtained, a personalized physiotherapy strategy is generated for the user, physiotherapy strategy optimization is carried out according to physiological data of the user in the physiotherapy process, safety and effectiveness of the physiotherapy process are ensured, and the user experience is improved. And the comfort level for physical therapy is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of physical therapy management, and in particular to a physical therapy strategy management method for a physical therapy bed based on user physiological data. Background Art

[0002] As people's pace of life accelerates and work pressure increases, various physical discomfort problems are increasing. As a common physiotherapy equipment, physiotherapy beds are widely used in beauty centers and other places to help users achieve body care, relieve physical fatigue, promote blood circulation, improve body functions, etc.

[0003] The reference patent name is: An ultrasonic beauty instrument and its control method, ultrasonic beauty system and storage medium (patent publication number: CN118320332A, patent publication date: 2024-07-12). The ultrasonic beauty instrument includes a beauty instrument body and an ultrasonic output component. The beauty instrument body is used in conjunction with a medium. The medium is used to be applied to the part to be treated. The medium includes at least one treatment area. The treatment areas are separated from each other, and area marks are provided on the surface of the treatment area; the ultrasonic output component is used to output ultrasonic waves; the control method includes: when the beauty instrument body is in a fitted state with the same treatment area, identifying the area mark of the treatment area corresponding to the current position of the beauty instrument body; outputting a start prompt message in response to the area mark recognition result; and outputting ultrasonic waves with an ultrasonic energy emission intensity corresponding to the area mark.

[0004] Based on the description in the above documents, although the physical therapy operations can be implemented for the user in the existing physical therapy process, the physical conditions and health needs of different users vary greatly, so that the acupoints during physical therapy are inaccurate, the physical therapy parts do not correspond, and the physical therapy intensity and strategy cannot be adjusted to adapt to the specific situation changes, resulting in poor physical therapy experience and effect for the user. For this reason, the present invention provides a physical therapy strategy management method for a physical therapy bed based on user physiological data. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a physiotherapy strategy management method for a physiotherapy bed based on user physiological data, which solves the problem that, although physiotherapy operations can be performed on users in the existing physiotherapy process, the physical conditions and health needs of different users vary greatly, so that the acupoints during physiotherapy are inaccurate, the physiotherapy parts do not correspond, and the physiotherapy intensity and strategy cannot be adjusted to adapt to specific changes in the situation, resulting in poor user physiotherapy experience and effects.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a physiotherapy bed physiotherapy strategy management method based on user physiological data, specifically comprising the following steps:

[0007] S1. Before physical therapy, collect the user's personal information. After the user lies on the physical therapy bed device, use various sensors set on the physical therapy bed to collect the user's physiological data in real time, and complete the transmission and storage of the data in the database.

[0008] S2. Implement the screening and extraction operation of the collected data, complete the preliminary strategy adjustment operation to meet the user's needs, use the collected real-time data combined with the threshold evaluation algorithm to determine the optimized adjustment strategy, and complete the re-evaluation of the user's situation within the time threshold after the adjustment strategy response. Repeat the operation to obtain the final physical therapy strategy.

[0009] S3. The server sends the generated physical therapy strategy to the control module of the physical therapy bed, and the control module adjusts the working parameters of the physical therapy bed according to the received strategy to perform personalized physical therapy services.

[0010] Preferably, the screening and extraction operation of the collected data in S2 is as follows:

[0011] A1. Set a screening template, and use the required information category as the extraction condition, and perform extraction operations on both the user's personal information and the collected physiological data of the user.

[0012] A2. Match the text content of the information category with the text content of the category in the collected data, and fill the subsequent result features of the categories with the same corresponding text content into the result column under the category in the screening template.

[0013] A3. After filling all the categories in the screening template in sequence, divide the data according to the requirements generated by the strategy to form a preliminary data set and an optimized data set.

[0014] Preferably, the preliminary strategy adjustment operation to meet the user's needs in S2 is as follows:

[0015] B1. Extract the preliminary data set, set a search window to query the demand features in the preliminary data set, and then determine the data generated by the strategy according to the demand features.

[0016] B2. Set the search window as f(u, v), and introduce the comparison of human body part vocabulary with the selected vocabulary. The expression is:

[0017]

[0018] Where F refers to the content corresponding to the search window, u represents the number of characters recognized by the window, n represents the number of additional characters, v represents that the height of the characters recognized by the window remains unchanged, W represents the vocabulary of human body parts, and when u + n ∈ W, the window needs to be expanded until the content of the characters recognized by the expanded window does not belong to the vocabulary of human body parts. Then, the content obtained by the search is the content obtained by subtracting the last content from the content of the characters recognized by the currently expanded window, and then the search operation is continued to be completed.

[0019] Preferably, the operation of generating data according to the demand characteristics in B1 is as follows:

[0020] b11. Extract the result characteristics corresponding to the content obtained by the search, and combine the parameter information of the current body part of the person with the information of the human spine determined by the sensor on the physiotherapy device;

[0021] b12. Thus, obtain the acupoint information of the current person's required part, and determine the adjustment strategy of the corresponding working physiotherapy component according to the position of the person's acupoint information;

[0022] b13. Then, according to the generated adjustment strategy, perform the position adjustment operation of the working physiotherapy component to achieve the operation of aligning with the corresponding acupoint.

[0023] Preferably, the operation of using the collected real-time data to combine with the threshold evaluation algorithm to determine the optimized adjustment strategy in S2 is as follows:

[0024] C1. Introduce the optimized data set, extract the health condition data of the person and set the parameter threshold of the physiotherapy device, and continue to complete the collection of real-time data;

[0025] C2. Compare and evaluate the subsequent collected data values with the corresponding parameter thresholds, and generate an optimized adjustment strategy according to the results of the comparison and evaluation.

[0026] Preferably, the parameter thresholds set in C1 include:

[0027] Set the physiotherapy time threshold according to the age range:

[0028] In the interval [Z1, Z2], the time threshold is set to T1, in the interval [Z2, Z3], the time threshold is set to T2, in the interval [Z2, Z3], the time threshold is set to T3, and Z1 < Z2 < Z3, while T3 < T1 < T2;

[0029] Set the heart rate threshold for strategy adjustment according to the heart rate value:

[0030] The initially collected heart rate is marked as V, and the corresponding set heart rate threshold is (1.2V);

[0031] Set the change threshold for strategy adjustment according to the facial state:

[0032] Collect facial status data, and collect based on the features of the eyebrows and eyes. That is, the relative distance threshold from the eyebrows in the normal state is L1, and the relative distance threshold between the upper and lower eyelids of the eyes is L2;

[0033] Set the muscle tension threshold for strategy adjustment according to the muscle tension degree of the corresponding part:

[0034] The muscle tension threshold measured without external factors is K.

[0035] Preferably, the operation of comparing and evaluating the C2 based on the subsequent collected data values and the corresponding parameter thresholds is as follows:

[0036] c21. First, determine the physiotherapy time threshold according to the age of the person, and match the corresponding basic physiotherapy strategy;

[0037] c22. Then extract the heart rate data, assign the weight of the heart rate data as g, extract the facial status data, assign the weights of the facial status data as h1 and h2 respectively, and then extract the muscle tension data, assign the weight of the muscle tension data as j;

[0038] c23. By comparing the collected data with the parameter thresholds in turn, judge whether the current data value is greater than the parameter threshold. If one or more of the other thresholds except the physiotherapy time threshold are satisfied, calculate the total added value and judge whether it meets the boundary value of the strategy adjustment, and implement different strategy adjustments according to the interval of the boundary value.

[0039] Preferably, the extraction operation of the facial status data in c22 is as follows:

[0040] After extracting the collected facial status image data, process the image based on grayscale conversion, and determine the corresponding facial features based on the change of the grayscale value;

[0041] Determine the eyebrow features and eye and eyelid features in the facial features. Set reference points based on the relative corner points of the eyebrows, and use the center between the reference points as the origin to establish the X / Y coordinate axes. Establish the X-axis in the horizontal direction from the center, and establish the Y-axis in the vertical direction from the center and perpendicular to the X-axis. The coordinates of the eyebrow reference points are (x1, 0) and (x2, 0) respectively. The coordinates of the intersection points of the upper eyelid and the lower eyelid corresponding to the vertical position of the center of the eye are (x3, y1) and (x3, y2) respectively. Then, calculate the distance between the eyebrows as (x2 - x1), and x1 is negative, and the relative distance between the upper and lower eyelids of the eyes is |y1 + y2|, and both y1 and y2 are negative.

[0042] Preferably, the operation of comparing the data collected in c23 with the parameter thresholds in sequence is as follows:

[0043] Let the heart rate collected in the t-th time period be V t , and when V t ≥1.2V, the current heart rate exceeds the heart rate threshold; otherwise, it does not exceed.

[0044] Let the distance between the eyebrows collected in the t-th time period be (x2 - x1) t , and the relative distance between the upper and lower eyelids of the eyes collected in the t-th time period be |y1 + y2| t , and when (x2 - x1) t ≤L1 and |y1 + y2| t ≤L2, the change in the current facial state data exceeds the threshold; otherwise, it does not exceed.

[0045] Let the muscle tension threshold K collected in the t-th time period be t , and when K t ≥K, the current muscle tension exceeds the muscle tension threshold; otherwise, it does not exceed.

[0046] And when the parameter thresholds meet one or more of them, calculate the total added value. The calculation formula is:

[0047] P = V t ×g + [(x2 - x1) t ×h1 + |y1 + y2| t ×h2] + K t ×j;

[0048] P is the total added value obtained.

[0049] Preferably, the operation of the c23 to implement different strategy adjustments according to the range of the boundary value is as follows:

[0050] Set the boundary values corresponding to the adjustment strategies to Q1, Q2, and Q3 respectively;

[0051] Adjustment strategy one: When Q1 ≤ P < Q2, reduce the physical therapy intensity of the physical therapy device to 50%, and generate a voice broadcast to inform the user;

[0052] Adjustment strategy two: When Q2 ≤ P < Q3, reduce the physical therapy intensity of the physical therapy device to 30%, and generate a voice broadcast to inform the user;

[0053] Adjustment strategy three: When P ≥ Q3, reduce the physical therapy intensity of the physical therapy device to 10%, and generate a voice broadcast to inform the user;

[0054] And generate control operations for the physiotherapy device after implementing the adjustment strategy, re-evaluate the user's condition after the time threshold after the response. If not recovered, turn off the physiotherapy device. If recovered, gradually increase the physiotherapy intensity of the physiotherapy device.

[0055] The present invention provides a physiotherapy bed physiotherapy strategy management method based on user physiological data. Compared with the prior art, it has the following beneficial effects:

[0056] 1. The physiotherapy bed physiotherapy strategy management method based on user physiological data, through implementing the screening and extraction operation of the collected data, completes the preliminary strategy adjustment operation suitable for the user's needs, uses the collected real-time data combined with the threshold evaluation algorithm to determine the optimized adjustment strategy, and completes the re-evaluation of the user's condition within the time threshold after the response based on the adjustment strategy. Through repeated operations, the final physiotherapy strategy is obtained, generating a personalized physiotherapy strategy for the user, and optimizing the physiotherapy strategy according to the user's physiological data during the physiotherapy process, ensuring the safety and effectiveness of the physiotherapy process, and effectively improving the comfort for physiotherapy.

[0057] 2. The physiotherapy bed physiotherapy strategy management method based on user physiological data, by extracting the result features corresponding to the selected content, combines the parameter information of the current part of the person's body with the human spine information determined by the sensors on the physiotherapy device, thereby obtaining the acupoint information about the required part of the current person. According to the position of the person's acupoint information, the adjustment strategy of the corresponding working physiotherapy component is determined, so as to adapt to the body parameter conditions and needs of different users to make preliminary strategy adjustments, realize the correspondence of the processed acupoints and determine the corresponding physiotherapy part, effectively guarantee the physiotherapy effect, and realize precise physiotherapy operations.

[0058] 3. The physiotherapy bed physiotherapy strategy management method based on user physiological data, by comparing the collected data with the parameter thresholds in turn, determines whether the current data value is greater than the parameter threshold. If one or more of the other thresholds except the physiotherapy time threshold are satisfied, calculate the total added value and determine whether it meets the boundary value of the strategy adjustment, and implement different strategy adjustments according to the interval of the boundary value, thereby improving the fault tolerance rate of the determination, realizing the observation of multiple factors, and implementing different levels of strategy adjustments after meeting the boundary value of the strategy adjustment, being able to complete the response and intensity adjustment better and faster, so as to more completely manage the physiotherapy strategy in terms of user physiological data. Brief Description of the Drawings

[0059] Figure 1 is the operation flowchart of the physiotherapy strategy management method of the present invention;

[0060] Figure 2 is the logic flowchart of the physiotherapy strategy management method of the present invention. Detailed Embodiments

[0061] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0062] Please refer to Figure 1 - Figure 2 , the present invention provides three technical solutions:

[0063] Embodiment 1. A method for managing the physiotherapy strategy of a physiotherapy bed based on user physiological data, specifically including the following steps:

[0064] S1. Based on the completion of the collection operation of the user's personal information before physiotherapy, and after the user lies on the physiotherapy bed device, a variety of sensors arranged on the physiotherapy bed are used to collect the user's physiological data in real time, and the data is transmitted and stored in the database.

[0065] S2. Implement the screening and extraction operation of the collected data, complete the preliminary strategy adjustment operation adapted to the user's needs, use the collected real-time data combined with the threshold evaluation algorithm to determine the optimized adjustment strategy, and complete the re-evaluation of the user's situation within the time threshold after the response of the adjustment strategy. Repeat the operation and obtain the final physiotherapy strategy.

[0066] S3. The server sends the generated physiotherapy strategy to the control module of the physiotherapy bed, and the control module adjusts the working parameters of the physiotherapy bed according to the received strategy to execute personalized physiotherapy services.

[0067] Moreover, a variety of sensors are arranged on the physiotherapy bed for real-time collection of the user's physiological data, including a heart rate sensor, a blood pressure sensor, a body temperature sensor, a muscle tension sensor, a camera for collecting facial images, etc. And the above sensors are all existing mature products, and the physiological data collected by the sensors is sent to the cloud server through a wireless transmission module, and the data is analyzed and processed by the cloud server, and the data storage is realized to generate a personalized physiotherapy strategy.

[0068] Among them, by implementing the screening and extraction operation of the collected data, completing the preliminary strategy adjustment operation adapted to the user's needs, using the collected real-time data combined with the threshold evaluation algorithm to determine the optimized adjustment strategy, and completing the re-evaluation of the user's situation within the time threshold after the response of the adjustment strategy. Repeat the operation and obtain the final physiotherapy strategy, generate a personalized physiotherapy strategy for the user, and adapt to the user's physiological data during the physiotherapy process to optimize the physiotherapy strategy, ensuring the safety and effectiveness of the physiotherapy process, and effectively improving the comfort for physiotherapy.

[0069] In the embodiment of the present invention, the screening and extraction operation of the collected data in S2 is as follows:

[0070] A1. Set a screening template, and the screening template uses the required information category as the extraction condition, and perform extraction operations on both the user's personal information and the physiological data collected from the user;

[0071] A2. Match the text content of the information category with the text content of the category in the collected data, and fill the result features of the subsequent results with the same corresponding text content into the result column under the category in the screening template;

[0072] A3. After completing the filling of all categories in the screening template in sequence, divide the data according to the requirements generated by the strategy to form a preliminary data set and an optimized data set.

[0073] In the embodiment of the present invention, the preliminary strategy adjustment operation in S2 to adapt to the user's needs is as follows:

[0074] B1. Extract the preliminary data set, set a search window to query demand features in the preliminary data set, and then determine the data generated by the strategy based on the demand features;

[0075] B2. Set the search window label as f(u, v), and introduce a comparison between the vocabulary of human body parts and the selected vocabulary. The expression is:

[0076]

[0077] Where F refers to the content corresponding to the search window, u represents the number of characters recognized by the window, n represents the number of additional characters, v represents that the height of the number of characters recognized by the window remains unchanged, W represents the vocabulary of human body parts, and when u + n ∈ W, the window needs to continue to expand the number of characters until the content of the number of characters recognized by the expanded window does not belong to the vocabulary of human body parts. Then, the content of the number of characters recognized by the current expanded window minus the end content is the selected content, and then continue to complete the search operation.

[0078] In the embodiment of the present invention, the operation of determining the data generated by the strategy based on the demand features in B1 is as follows:

[0079] b11. Extract the result features corresponding to the selected content, and combine the parameter information of the current body part of the person with the human spine information determined by the sensor on the physiotherapy device;

[0080] b12. Based on this, obtain the acupoint information of the current person's required part, and determine the adjustment strategy of the corresponding working physiotherapy component according to the position of the person's acupoint information;

[0081] b13. Then, according to the generated adjustment strategy, perform the position adjustment operation of the working physiotherapy component to achieve the operation of aligning with the corresponding acupoint.

[0082] Among them, by extracting the result features corresponding to the selected content, combining the parameter information of the current body part of the person with the human spine information determined by the sensors on the physiotherapy device, the acupoint information of the current person's required part is obtained, and the adjustment strategy of the corresponding working physiotherapy component is determined according to the position of the person's acupoint information, so as to adapt to the body parameter conditions and requirements of different users and make a preliminary strategy adjustment, realize the correspondence of acupoints and determine the corresponding physiotherapy part, effectively guarantee the physiotherapy effect, and realize precise physiotherapy operation.

[0083] In the embodiment of the present invention, the operation of determining the optimized adjustment strategy by using the collected real-time data in combination with the threshold evaluation algorithm in S2 is as follows:

[0084] C1. Introduce the optimized data set, extract the health condition data of the person and set the parameter threshold of the physiotherapy device, and continue to collect the real-time data;

[0085] C2. Compare and evaluate the subsequent collected data values with the corresponding parameter thresholds, and generate an optimized adjustment strategy according to the comparison and evaluation results.

[0086] In the embodiment of the present invention, the parameter thresholds set in C1 include:

[0087] Set the physiotherapy time threshold according to the age range:

[0088] In the interval [Z1, Z2], the time threshold is set to T1, in the interval [Z2, Z3], the time threshold is set to T2, in the interval [Z2, Z3], the time threshold is set to T3, and Z1 < Z2 < Z3, while T3 < T1 < T2;

[0089] Set the heart rate threshold for strategy adjustment according to the heart rate value:

[0090] The initially collected heart rate is marked as V, and the corresponding set heart rate threshold is (1.2V);

[0091] Set the change threshold for strategy adjustment according to the facial state:

[0092] Collect the facial state data, and collect based on the features at the eyebrows and eyes, that is, the relative distance threshold at the eyebrows in the normal state is L1, and the relative distance threshold between the upper and lower eyelids of the eyes is L2;

[0093] Set the muscle tension threshold for strategy adjustment according to the muscle tension degree of the corresponding part:

[0094] The measured muscle tension threshold without external factors is K.

[0095] In the embodiment of the present invention, the operation of C2 for comparing and evaluating the subsequent collected data values with the corresponding parameter thresholds is as follows:

[0096] c21. First, determine the physical therapy time threshold according to the age of the person, and match the corresponding basic physical therapy strategy;

[0097] c22. Then, extract the heart rate data, assign a weight of g to the heart rate data, extract the facial state data, assign weights of h1 and h2 to the facial state data respectively, and then extract the muscle tension data, assign a weight of j to the muscle tension data;

[0098] c23. By comparing the collected data with the parameter thresholds in sequence, determine whether the current data value is greater than the parameter threshold. If one or more of the other thresholds except the physical therapy time threshold are satisfied, calculate the total additional value and determine whether it meets the boundary value for strategy adjustment, and implement different strategy adjustments according to the range of the boundary value.

[0099] Among them, by comparing the collected data with the parameter thresholds in sequence, determine whether the current data value is greater than the parameter threshold. If one or more of the other thresholds except the physical therapy time threshold are satisfied, calculate the total additional value and determine whether it meets the boundary value for strategy adjustment, and implement different strategy adjustments according to the range of the boundary value. In this way, the error tolerance rate of the determination is improved, the observation of multiple factors is realized, different levels of strategy adjustments are realized after meeting the boundary value for strategy adjustment, and the response and intensity adjustments can be completed better and faster, so as to realize more complete management of the physical therapy strategy in terms of the user's physiological data.

[0100] In the embodiment of the present invention, the operation of extracting the facial state data in c22 is as follows:

[0101] After extracting the collected facial state image data, process the image according to grayscale, and determine the corresponding facial features based on the change of grayscale values;

[0102] Determine the eyebrow features and eye and eyelid features in the facial features. Set reference points at the relative corner points of the eyebrows, and use the center between the reference points as the origin to establish the X / Y coordinate axes. Establish the X-axis in the horizontal direction from the center, and establish the Y-axis in the vertical direction from the center and perpendicular to the X-axis. The coordinates of the eyebrow reference points are (x1, 0) and (x2, 0) respectively. The coordinates of the upper eyelid intersection and the lower eyelid intersection corresponding to the vertical position of the center of the eye are (x3, y1) and (x3, y2) respectively. Then, calculate the distance between the eyebrows as (x2 - x1), where x1 is negative, and the relative distance between the upper and lower eyelids of the eye |y1 + y2|, where y1 and y2 are both negative.

[0103] In the embodiment of the present invention, the operation of comparing the data collected in c23 with the parameter thresholds in sequence is as follows: Let the heart rate collected in the t-th time period be V t , and when V t ≥1.2V, the current heart rate exceeds the heart rate threshold, otherwise it does not exceed;

[0104] Let the distance at the eyebrows collected in the t-th time period be (x2 - x1) t , and the relative distance between the upper and lower eyelids of the eyes collected in the t-th time period be |y1 + y2| t , and when (x2 - x1) t ≤L1 and |y1 + y2| t ≤L2, the change in the current facial state data exceeds the threshold, otherwise it does not exceed;

[0105] Let the muscle tension threshold K collected in the t-th time period be t , and when K t ≥K, the current muscle tension exceeds the muscle tension threshold, otherwise it does not exceed;

[0106] And when the parameter thresholds meet one or more of them, calculate the total added value. The calculation formula is:

[0107] P = V t ×g + [(x2 - x1) t ×h1 + |y1 + y2| t ×h2] + K t ×j;

[0108] P is the obtained total added value.

[0109] In the embodiment of the present invention, the operation of c23 implementing different strategy adjustments according to the range of the boundary value is as follows:

[0110] Set the boundary values corresponding to the adjustment strategies to Q1, Q2, and Q3 respectively;

[0111] Adjustment strategy one: When Q1 ≤ P < Q2, reduce the physical therapy intensity of the physical therapy device to 50% and generate a voice broadcast to inform the user;

[0112] Adjustment strategy two: When Q2 ≤ P < Q3, reduce the physical therapy intensity of the physical therapy device to 30% and generate a voice broadcast to inform the user;

[0113] Adjustment strategy three: When P ≥ Q3, reduce the physical therapy intensity of the physical therapy device to 10% and generate a voice broadcast to inform the user;

[0114] And after generating the adjustment strategy, the control operation of the physiotherapy device is realized. After the time threshold of the response, the user's condition is re-evaluated. If not recovered, the physiotherapy device is turned off. If recovered, the physiotherapy intensity of the physiotherapy device is gradually increased.

[0115] Embodiment 2: The difference compared with Embodiment 1 is that the control of the physiotherapy bed device is carried out through the existing physiotherapy strategy management method and the physiotherapy strategy management method of the present invention. 100 users are invited to perform the experience operation, and the recorder records the most intuitive feelings of the users during the experience process, and the recorded situation is extracted as shown in Table 1:

[0116] Table 1 Evaluation Record Form

[0117] Average star rating (highest is five stars) Average duration of pain Existing physical therapy strategy management method 3.9 5 min Physical therapy strategy management method of the present invention 4.7 30s

[0118] In summary, after the application control operation is carried out through the physiotherapy strategy management method of the present invention, the evaluation feedback by users is higher, and in the actual process, the physiotherapy device can more quickly realize the adaptive adjustment of the physiotherapy strategy for users. Therefore, the actual application operation can be better realized.

[0119] Embodiment 3: The difference compared with Embodiment 1 and Embodiment 2 is that the following uses a specific embodiment to illustrate the method of the present invention, but is not limited to this embodiment:

[0120] User A, male, 50 years old, with a history of hypertension. User A lies on the physiotherapy bed to start physiotherapy. The sensor module collects User A's heart rate of 85 beats per minute, blood pressure of 150 / 90 mmHg, body temperature of 36.5 °C, and normal muscle tension. The server analyzes and evaluates based on these data and User A's personal information, and judges that User A's cardiovascular health condition is poor. The server selects low-intensity massage and hot compress modes from the physiotherapy strategy database, sets the physiotherapy intensity to 30%, and sets the physiotherapy time to 20 minutes. The control module adjusts the working parameters of the physiotherapy bed according to the strategy sent by the server and starts to perform physiotherapy for User A. During the physiotherapy process, the sensor module real-time monitors User A's physiological data. If it is found that User A's blood pressure rises to 160 / 100 mmHg, the server will immediately adjust the physiotherapy strategy, reduce the massage intensity to 20%, and remind User A to pay attention to rest.

[0121] At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0122] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0123] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for managing the physiotherapy strategy of a physiotherapy bed based on user physiological data, characterized in that: Specifically, it includes the following steps: S1. Based on the collection operation of the user's personal information before physiotherapy, and after the user lies on the physiotherapy bed device, a variety of sensors set on the physiotherapy bed are used to collect the user's physiological data in real time, and complete the transmission and storage of the data in the database; S2. Implement the screening and extraction operation of the collected data, complete the preliminary strategy adjustment operation adapted to the user's needs, use the collected real-time data combined with the threshold evaluation algorithm to determine the optimized adjustment strategy, and complete the re-evaluation of the user's situation within the time threshold after the response of the adjustment strategy, and perform the reciprocating operation to obtain the final physiotherapy strategy; S3. The server sends the generated physiotherapy strategy to the control module of the physiotherapy bed, and the control module adjusts the working parameters of the physiotherapy bed according to the received strategy to perform personalized physiotherapy services.

2. The physical therapy bed physical therapy strategy management method based on user physiological data according to claim 1, wherein: The screening and extraction operation of the collected data in S2 is as follows: A1. Set a screening template, and the screening template uses the required information category as the extraction condition, and perform extraction operations on both the user's personal information and the collected physiological data of the user; A2. Match the text content of the information category with the text content of the category in the collected data, and fill the subsequent result features of the category with the same corresponding text content into the result column under the category in the screening template; A3. After filling all categories in the screening template in sequence, divide the data according to the requirements generated by the strategy to form a preliminary data set and an optimized data set.

3. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 2, characterized in that: The preliminary strategy adjustment operation adapted to the user's needs in S2 is as follows: B1. Extract the preliminary data set, set a search window to query demand features in the preliminary data set, and then determine the data generated by the strategy based on the demand features; B2. Set the search window label as f(u, v), and introduce a comparison between the human body part vocabulary and the selected vocabulary. The expression is: Where F refers to the corresponding content under the search window, u represents the number of characters recognized by the window, n represents the number of added characters, v represents that the height of the number of characters recognized by the window remains unchanged, W represents the human body part vocabulary, and when u + n ∈ W, the window number of characters needs to be continuously expanded until the content of the number of characters recognized by the expanded window does not belong to the human body part vocabulary. Then, the content of the number of characters recognized by the current expanded window minus the end content is the selected content, and then continue to complete the search operation.

4. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 3, characterized in that: The operation of determining the data generated by the strategy based on the demand features in B1 is as follows: b11. Extract the result features corresponding to the selected content, and combine the parameter information of the current part of the person's body with the human spine information determined by the sensors on the physiotherapy device; b12. Thus, obtain the acupoint information of the current person's required part, and determine the adjustment strategy of the corresponding working physiotherapy component according to the position of the person's acupoint information; b13. Then, according to the generated adjustment strategy, implement the position adjustment operation of the working physiotherapy component to achieve the operation of aligning with the corresponding acupoint.

5. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 2, characterized in that: The operation of using the collected real-time data combined with the threshold evaluation algorithm to determine the optimized adjustment strategy in S2 is as follows: C1. Introduce the optimized data set, extract the health condition data of the person and set the parameter threshold of the physiotherapy device, and continue to complete the collection of real-time data; C2. Compare and evaluate based on the data values collected subsequently and the corresponding parameter thresholds, and generate an optimized adjustment strategy according to the results of the comparison and evaluation.

6. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 5, characterized in that: The parameter thresholds set in C1 include: Set the physiotherapy time threshold according to the age range: In the interval [Z1, Z2], the time threshold is set as T1; in the interval [Z2, Z3], the time threshold is set as T2; in the interval [Z2, Z3], the time threshold is set as T3, and Z1 < Z2 < Z3, while T3 < T1 < T2; Set the heart rate threshold for strategy adjustment according to the heart rate value: The initially collected heart rate is marked as V, and the corresponding set heart rate threshold is (1.2V); Set the change threshold for strategy adjustment according to the facial state: Collect the facial state data. Based on the characteristics collected at the eyebrows and eyes, that is, the relative distance threshold at the eyebrows in the normal state is L1, and the relative distance threshold between the upper and lower eyelids of the eyes is L2; Set the muscle tension threshold for strategy adjustment according to the degree of muscle tension in the corresponding part: The muscle tension threshold measured without external factors is K.

7. The physical therapy bed physical therapy strategy management method based on user physiological data according to claim 6, characterized in that: The operation of comparing and evaluating the data values collected subsequently and the corresponding parameter thresholds in C2 is as follows: c21. First, determine the physiotherapy time threshold according to the age of the person, and match the corresponding basic physiotherapy strategy; c22. Then extract the heart rate data, and assign a weight value g to the heart rate data. Extract the facial state data, and assign weight values h1 and h2 to the facial state data respectively. Then extract the muscle tension data, and assign a weight value j to the muscle tension data; c23. By comparing the collected data with the parameter thresholds in sequence, determine whether the current data value is greater than the parameter threshold. If one or more of the other thresholds except the physiotherapy time threshold are satisfied, calculate the total additional value and determine whether it meets the boundary value for strategy adjustment, and implement different strategy adjustments according to the interval of the boundary value.

8. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 7, characterized in that: The operation of extracting the facial state data in c22 is as follows: After extracting the collected facial state image data, process the image based on grayscale, and determine the corresponding facial features based on the change of grayscale values; Determine the eyebrow features and eye and eyelid features in the facial features. Set reference points at the relative corner points of the eyebrows, and use the center between the reference points as the origin to establish the X / Y coordinate axes. Establish the X-axis in the horizontal direction from the center, and establish the Y-axis in the vertical direction from the center and perpendicular to the X-axis. The coordinates of the eyebrow reference points are (x1, 0) and (x2, 0) respectively. The coordinates of the intersection points of the upper eyelid and the lower eyelid at the vertical position of the center of the eye are (x3, y1) and (x3, y2) respectively. Then calculate the distance at the eyebrows as (x2 - x1), and x1 is negative, and the relative distance between the upper and lower eyelids of the eyes is |y1 + y2|, and both y1 and y2 are negative.

9. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 8, characterized in that: The operation of comparing the collected data with the parameter thresholds in sequence in c23 is as follows: Let the heart rate collected in the t-th time period be V t , and when V t ≥ 1.2V, the current heart rate exceeds the heart rate threshold, otherwise it does not exceed; Let the distance at the eyebrows collected in the t-th time period be (x2 - x1) t , and the relative distance between the upper and lower eyelids of the eyes collected in the t-th time period be |y1 + y2| t , and when (x2 - x1) t ≤ L1 and |y1 + y2| t ≤ L2, the change in the current facial state data exceeds the threshold, otherwise it does not exceed; Let the muscle tension threshold K collected corresponding to the t-th time period t , and when K t ≥K, the current muscle tension exceeds the muscle tension threshold, otherwise it does not exceed; And when one or more of the parameter thresholds are satisfied, calculate the total additional value. The calculation formula is: P = V t × g + [(x2 - x1) t × h1 + |y1 + y2| t × h2] + K t × j; P is the obtained total additional value.

10. The physiotherapy bed physiotherapy strategy management method based on user physiological data according to claim 9, characterized in that: The operation of implementing different strategy adjustments according to the interval of the boundary value in c23 is as follows: Set the threshold values corresponding to the adjustment strategies as Q1, Q2, and Q3 respectively; Adjustment strategy one: When Q1 ≤ P < Q2, reduce the physical therapy intensity of the physical therapy device to 50%, and generate a voice broadcast to inform the user; Adjustment strategy two: When Q2 ≤ P < Q3, reduce the physical therapy intensity of the physical therapy device to 30%, and generate a voice broadcast to inform the user; Adjustment strategy three: When P ≥ Q3, reduce the physical therapy intensity of the physical therapy device to 10%, and generate a voice broadcast to inform the user; And generate the control operation of the physical therapy device after the adjustment strategy, and re-evaluate the user's condition after the time threshold after the response. If it does not recover, turn off the physical therapy device. If it recovers, gradually increase the physical therapy intensity of the physical therapy device.

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