Lactic acid metabolism data analyzing and processing method and metabolic balancing instrument

Abstract

The invention provides a lactic acid metabolism data analysis and processing method and a metabolic balancing instrument, and belongs to the technical field of data processing, and the method specifically comprises the steps that a data acquisition module is responsible for acquiring motion data of a target person, and a massage mode matching module is responsible for determining matched massage modes of different parts of the target person according to the motion data of the target person; and the massage processing module is responsible for performing massage processing on different parts of the target person by using the matched massage mode, and determining whether an adjustment processing strategy of an abnormal processing scheme of the massage device of the target person is determined by using the pressure feedback data of the massage device, so that the lactic acid metabolism processing efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a lactate metabolism data analysis and processing method and a metabolic balance instrument. Background Art

[0002] The body will inevitably produce lactic acid after exercise. If it is not treated in time, it will inevitably cause damage to the body's muscles. Therefore, instruments are used to massage the muscles of the human body after exercise to promote balanced metabolism of lactic acid. In order to use the massage data for analysis and processing to determine the effect of the massage treatment, the existing technical solution CN202411930439.4 "A method for evaluating the massage effect after burn skin surgery" provides a similar technical solution.

[0003] During the massage treatment, the user's posture is not fixed, so the user's massage area may change. Therefore, if the abnormal handling plan of the metabolic meter cannot be adjusted according to the frequency of changes in the user's massage area, such as outputting an alarm message or stopping the massage treatment, the user's massage area may be damaged.

[0004] When performing massage treatment, existing technical solutions often require the output of matching massage methods based on the motion data of the target person. However, in the actual work process, the motion data of the target person is often incomplete. Therefore, how to determine the matching massage method when there is a deviation in the motion data becomes a technical problem that needs to be solved urgently.

[0005] In response to the above technical problems, the present application specifically provides a lactate metabolism data analysis and processing method and a metabolic balance instrument. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In the first aspect, the present invention adopts the following technical solution: The present application provides a method for analyzing and processing lactate metabolism data, which specifically includes: S1 determines the target person's exercise mode based on the analysis result of the target person's exercise data, and uses the massage mode corresponding to the exercise mode as the corresponding massage mode; S2: when it is determined that the completeness of the target person's motion data does not meet the requirements according to the matching of the data requirements of the corresponding massage method and the motion data of the target person, a matching massage method for the target person is determined according to the matching of the data requirements of different corresponding massage methods and the motion data and the historical massage processing results of different corresponding massage methods; S3 utilizes the matching massage method to perform massage treatment on the corresponding parts of the target person, and utilizes the pressure feedback data of the massage device during the massage treatment process to determine that there is no deviation in the massage parts of the massage device, and determines the adjustment processing strategy of the abnormal handling plan of the massage device of the target person based on the analysis results of the pressure feedback data of the massage device at different times.

[0007] A further technical solution is that the sports include running, swimming, walking, football, basketball and badminton.

[0008] A further technical solution is that the corresponding massage method is determined according to a one-to-one correspondence result between the massage method and the exercise method.

[0009] A further technical solution is that the corresponding massage method includes an adjustment method for massage treatment frequency and massage pressure.

[0010] A further technical solution is that the data requirements include exercise duration, historical exercise moments and corresponding exercise duration, heart rate change data during exercise, and exercise speed.

[0011] A further technical solution is that the method for determining the adjustment processing strategy of the abnormal processing scheme of the massage device of the target person is: Determine the change of the pressure feedback data of the massage device at different times based on the analysis result of the pressure feedback data of the massage device at different times; Determine a change curve of the pressure feedback data of the massage device based on the change of the pressure data of the massage device at different times; Based on the deviation between the variation curve and the preset variation curve, the curve deviation amount between the variation curve and the preset variation curve is determined, and based on the curve deviation amount, an adjustment processing strategy for the abnormal processing scheme of the massage device for the target person is determined.

[0012] A further technical solution is that the preset variation curve is determined according to a preset variation curve corresponding to the matching massage method, and specifically determined according to an average value of the variation curve of the matching massage method on different massage objects.

[0013] A further technical solution is that the curve deviation is determined according to the deviation between the change curve and an image of a preset change curve.

[0014] A further technical solution is to determine an adjustment strategy for an abnormality handling solution of the massage device of the target person based on the curve deviation, specifically including: When the curve deviation is greater than a preset deviation threshold, the massage device is controlled to stop working; When the curve deviation is not greater than a preset deviation threshold, or when the curve deviation is not within a preset curve deviation interval, the massage device is controlled to output an alarm signal to remind the target person to keep the massage position stable; When the curve deviation is within the preset curve deviation range, the lactate metabolism instrument continues to be controlled to work according to the matching massage mode.

[0015] In a second aspect, a lactate metabolism balance instrument adopts the above-mentioned lactate metabolism data analysis and processing method, specifically comprising: Data acquisition module, massage pattern matching module, massage processing module; The data acquisition module is responsible for acquiring the movement data of the target person; The massage mode matching module is responsible for determining matching massage modes for different parts of the target person using the motion data of the target person; The massage processing module is responsible for performing massage treatment on different parts of the target person using the matching massage mode, and determining whether to adjust the processing strategy of the abnormal processing scheme of the massage device of the target person using the pressure feedback data of the massage device.

[0016] A further technical solution is that the exercise data includes the historical exercise records, exercise methods and exercise amounts of the target person.

[0017] A further technical solution is that the motion data is determined by input data of the target person or a reading result of monitoring data of a motion monitoring device.

[0018] A further technical solution is to use the pressure feedback data of the massage device to determine the adjustment strategy of the abnormality handling scheme of the massage device of the target person, which specifically includes: Determine the pressure feedback amount at different times based on the pressure feedback data of the massage device at different times; Determine the deviation time according to the deviation between the pressure feedback amount and the preset pressure feedback amount; An adjustment processing strategy for an abnormality processing scheme of the massage device of the target person is determined based on the number of the deviation moments.

[0019] A further technical solution is to determine an adjustment strategy for the abnormality handling scheme of the massage device of the target person based on the number of the deviation moments, specifically including: When the number of the deviation moments is greater than a preset deviation moment number threshold, the massage device is controlled to stop working; When the number of the deviation moments is greater than a preset deviation moment number threshold, or when the number of the deviation moments is not within a preset deviation moment number interval, the massage device is controlled to output an alarm signal to remind the target person to keep the massage position stable; When the number of the deviation moments is within a preset deviation moment number interval, the lactic acid metabolism instrument continues to be controlled to work according to the matching massage mode.

[0020] The beneficial effects of the present invention are: In the present invention, the motion data of the target person is utilized to determine matching massage modes for different parts of the target person, thereby avoiding the technical problem of adopting a fixed massage mode for all persons and all types of exercise, resulting in lactic acid metabolism of exercise fat muscles not meeting the requirements. The targeted massage mode is determined based on the motion data of the target person, thereby improving the effect of the massage treatment.

[0021] In the present invention, the pressure feedback data of the massage device is used to determine whether to adjust the abnormal handling method, thereby realizing accurate judgment of whether the current matching massage mode meets the requirements based on the pressure feedback of the massage device, avoiding the technical problem of inaccurate matching massage mode due to inaccurate motion data, realizing dynamic adjustment of the matching massage model, and at the same time ensuring the effectiveness of the massage processing results, thereby promoting lactic acid metabolism after exercise.

[0022] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings; Figure 1 is a flow chart of a method for analyzing and processing lactate metabolism data; Figure 2 It is a flow chart to determine that the completeness of the target person's motion data does not meet the requirements; Figure 3 is a flow chart of a method for determining a matching massage method for a target person; Figure 4 is a flow chart of a method for determining an adjustment processing strategy for an abnormality processing scheme of a massage device for a target person; Figure 5 It is a framework diagram of a metabolic balance instrument. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0026] The present invention recognizes changes in the user's massage position by feedbacking pressure data during the massage process, and controls the massage device to stop working, output reminder information, or continue the massage process according to the changes in the user's massage position, thereby ensuring the reliability of lactic acid metabolism processing after exercise.

[0027] Example 1 Figure 1 As shown, the present application provides a lactate metabolism data analysis and processing method, which specifically includes: S1 determines the target person's exercise mode based on the analysis result of the target person's exercise data, and uses the massage mode corresponding to the exercise mode as the corresponding massage mode; S2: when it is determined that the completeness of the target person's motion data does not meet the requirements according to the matching of the data requirements of the corresponding massage method and the motion data of the target person, a matching massage method for the target person is determined according to the matching of the data requirements of different corresponding massage methods and the motion data and the historical massage processing results of different corresponding massage methods; Optionally, when it is determined according to the data requirements of the corresponding massage methods that the motion data of the target person cannot meet the data requirements of different corresponding massage methods, it is determined that the completeness of the motion data of the target person does not meet the requirements.

[0028] Specifically, the matching quantity ratio is determined by utilizing the quantity ratio of the matching data requirements of the motion data, and the matching massage method is determined based on the product of the matching quantity ratio and the massage processing success rate of the corresponding massage method. Specifically, the corresponding massage method with the largest product is used as the matching massage method.

[0029] S3 utilizes the matching massage method to perform massage treatment on the corresponding parts of the target person, and utilizes the pressure feedback data of the massage device during the massage treatment process to determine that there is no deviation in the massage parts of the massage device, and determines the adjustment processing strategy of the abnormal handling plan of the massage device of the target person based on the analysis results of the pressure feedback data of the massage device at different times.

[0030] When the proportion of the number of moments when the pressure feedback data is not within the preset pressure range is less than 0.1, it is determined that there is no deviation in the massage part of the massage device.

[0031] The analysis results of the pressure feedback data at different moments are used to determine the variation between the pressure feedback data at different moments and adjacent moments. When the proportion of moments when the variation does not meet the preset variation requirement is greater than 0.5, it is determined that the matching massage method for the target person needs to be adjusted.

[0032] Furthermore, the sports include running, swimming, walking, football, basketball and badminton.

[0033] Specifically, the corresponding massage method is determined according to a one-to-one correspondence result between the massage method and the exercise method.

[0034] It should be noted that the corresponding massage method includes the adjustment method of the massage treatment frequency and the massage pressure.

[0035] Furthermore, the data requirements include exercise duration, historical exercise moments and corresponding exercise duration, heart rate change data during exercise, and exercise speed.

[0036] It is understandable that if Figure 2 As shown, it is determined that the completeness of the target person's motion data does not meet the requirements, specifically including: Based on the data requirements of different corresponding massage methods, determining the deviation between the movement data of the target person and the data requirements of different dimensions; Determine the deviation data requirements in the data requirements of different dimensions by using the deviation situation; Whether the completeness of the movement data of the target person meets the requirement is determined according to the number of deviation data required for different corresponding massage methods.

[0037] Further, when the number of deviation data required for different corresponding massage methods is greater than the preset required number, it is determined that the completeness of the motion data of the target person does not meet the requirement.

[0038] In another embodiment, determining that the completeness of the motion data of the target person does not meet the requirement specifically includes: Based on the data requirements of different corresponding massage methods, determining the deviation between the movement data of the target person and the data requirements of different dimensions; Determine the deviation data requirements in the data requirements of different dimensions by using the deviation situation; The deviation coefficient between the target person and different corresponding massage methods is determined by the ratio of the number of deviation data requirements of different corresponding massage methods, and whether the completeness of the motion data of the target person meets the requirements is determined based on the deviation coefficient.

[0039] Further, when the deviation coefficients of the target person and different corresponding massage methods do not meet the requirements, it is determined that the completeness of the motion data of the target person does not meet the requirements.

[0040] Optionally, determining that the completeness of the movement data of the target person does not meet the requirement specifically includes: Based on the analysis result of the motion data of the target person, the motion data of the target person under the data requirements of different dimensions are determined, and based on the distribution of the motion data under the data requirements of different dimensions, the complete coefficient of the motion data under the data requirements of different dimensions is determined, and when there is no data requirement whose complete coefficient meets the requirements, it is determined that the completeness of the motion data of the target person does not meet the requirements; When there are complete coefficients that meet the required data requirements: When the integrity coefficients of the motion data under different data requirements all meet the requirements, it is determined that the integrity of the motion data of the target person meets the requirements; When there are complete coefficients that do not meet the required data requirements: Based on the integrity coefficients of the motion data under different data requirements, an average value of the integrity coefficients of the motion data under different data requirements is determined; when the average value of the integrity coefficients of the motion data under different data requirements does not meet the requirements, it is determined that the integrity of the motion data of the target person does not meet the requirements; When the average value of the complete coefficients of the motion data under different data requirements meets the requirements: Based on the data requirements of different corresponding massage methods, the deviation between the motion data of the target person and the data requirements of different dimensions is determined, and the deviation data requirements in the data requirements of different dimensions are determined by using the deviation. When there is no corresponding massage method whose number of deviation data requirements meets the requirements, it is determined that the completeness of the motion data of the target person does not meet the requirements; When the number of deviation data requirements meets the corresponding massage method required: The corresponding massage methods that meet the number of deviation data requirements are used as screening massage methods, and the completeness coefficients of the motion data under different data requirements are used as the basis, and combined with the proportion of the matching number with the data requirements of the screening massage methods, the completeness matching coefficients with different screening massage methods are determined. When the completeness matching coefficients with different screening massage methods all meet the requirements, it is determined that the completeness of the motion data of the target person does not meet the requirements; When there are screening massage methods whose complete matching coefficients do not meet the requirements: Whether the completeness of the movement data of the target person meets the requirements is determined according to the maximum value of the complete matching coefficient of the screened massage methods.

[0041] Furthermore, the matching data requirement is a data requirement in which the ratio of the number of matching information items of the data requirement and the motion data is within a preset ratio range.

[0042] Specifically, when the maximum value of the complete matching coefficient of the screened massage methods meets the requirement, it is determined that the completeness of the motion data of the target person meets the requirement.

[0043] It should be noted that when the completeness of the operating data of the target person meets the requirements, the screened massage method with the largest complete matching coefficient is used as the matching massage method for the target person.

[0044] Optionally, the historical massage processing results of the corresponding massage method include the historical massage processing times and the massage processing success rate of the corresponding massage method.

[0045] Furthermore, the massage treatment success rate is determined based on pressure feedback data of the massage device under the matching massage mode, and specifically, based on a proportion of the pressure feedback data in the historical massage treatment times within a preset pressure range.

[0046] Specifically, Figure 3 As shown, the method for determining the matching massage method for the target person is: The matching conditions between the motion data and the data requirements of different dimensions are determined based on the matching conditions between the data requirements of different corresponding massage modes and the motion data, and the matching coefficients with the data requirements of different dimensions are determined based on the matching conditions with the data requirements of different dimensions; Determine the massage treatment success rates of the different corresponding massage methods based on the historical massage treatment results of the different corresponding massage methods; The corrected matching coefficients of different corresponding massage methods are determined by multiplying the matching coefficient and the massage processing success rate, and the matching massage method for the target person is determined using the corrected matching coefficient.

[0047] Furthermore, the matching coefficient is determined according to the ratio of the number of information items matching the motion data and the data requirement.

[0048] Optionally, the matching massage method for the target person is a massage method with a maximum corrected matching coefficient.

[0049] In another embodiment, the method for determining the matching massage method for the target person is: Determine the matching situation of the motion data with the data requirements of different dimensions according to the matching situation of the data requirements of different corresponding massage methods and the motion data, determine the matching coefficient with the data requirements of different dimensions according to the matching situation with the data requirements of different dimensions, and determine the selected massage methods in the corresponding massage methods by using the average value of the matching coefficients; Determine the number of successful massage treatments of different screening massage methods based on historical massage treatment results of different screening massage methods; The matching massage method for the target person is determined according to the number of successful massage processes.

[0050] Furthermore, the massage methods are screened to be corresponding massage methods whose average values ​​of matching coefficients meet the requirements.

[0051] Optionally, the method for determining the matching massage method for the target person is: S21, determining the matching conditions of the motion data with the data requirements of different dimensions based on the matching conditions of the data requirements of different corresponding massage methods and the motion data, determining the matching coefficients with the data requirements of different dimensions based on the matching conditions with the data requirements of different dimensions, and determining the massage method matching coefficients with the different corresponding massage methods using the average value of the matching coefficients; Optionally, the above step S21 includes the following contents: S211 determines the matching of the motion data with the data requirements of different dimensions based on the matching of the data requirements of different corresponding massage methods with the motion data, and determines the matching coefficient with the data requirements of different dimensions based on the matching of the data requirements of different dimensions. When the matching coefficient of the corresponding massage method does not meet the data requirements, the process proceeds to step S212; when the matching coefficient of the corresponding massage method does not meet the data requirements, the process proceeds to step S213; S212: When the matching coefficient does not meet the required number of data, it is determined that the corresponding massage method does not belong to the matching massage method; when the matching coefficient does not meet the required number of data, it is transferred to step S213; S213 uses the average value of the matching coefficient to determine the massage mode matching coefficients with different corresponding massage modes. When the massage mode matching coefficients with the corresponding massage mode do not meet the requirements, it is determined that the corresponding massage mode does not belong to the matching massage mode. When the massage mode matching coefficients with the corresponding massage mode meet the requirements, proceed to step S22.

[0052] S22 determines the number of massage processing successes of the different corresponding massage methods according to the historical massage processing results of the different corresponding massage methods, and determines the adaptation coefficients of the different corresponding massage methods in combination with the similarity coefficients of the motion data of the massage object and the target person corresponding to the different massage processing successes and the massage processing success rates; Optionally, the above step S22 includes the following contents: S221 determines the number of successful massage treatments of different corresponding massage methods according to the historical massage treatment results of different corresponding massage methods. When the number of successful massage treatments of the corresponding massage methods does not meet the requirement, it is determined that the corresponding massage method does not belong to the matching massage method. When the number of successful massage treatments of the corresponding massage methods meets the requirement, it proceeds to step S222; S222: determining the average value of the similarity coefficients of different massage treatment success times based on the similarity coefficients of the massage object corresponding to the massage treatment success times and the motion data of the target person; when the average value of the similarity coefficients of different massage treatment success times does not meet the requirement, determining that the corresponding massage method does not belong to the matching massage method; when the average value of the similarity coefficients of different massage treatment success times meets the requirement, proceeding to step S223; S223 determines the adaptation coefficients of different corresponding massage methods by using the number of successful massage treatments of different corresponding massage methods, the similarity coefficients of the motion data of the massage objects corresponding to different successful massage treatments and the target person, and the massage treatment success rates. When the adaptation coefficient of the corresponding massage method does not meet the requirements, it is determined that the corresponding massage method does not belong to the matching massage method. When the adaptation coefficient of the corresponding massage method meets the requirements, proceed to step S23.

[0053] S23 determines a corrected matching coefficient by an average value of the massage method matching coefficient and the adaptation coefficient, and uses the corrected matching coefficient to determine a matching massage method for the target person.

[0054] Further, determining that there is no deviation in the massage part of the massage device specifically includes: Determine the pressure feedback amount at different times during the massage process based on the pressure feedback data of the massage device during the massage process; Determining the deviation feedback moment in the moment according to the deviation between the pressure feedback amount at different moments and the preset pressure feedback range; The number of the deviation feedback moments is used to determine whether there is a deviation in the massage part of the massage device.

[0055] Specifically, when the number of the deviation feedback moments is greater than the preset number of moments, it is determined that there is a deviation in the massage part of the massage device.

[0056] It can be understood that when there is a deviation in the massage part of the massage device, the massage part of the massage device is adjusted until there is no deviation in the massage part of the massage device.

[0057] It should be noted that if Figure 4 As shown, the method for determining the adjustment processing strategy of the abnormal processing scheme of the massage device of the target person is: Determine the change of the pressure feedback data of the massage device at different times based on the analysis result of the pressure feedback data of the massage device at different times; Determine a change curve of the pressure feedback data of the massage device based on the change of the pressure data of the massage device at different times; Based on the deviation between the variation curve and the preset variation curve, the curve deviation amount between the variation curve and the preset variation curve is determined, and based on the curve deviation amount, an adjustment processing strategy for the abnormal processing scheme of the massage device for the target person is determined.

[0058] Furthermore, the preset variation curve is determined according to a preset variation curve corresponding to the matching massage method, and specifically determined according to an average value of variation curves of the matching massage method on different massage objects.

[0059] Furthermore, the curve deviation is determined according to a deviation between the change curve and an image of a preset change curve.

[0060] It can be understood that when the curve deviation is greater than a preset deviation threshold, it is determined that the matching massage method for the target person needs to be adjusted.

[0061] In another embodiment, the method for determining the adjustment processing strategy of the abnormal processing scheme of the massage device of the target person is: Based on the analysis results of the pressure feedback data of the massage device at different times, the change of the pressure feedback data of the massage device between different times is determined, and the change amount between different times and adjacent times is determined based on the change; When it is determined that there is no moment when the change amount is not within the preset change amount interval based on the preset change amount intervals corresponding to different moments, the lactate metabolism instrument continues to be controlled to work according to the matching massage mode; When there is a moment when the change is not within the preset change range: The moment when the change amount is not within the preset change amount interval is regarded as an abnormal change moment, and when the number of the abnormal change moments does not meet the requirement, the massage device is controlled to stop working; When the number of abnormal change moments meets the requirement: Determine the variation deviation coefficients of different abnormal variation moments based on the deviations between the variation amounts of different abnormal variation moments and the adjacent endpoints of the preset variation amount interval, and control the massage device to stop working when the number of abnormal variation moments at which the variation deviation coefficients are greater than the preset deviation coefficient threshold does not meet the requirement; When the number of abnormal change moments whose change deviation coefficient is greater than the preset deviation coefficient threshold meets the requirement: Based on the variation deviation coefficients at different abnormal variation moments, a comprehensive variation deviation amount is determined, and when the comprehensive variation deviation amount does not meet the requirement, the massage device is controlled to stop working; When the comprehensive variation deviation meets the requirements: Based on the change of pressure data of the massage device at different times, the change curve of the pressure feedback data of the massage device is determined, and based on the deviation of the change curve from the preset change curve, the curve deviation amount between the change curve and the preset change curve is determined. Based on the curve deviation amount, the adjustment processing strategy of the abnormal processing scheme of the massage device for the target person is determined.

[0062] Furthermore, based on the curve deviation, an adjustment strategy for the abnormality handling scheme of the massage device of the target person is determined, which specifically includes: When the curve deviation is greater than a preset deviation threshold, the massage device is controlled to stop working; When the curve deviation is not greater than a preset deviation threshold, or when the curve deviation is not within a preset curve deviation interval, the massage device is controlled to output an alarm signal to remind the target person to keep the massage position stable; When the curve deviation is within the preset curve deviation range, the lactate metabolism instrument continues to be controlled to work according to the matching massage mode.

[0063] Furthermore, the preset variation interval is a variation interval within a preset probability interval according to the distribution probability of the matching massage method in different massage objects at the moment.

[0064] Embodiment 2 According to one aspect of the present invention, Figure 5 As shown, the present invention proposes a metabolic balance instrument, which adopts the above-mentioned lactate metabolism data analysis and processing method, specifically comprising: Data acquisition module, massage pattern matching module, massage processing module; The data acquisition module is responsible for acquiring the movement data of the target person; The massage mode matching module is responsible for determining matching massage modes for different parts of the target person using the motion data of the target person; The massage processing module is responsible for performing massage treatment on different parts of the target person using the matching massage mode, and determining whether to adjust the processing strategy of the abnormal processing scheme of the massage device of the target person using the pressure feedback data of the massage device.

[0065] Furthermore, the exercise data includes the target person's historical exercise records, exercise methods, and exercise amounts.

[0066] Specifically, the motion data is determined by input data of the target person or a reading result of monitoring data of a motion monitoring device.

[0067] It should be noted that the matching massage mode is determined according to the matching result of the movement data of the target person in the database of the balance instrument, and specifically, the matching massage mode of the target person is determined according to the preset massage mode corresponding to the matching result.

[0068] It can be understood that the adjustment strategy of the abnormality handling scheme of the massage device of the target person is determined by using the pressure feedback data of the massage device, specifically including: Determine the pressure feedback amount at different times based on the pressure feedback data of the massage device at different times; Determine the deviation time according to the deviation between the pressure feedback amount and the preset pressure feedback amount; An adjustment processing strategy for an abnormality processing scheme of the massage device of the target person is determined based on the number of the deviation moments.

[0069] Specifically, determining an adjustment processing strategy for an abnormality processing scheme of the massage device of the target person based on the number of the deviation moments specifically includes: When the number of the deviation moments is greater than a preset deviation moment number threshold, the massage device is controlled to stop working; When the number of the deviation moments is greater than a preset deviation moment number threshold, or when the number of the deviation moments is not within a preset deviation moment number interval, the massage device is controlled to output an alarm signal to remind the target person to keep the massage position stable; When the number of the deviation moments is within a preset deviation moment number interval, the lactic acid metabolism instrument continues to be controlled to work according to the matching massage mode.

[0070] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0071] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for analyzing and processing lactate metabolism data, characterized in that: Specifically include: Determine the target person's exercise mode based on the analysis result of the target person's exercise data, and use the massage mode corresponding to the exercise mode as the corresponding massage mode; When it is determined that the completeness of the target person's motion data does not meet the requirements according to the matching of the data requirements of the corresponding massage method and the motion data of the target person, a matching massage method for the target person is determined according to the matching of the data requirements of different corresponding massage methods and the motion data and the historical massage processing results of different corresponding massage methods; The matching massage method is used to perform massage treatment on the corresponding parts of the target person, and the pressure feedback data of the massage device during the massage treatment process is used to determine that there is no deviation in the massage parts of the massage device. Based on the analysis results of the pressure feedback data of the massage device at different times, the adjustment processing strategy of the abnormal handling plan of the massage device of the target person is determined.

2. The lactate metabolism data analysis and processing method according to claim 1, characterized in that: The sports include running, swimming, walking, football, basketball and badminton.

3. The lactate metabolism data analysis and processing method according to claim 1, characterized in that: The corresponding massage method includes the adjustment method of the massage treatment frequency and the massage pressure.

4. The lactate metabolism data analysis and processing method according to claim 1, characterized in that: It is determined that the completeness of the target person's motion data does not meet the requirements, specifically including: Based on the data requirements of different corresponding massage methods, determining the deviation between the movement data of the target person and the data requirements of different dimensions; Determine the deviation data requirements in the data requirements of different dimensions by using the deviation situation; Whether the completeness of the movement data of the target person meets the requirement is determined according to the number of deviation data required for different corresponding massage methods.

5. The lactate metabolism data analysis and processing method according to claim 4, characterized in that: When the number of deviation data required for different corresponding massage methods is greater than the preset required number, it is determined that the completeness of the movement data of the target person does not meet the requirement.

6. The lactate metabolism data analysis and processing method according to claim 1, characterized in that: The method for determining the adjustment processing strategy of the abnormal processing scheme of the massage device of the target person is: Determine the change of the pressure feedback data of the massage device at different times based on the analysis result of the pressure feedback data of the massage device at different times; Determine a change curve of the pressure feedback data of the massage device based on the change of the pressure data of the massage device at different times; Based on the deviation between the variation curve and the preset variation curve, the curve deviation amount between the variation curve and the preset variation curve is determined, and based on the curve deviation amount, an adjustment processing strategy for the abnormal processing scheme of the massage device for the target person is determined.

7. The lactate metabolism data analysis and processing method according to claim 6, characterized in that: The preset variation curve is determined according to the preset variation curve corresponding to the matching massage method, and is specifically determined according to the average value of the variation curves of the matching massage method on different massage objects.

8. A metabolic balance instrument, using a lactate metabolism data analysis and processing method according to any one of claims 1 to 7, characterized in that: Specifically include: Data acquisition module, massage pattern matching module, massage processing module; The data acquisition module is responsible for acquiring the movement data of the target person; The massage mode matching module is responsible for determining matching massage modes for different parts of the target person using the motion data of the target person; The massage processing module is responsible for performing massage treatment on different parts of the target person using the matching massage mode, and determining whether to adjust the processing strategy of the abnormal processing scheme of the massage device of the target person using the pressure feedback data of the massage device.

9. The metabolic balance instrument according to claim 8, characterized in that: The exercise data includes the historical exercise records, exercise methods and exercise amounts of the target person.

10. The metabolic balance instrument according to claim 8, characterized in that: The motion data is determined by input data of the target person or a reading result of monitoring data of a motion monitoring device.

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