Physiotherapy optimization method and system based on sole reflecting region and brain wave

Abstract

The invention discloses a physical therapy optimization method and system based on a foot sole reflection area and brain waves, the foot sole reflection area of a user is determined according to acquired foot sole three-dimensional data of the user, and a massage instruction containing a preset massage mode is sent to a massage instrument, so that the massage instrument massages the foot sole reflection area according to the preset massage mode. Meanwhile, brain wave signals of the user are collected, health assessment is conducted on the user through a health assessment model based on a deep learning algorithm according to the brain wave signals, a health score is obtained, an abnormal foot sole reflection area is determined according to the health score, and a massage scheme is generated according to the abnormal foot sole reflection area; according to the method, a massage scheme is generated by a user, a massage instruction corresponding to the massage scheme is sent to a massage instrument, brain wave feedback generated by the user is accurately analyzed, the corresponding massage scheme is generated through health assessment and determination of an abnormal foot sole reflecting area, personalized accurate massage is achieved, and therefore the personalized degree and effectiveness of physiotherapy are improved, and the user experience is improved. And the effectiveness of the physical therapy effect is ensured.

Description

Technical Field

[0001] The present invention relates to the field of physical therapy technology, and in particular to a physical therapy optimization method and system based on plantar reflexology and brain waves. Background Art

[0002] Preventive treatment for aging applies Traditional Chinese Medicine's principles of preventing illness before it occurs to addressing aging, and is crucial for managing the health of the elderly. Preventive treatment encompasses prevention before illness occurs, prevention of progression after illness occurs, and prevention of recurrence after recovery. In the context of aging, prevention before illness occurs involves preventing the onset of illness in the elderly through healthy lifestyles and psychological adjustments; prevention of progression after illness occurs involves preventing the aggravation of existing illnesses or the development of complications; and prevention of recurrence after recovery involves preventing recurrence after recovery, promoting optimal health in the elderly.

[0003] Physical therapy has many values ​​in preventing diseases in the elderly. Traditional physical therapy methods are usually relatively simple, such as electrotherapy, phototherapy, magnetic therapy, massage, etc., which cannot provide accurate physical therapy plans based on individual neural feedback, resulting in insignificant physical therapy effects. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a physical therapy optimization method and system based on plantar reflexology and brain waves, which can improve the personalization and effectiveness of physical therapy.

[0005] In order to solve the above technical problems, a technical solution adopted by the present invention is: A physical therapy optimization method based on plantar reflexology and brain waves, comprising the following steps: Acquire three-dimensional sole data of a user, and determine a sole reflex zone of the user based on the three-dimensional sole data; Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode, and simultaneously collects the brain wave signal of the user; Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brainwave signal to obtain a health score, and determining abnormal plantar reflex areas according to the health score; A massage plan is generated according to the abnormal sole reflex zone, and a massage instruction corresponding to the massage plan is sent to the massager.

[0006] In order to solve the above technical problems, another technical solution adopted by the present invention is: A physical therapy optimization system based on plantar reflexology and brain waves includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Acquire three-dimensional sole data of a user, and determine a sole reflex zone of the user based on the three-dimensional sole data; Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode, and simultaneously collects the brain wave signal of the user; Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brainwave signal to obtain a health score, and determining abnormal plantar reflex areas according to the health score; A massage plan is generated according to the abnormal sole reflex zone, and a massage instruction corresponding to the massage plan is sent to the massager.

[0007] The beneficial effects of the present invention are: determining the user's foot reflex zone based on the acquired three-dimensional data of the user's foot, sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the foot reflex zone according to the preset massage mode, and at the same time collecting the user's brain wave signal, performing a health assessment on the user according to the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, and determining the abnormal foot reflex zone based on the health score, generating a massage plan based on the abnormal foot reflex zone, and sending a massage instruction corresponding to the massage plan to the massager, so that while massaging the foot, the brain wave feedback generated by the user is accurately analyzed to achieve an effect similar to the traditional Chinese medicine's "looking, smelling, asking and feeling", and through health assessment and determination of abnormal foot reflex zones, a corresponding massage plan is generated to achieve personalized and precise massage, thereby improving the personalization and effectiveness of physical therapy and ensuring the effectiveness of physical therapy effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 This is a flowchart of the steps of a physical therapy optimization method based on plantar reflexology and brain waves according to an embodiment of the present invention; Figure 2 Schematic diagram of a physical therapy optimization system based on plantar reflexology and brain waves according to an embodiment of the present invention; Figure 3 This is a schematic diagram of three-dimensional plantar data in a physical therapy optimization method based on plantar reflexology and brain waves according to an embodiment of the present invention; Figure 4 Schematic diagram of plantar reflexology in a physiotherapy optimization method based on plantar reflexology and brain waves according to an embodiment of the present invention; Figure 5 Schematic diagram of waveforms of different frequency bands in a physical therapy optimization method based on plantar reflexology and brain waves according to an embodiment of the present invention; Figure 6 This is a schematic diagram of attention indicators and meditation indicators in a physical therapy optimization method based on plantar reflexology and brain waves according to an embodiment of the present invention. DETAILED DESCRIPTION

[0009] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0010] Please refer to Figure 1 , a physical therapy optimization method based on plantar reflexology and brain waves, comprising the steps of: Acquire three-dimensional sole data of a user, and determine a sole reflex zone of the user based on the three-dimensional sole data; Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode, and simultaneously collects the brain wave signal of the user; Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brainwave signal to obtain a health score, and determining abnormal plantar reflex areas according to the health score; A massage plan is generated according to the abnormal sole reflex zone, and a massage instruction corresponding to the massage plan is sent to the massager.

[0011] From the above description, it can be seen that the beneficial effects of the present invention are: determining the user's foot reflex zone based on the acquired three-dimensional data of the user's foot, sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the foot reflex zone according to the preset massage mode, and at the same time collecting the user's brain wave signal, performing a health assessment on the user according to the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, and determining the abnormal foot reflex zone based on the health score, generating a massage plan based on the abnormal foot reflex zone, and sending a massage instruction corresponding to the massage plan to the massager, so that while massaging the foot, the brain wave feedback generated by the user is accurately analyzed to achieve an effect similar to the traditional Chinese medicine's "looking, smelling, asking and feeling", and through health assessment and determination of abnormal foot reflex zones, a corresponding massage plan is generated to achieve personalized and precise massage, thereby improving the personalization and effectiveness of physical therapy and ensuring the effectiveness of physical therapy effects.

[0012] Furthermore, the health assessment of the user is performed based on the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, including: Calculating an attention value and a meditation value according to the brainwave signal; Calculating a brain activity weight parameter according to the attention value and the meditation value; Sampling the waveform of each frequency band in the brain wave signal to obtain an array of power characteristic values ​​of the waveform of each frequency band; Performing weighted averaging on the power characteristic value array to obtain the current trigger value of the waveform of each frequency band; Calculating an average feeling value based on the brain activity weight parameter and the trigger value at that time; Calculating a point perception value based on the brain activity weight parameter and the power eigenvalue array; The average feeling value and the point feeling value are used to perform a health assessment on the user using a health assessment model based on a deep learning algorithm to obtain a health score.

[0013] From the above description, we can see that during a foot massage, the brain will produce different feedback when stimulating different acupoints (corresponding to reflex areas). By calculating the attention value, meditation value, the power characteristic value array of the waveform in each frequency band, and the trigger value at that time, the brain activity state can be fully reflected. The calculated average perception value and point perception value are input into the health assessment model based on the deep learning algorithm for health assessment, ensuring the accuracy of the health assessment.

[0014] Furthermore, determining the abnormal plantar reflex area according to the health score includes: determining a health status according to the health score; If the health status is good, general, pathological or serious, abnormal fluctuations of the brain wave signal are determined, and abnormal plantar reflex areas corresponding to the abnormal fluctuations are determined.

[0015] From the above description, it can be seen that when the health status is good, general, pathological or serious, the abnormal fluctuation of the brain wave signal is first determined, and then the abnormal plantar reflex area corresponding to the abnormal fluctuation is determined, that is, which specific plantar reflex area causes the abnormal fluctuation of the brain wave signal, so as to facilitate subsequent targeted physical therapy for the abnormal plantar reflex area.

[0016] Furthermore, determining the health status according to the health score includes: If the health score is greater than or equal to a first preset value, the health status is determined to be very healthy; If the health score is less than the first preset value and greater than or equal to the second preset value, the health status is determined to be good; If the health score is less than the second preset value and greater than or equal to the third preset value, the health status is determined to be fair; If the health score is less than the third preset value and greater than or equal to the fourth preset value, the health status is determined to be pathological; If the health score is less than the fourth preset value, it is determined that the health status has a serious problem.

[0017] From the above description, we can see that the health status is divided into very healthy, good, general, pathological, and serious problems according to the health score, which allows users to intuitively understand their health status.

[0018] Furthermore, obtaining the three-dimensional data of the user's soles includes: Collect front and side photos of the user's feet; constructing a three-dimensional foot model based on the frontal photograph of the foot and the side photograph of the foot; Acquire three-dimensional sole data based on the three-dimensional foot model.

[0019] From the above description, it can be seen that by collecting front and side photos of the user's feet, building a three-dimensional model of the feet, and obtaining three-dimensional data of the soles of the feet, it is possible to accurately locate the user's sole reflex area and ensure the ultimate physical therapy effect.

[0020] Please refer to Figure 2 A physical therapy optimization system based on plantar reflexology and brain waves includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Acquire three-dimensional sole data of a user, and determine a sole reflex zone of the user based on the three-dimensional sole data; Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode, and simultaneously collects the brain wave signal of the user; Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brainwave signal to obtain a health score, and determining abnormal plantar reflex areas according to the health score; A massage plan is generated according to the abnormal sole reflex zone, and a massage instruction corresponding to the massage plan is sent to the massager.

[0021] From the above description, it can be seen that the beneficial effects of the present invention are: determining the user's foot reflex zone based on the acquired three-dimensional data of the user's foot, sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the foot reflex zone according to the preset massage mode, and at the same time collecting the user's brain wave signal, performing a health assessment on the user according to the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, and determining the abnormal foot reflex zone based on the health score, generating a massage plan based on the abnormal foot reflex zone, and sending a massage instruction corresponding to the massage plan to the massager, so that while massaging the foot, the brain wave feedback generated by the user is accurately analyzed to achieve an effect similar to the traditional Chinese medicine's "looking, smelling, asking and feeling", and through health assessment and determination of abnormal foot reflex zones, a corresponding massage plan is generated to achieve personalized and precise massage, thereby improving the personalization and effectiveness of physical therapy and ensuring the effectiveness of physical therapy effects.

[0022] Furthermore, the health assessment of the user is performed based on the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, including: Calculating an attention value and a meditation value according to the brainwave signal; Calculating a brain activity weight parameter according to the attention value and the meditation value; Sampling the waveform of each frequency band in the brain wave signal to obtain an array of power characteristic values ​​of the waveform of each frequency band; Performing weighted averaging on the power characteristic value array to obtain the current trigger value of the waveform of each frequency band; Calculating an average feeling value based on the brain activity weight parameter and the trigger value at that time; Calculating a point perception value based on the brain activity weight parameter and the power eigenvalue array; The average feeling value and the point feeling value are used to perform a health assessment on the user using a health assessment model based on a deep learning algorithm to obtain a health score.

[0023] From the above description, we can see that during a foot massage, the brain will produce different feedback when stimulating different acupoints (corresponding to reflex areas). By calculating the attention value, meditation value, the power characteristic value array of the waveform in each frequency band, and the trigger value at that time, the brain activity state can be fully reflected. The calculated average perception value and point perception value are input into the health assessment model based on the deep learning algorithm for health assessment, ensuring the accuracy of the health assessment.

[0024] Furthermore, determining the abnormal plantar reflex area according to the health score includes: determining a health status according to the health score; If the health status is good, general, pathological or serious, abnormal fluctuations of the brain wave signal are determined, and abnormal plantar reflex areas corresponding to the abnormal fluctuations are determined.

[0025] From the above description, it can be seen that when the health status is good, general, pathological or serious, the abnormal fluctuation of the brain wave signal is first determined, and then the abnormal plantar reflex area corresponding to the abnormal fluctuation is determined, that is, which specific plantar reflex area causes the abnormal fluctuation of the brain wave signal, so as to facilitate subsequent targeted physical therapy for the abnormal plantar reflex area.

[0026] Furthermore, determining the health status according to the health score includes: If the health score is greater than or equal to a first preset value, the health status is determined to be very healthy; If the health score is less than the first preset value and greater than or equal to the second preset value, the health status is determined to be good; If the health score is less than the second preset value and greater than or equal to the third preset value, the health status is determined to be fair; If the health score is less than the third preset value and greater than or equal to the fourth preset value, the health status is determined to be pathological; If the health score is less than the fourth preset value, it is determined that the health status has a serious problem.

[0027] From the above description, we can see that the health status is divided into very healthy, good, general, pathological, and serious problems according to the health score, which allows users to intuitively understand their health status.

[0028] Furthermore, obtaining the three-dimensional data of the user's soles includes: Collect front and side photos of the user's feet; constructing a three-dimensional foot model based on the frontal photograph of the foot and the side photograph of the foot; Acquire three-dimensional sole data based on the three-dimensional foot model.

[0029] From the above description, it can be seen that by collecting front and side photos of the user's feet, building a three-dimensional model of the feet, and obtaining three-dimensional data of the soles of the feet, it is possible to accurately locate the user's sole reflex area and ensure the ultimate physical therapy effect.

[0030] The above-mentioned physical therapy optimization method and system based on plantar reflexology and brain waves of the present invention can be applied to physical therapy scenarios, and the following is an explanation through specific implementation methods: Please refer to Figure 1 、 Figure 3-Figure 6 , embodiment 1 of the present invention is: A physical therapy optimization method based on plantar reflexology and brain waves, comprising the following steps: S1. Acquire three-dimensional sole data of a user, and determine the sole reflex area of ​​the user according to the three-dimensional sole data, specifically including S11-S14: S11. Collect front and side photos of the user's feet.

[0031] The frontal photos of the feet include a frontal photo of the left foot and a frontal photo of the right foot, and the side photos of the feet include a side photo of the left foot and a side photo of the right foot.

[0032] S12. Constructing a three-dimensional foot model based on the frontal photo of the foot and the side photo of the foot.

[0033] S13, obtaining three-dimensional sole data based on the three-dimensional foot model, such as Figure 3 shown.

[0034] This makes it possible to easily acquire foot data.

[0035] S14. Determine the reflex area of ​​the user's sole according to the three-dimensional sole data.

[0036] Specifically, according to the theories of acupuncture points and reflex zones of the soles of the feet in traditional Chinese and Western medicine, the reflex zones of the soles of the feet of the user are determined based on the three-dimensional data of the soles of the feet, such as Figure 4 shown.

[0037] S2. Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode and collects the brain wave signal of the user at the same time.

[0038] Among them, the massager can simulate human hands to perform kneading, pressing, pushing and other techniques on acupoints or reflex areas; the preset massage mode is a pre-set standard comprehensive massage, that is, from the heart reflex area to the adrenal gland reflex area, the abdominal plexus reflex area, the urinary system reflex area, the frontal sinus reflex area, the head reflex area, the thyroid reflex area, the trapezius muscle reflex area, the five internal organs reflex area, the intestinal area reflex area, the gonad reflex area, etc., corresponding massage techniques are used in turn.

[0039] S3. Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brain wave signal to obtain a health score, and determining abnormal plantar reflexology areas according to the health score, specifically including S31-S39: S31. Calculate an attention value and a meditation value according to the brain wave signal.

[0040] In an optional embodiment, the eSense algorithm is used to calculate the attention value and the meditation value based on the brain wave signal. Figure 6 As shown, Figure 6 An example of an attention indicator and a meditation indicator is given.

[0041] S32. Calculate a brain activity weight parameter based on the attention value and the meditation value, specifically: W = ATS × MDS; Where W represents the weight parameter of brain activity, ATS represents the attention value, and MDS represents the meditation value.

[0042] The attention value and meditation value can also reflect the brain state. For example, when the attention value is between 40 and 60 and the meditation value is between 30 and 50, it means that the individual's brain is in a relaxed stage.

[0043] S33. Sampling the waveform of each frequency band in the brain wave signal to obtain an array of power characteristic values ​​of the waveform of each frequency band.

[0044] Among them, the waveforms of each frequency band include delta wave, theta wave, alpha wave, beta wave and gamma wave, such as Figure 5 As shown, Figure 5 An example of the original waveform and waveforms in different frequency bands is given.

[0045] Specifically, the waveforms of each frequency band in the EEG signal are sampled according to a preset sampling rate, and the sampled samples are subjected to Fourier transform (FFT) to convert the time domain signal into the frequency domain to obtain the power spectrum density. A sliding window is then used to calculate the power in real time, and the power spectrum density is integrated within the target frequency band to obtain the frequency band power as the power eigenvalue array of the frequency band.

[0046] In an optional embodiment, the preset sampling rate is 250 Hz. The sliding window is a 1 second window with 50% overlap.

[0047] For example, for the δ wave, after 60 seconds of sampling, a power eigenvalue array Dsi

[60] is obtained.

[0048] During a foot massage, different acupoints stimulated by the foot massage produce different responses in the brain. Similarly, different massage techniques applied to the same area can also produce different responses in the brain. The relationship between brain waves and tactile pain perception is complex and influenced by multiple factors. Therefore, it cannot be determined based on a single numerical value. A comprehensive analysis of changes in brainwave power across multiple frequency bands is required, taking into account specific contexts and individual circumstances.

[0049] S34. Perform weighted averaging on the power characteristic value array to obtain the current trigger value of the waveform of each frequency band.

[0050] S35. Calculate the average feeling value based on the brain activity weight parameter and the trigger value at that time, specifically: Pds=W×Fi×Ds; Pts=W×Fi×Ts; Pas=W×Fi×As; Pbs=W×Fi×Bs; Pgs=W×Fi×Gs; Wherein, Pds represents the average feeling value of δ wave, Fi represents the preset coefficient, Ds represents the current trigger value of δ wave, Pts represents the average feeling value of θ wave, Ts represents the current trigger value of θ wave, Pas represents the average feeling value of α wave, As represents the current trigger value of α wave, Pbs represents the average feeling value of β wave, Bs represents the current trigger value of β wave, Pgs represents the average feeling value of γ wave, and Gs represents the current trigger value of γ wave.

[0051] Among them, the preset coefficient is set according to the actual individual situation, and the value range is 0.7-1.4.

[0052] S36. Calculate the point perception value based on the brain activity weight parameter and the power characteristic value array. The point perception value is also in array form, specifically: Pdi=W×Fi×Dsi; Pti=W×Fi×Tsi; Pai=W×Fi×Asi; Pbi=W×Fi×Bsi; Pgi=W×Fi×Gsi; Wherein, Pdi represents the point perception value of the δ wave, Dsi represents the power eigenvalue array of the δ wave, Pti represents the point perception value of the θ wave, Tsi represents the power eigenvalue array of the θ wave, Pai represents the point perception value of the α wave, Asi represents the power eigenvalue array of the α wave, Pbi represents the power eigenvalue array of the β wave, Bsi represents the point perception value of the β wave, Pgi represents the point perception value of the γ wave, and Gsi represents the power eigenvalue array of the γ wave.

[0053] For example, when a user experiences soreness during a foot massage, the average sensation value (Pas) typically decreases, the average sensation value (Pbs) increases, and the average sensation value (Pgs) significantly increases. When a user experiences tingling during a foot massage, the average sensation value (Pgi) produces a small spike. If soreness occurs during a massage of a specific area, it may indicate poor Qi and blood circulation in the corresponding internal organs or body part, such as local meridian blockage caused by excessive fatigue or long-term poor posture. Tingling pain often indicates that the area may have severe Qi and blood stasis, or even some inflammation or injury. For example, tingling in the heel may be related to Achilles tendonitis or plantar fasciitis. Therefore, the average sensation value and the average point sensation value can be used as inputs to the health assessment model.

[0054] S37. Use the average feeling value and the point feeling value to perform a health assessment on the user using a health assessment model based on a deep learning algorithm to obtain a health score.

[0055] In an optional embodiment, in addition to inputting the average perception value and point perception value into the health assessment model based on the deep learning algorithm, multimodal data such as the tension change of the electromyographic signal and the heart rate variability in the autonomic nervous physiological indicators are also input. According to the preset weight coefficient, the data are fused and calculated with the average perception value and the point perception value to perform a health assessment on the user and obtain a health score.

[0056] Among them, in the training stage of the health assessment model based on the deep learning algorithm, the transfer learning strategy is used to fine-tune the pre-trained general EEG feature extraction network, and the features of the specific EEG pattern of plantar reflex zone stimulation are enhanced. The combined architecture of the convolutional neural network (CNN) and the long short-term memory network (LSTM) is tuned through the hyperparameter optimization algorithm. At the same time, the cross-validation strategy is adopted to ensure the generalization ability of the model, so as to obtain a trained health assessment model based on the deep learning algorithm.

[0057] S38. Determine the health status according to the health score, specifically including S381-S385: S381. If the health score is greater than or equal to a first preset value, the health status is determined to be very healthy.

[0058] In an optional embodiment, the first preset value is 90. Very healthy means that the individual has strong neuromodulation function under plantar stimulation and the pain response is within an ideal range.

[0059] S382: If the health score is less than the first preset value and greater than or equal to the second preset value, determine that the health status is good.

[0060] In an optional embodiment, the second preset value is 80. Good indicates that the individual's overall health status is good, but there is still room for slight optimization.

[0061] S383: If the health score is less than the second preset value and greater than or equal to the third preset value, determine that the health status is general.

[0062] In an optional embodiment, the third preset value is 60. This generally indicates that the individual has potential neurological fluctuations or health risks and requires continuous attention.

[0063] S384: If the health score is less than the third preset value and greater than or equal to the fourth preset value, determine that the health status is pathological.

[0064] In an optional embodiment, the fourth preset value is 40. The presence of pathology indicates that the individual may have abnormal pain perception or neurological dysfunction, and timely intervention is required.

[0065] S385: If the health score is less than the fourth preset value, it is determined that the health status has a serious problem.

[0066] The presence of serious problems indicates that the individual's health is worrying and there may be more serious physiological abnormalities.

[0067] By outputting health status, users can understand their own physical condition.

[0068] S39. If the health status is good, general, pathological or serious, determine the abnormal fluctuation of the brain wave signal and determine the abnormal plantar reflex area corresponding to the abnormal fluctuation.

[0069] The abnormal fluctuation of the brain wave signal is the abnormal fluctuation of the waveform of the brain wave signal in different frequency bands, and the abnormal plantar reflex zone corresponding to the abnormal fluctuation is the plantar reflex zone being massaged when the abnormal fluctuation occurs.

[0070] S4. Generate a massage plan according to the abnormal plantar reflex zone, and send a massage instruction corresponding to the massage plan to the massager.

[0071] In an optional embodiment, the massage technique corresponding to each sole reflexology zone is determined in advance, for example, the massage technique corresponding to the stomach reflexology zone is determined.

[0072] Specifically, a massage technique corresponding to the abnormal plantar reflex zone is determined, a massage time and a massage intensity are determined based on the abnormal fluctuation, a massage plan is generated based on the massage technique, the massage time, and the massage intensity, and a massage instruction corresponding to the massage plan is sent to the massager, causing the massager to massage the abnormal plantar reflex zone according to the massage plan. The massage technique may include pushing, pressing, and / or kneading.

[0073] For example, abnormal fluctuations in different intervals correspond to different massage times and massage intensities, and the corresponding massage events and massage intensities can be determined based on the determined abnormal fluctuations.

[0074] In an optional implementation, after S4, the process returns to executing the step of collecting the user's brain wave signal.

[0075] By continuously obtaining brainwave feedback data, we adjust the massage techniques and intensity to suit the health conditions of different individuals.

[0076] Please refer to Figure 2 , the second embodiment of the present invention is: A physical therapy optimization system based on plantar reflexology and brain waves includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the physical therapy optimization method based on plantar reflexology and brain waves in Example 1 is implemented.

[0077] In summary, the present invention provides a physical therapy optimization method and system based on plantar reflexology and brain waves, which determines the plantar reflexology of the user based on the acquired three-dimensional data of the plantar of the user, sends a massage instruction containing a preset massage mode to the massager, so that the massager massages the plantar reflexology according to the preset massage mode, and at the same time collects the user's brain wave signal, and uses a health assessment model based on a deep learning algorithm to perform a health assessment on the user based on the brain wave signal to obtain a health score, and determines the abnormal plantar reflexology based on the health score, generates a massage plan based on the abnormal plantar reflexology, and sends a massage instruction corresponding to the massage plan to the massager, so that the brain wave feedback generated by the user can be processed while the plantar reflexology is being massaged. It can perform precise analysis to achieve the effect similar to the traditional Chinese medicine's "looking, smelling, asking and feeling" method. Through health assessment and the determination of abnormal plantar reflex areas, it can generate corresponding massage plans and realize personalized precision massage, thereby improving the personalization and effectiveness of physical therapy and ensuring the effectiveness of physical therapy. In addition, during the process of foot massage, the brain will produce different feedback when stimulating different acupoints (corresponding to reflex areas). By calculating the attention value, meditation value, power characteristic value array of the waveform of each frequency band and the trigger value at that time, it can fully reflect the state of brain activity. The calculated average perception value and point perception value are input into the health assessment model based on deep learning algorithm for health assessment, which ensures the accuracy of health assessment.

[0078] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A physical therapy optimization method based on plantar reflexology and brain waves, characterized in that: Including steps: Acquire three-dimensional sole data of a user, and determine a sole reflex zone of the user based on the three-dimensional sole data; Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode, and simultaneously collects the brain wave signal of the user; Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brainwave signal to obtain a health score, and determining abnormal plantar reflex areas according to the health score; A massage plan is generated according to the abnormal sole reflex zone, and a massage instruction corresponding to the massage plan is sent to the massager.

2. The physiotherapy optimization method based on plantar reflexology and brain waves according to claim 1, characterized in that: The health assessment of the user is performed according to the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, which includes: Calculating an attention value and a meditation value according to the brainwave signal; Calculating a brain activity weight parameter according to the attention value and the meditation value; Sampling the waveform of each frequency band in the brain wave signal to obtain an array of power characteristic values ​​of the waveform of each frequency band; Performing weighted averaging on the power characteristic value array to obtain the current trigger value of the waveform of each frequency band; Calculating an average feeling value based on the brain activity weight parameter and the trigger value at that time; Calculating a point perception value based on the brain activity weight parameter and the power eigenvalue array; The average feeling value and the point feeling value are used to perform a health assessment on the user using a health assessment model based on a deep learning algorithm to obtain a health score.

3. The physical therapy optimization method based on plantar reflexology and brain waves according to claim 1, characterized in that: Determining the abnormal plantar reflex area according to the health score includes: determining a health status according to the health score; If the health status is good, general, pathological or serious, abnormal fluctuations of the brain wave signal are determined, and abnormal plantar reflex areas corresponding to the abnormal fluctuations are determined.

4. The method for optimizing physical therapy based on plantar reflexology and brain waves according to claim 3, characterized in that: Determining the health status according to the health score includes: If the health score is greater than or equal to a first preset value, the health status is determined to be very healthy; If the health score is less than the first preset value and greater than or equal to the second preset value, the health status is determined to be good; If the health score is less than the second preset value and greater than or equal to the third preset value, the health status is determined to be fair; If the health score is less than the third preset value and greater than or equal to the fourth preset value, the health status is determined to be pathological; If the health score is less than the fourth preset value, it is determined that the health status has a serious problem.

5. The physical therapy optimization method based on plantar reflexology and brain waves according to claim 1, characterized in that: The obtaining of the user's foot three-dimensional data includes: Collect front and side photos of the user's feet; constructing a three-dimensional foot model based on the frontal photograph of the foot and the side photograph of the foot; Acquire three-dimensional sole data based on the three-dimensional foot model.

6. A physical therapy optimization system based on plantar reflexology and brain waves, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the following steps are implemented: Acquire three-dimensional sole data of a user, and determine a sole reflex zone of the user based on the three-dimensional sole data; Sending a massage instruction containing a preset massage mode to the massager, so that the massager massages the reflex area of ​​the sole of the foot according to the preset massage mode, and simultaneously collects the brain wave signal of the user; Performing a health assessment on the user using a health assessment model based on a deep learning algorithm according to the brainwave signal to obtain a health score, and determining abnormal plantar reflex areas according to the health score; A massage plan is generated according to the abnormal sole reflex zone, and a massage instruction corresponding to the massage plan is sent to the massager.

7. The physical therapy optimization system based on plantar reflexology and brain waves according to claim 6, characterized in that: The health assessment of the user is performed according to the brain wave signal using a health assessment model based on a deep learning algorithm to obtain a health score, which includes: Calculating an attention value and a meditation value according to the brainwave signal; Calculating a brain activity weight parameter according to the attention value and the meditation value; Sampling the waveform of each frequency band in the brain wave signal to obtain an array of power characteristic values ​​of the waveform of each frequency band; Performing weighted averaging on the power characteristic value array to obtain the current trigger value of the waveform of each frequency band; Calculating an average feeling value based on the brain activity weight parameter and the trigger value at that time; Calculating a point perception value based on the brain activity weight parameter and the power eigenvalue array; The average feeling value and the point feeling value are used to perform a health assessment on the user using a health assessment model based on a deep learning algorithm to obtain a health score.

8. The physical therapy optimization system based on plantar reflexology and brain waves according to claim 6, characterized in that: Determining abnormal plantar reflexology areas according to the health score includes: determining a health status according to the health score; If the health status is good, general, pathological or serious, abnormal fluctuations of the brain wave signal are determined, and abnormal plantar reflex areas corresponding to the abnormal fluctuations are determined.

9. The physical therapy optimization system based on plantar reflexology and brain waves according to claim 8, characterized in that: Determining the health status according to the health score includes: If the health score is greater than or equal to a first preset value, the health status is determined to be very healthy; If the health score is less than the first preset value and greater than or equal to the second preset value, the health status is determined to be good; If the health score is less than the second preset value and greater than or equal to the third preset value, the health status is determined to be fair; If the health score is less than the third preset value and greater than or equal to the fourth preset value, the health status is determined to be pathological; If the health score is less than the fourth preset value, it is determined that the health status has a serious problem.

10. The physical therapy optimization system based on plantar reflexology and brain waves according to claim 6, characterized in that: The obtaining of the user's foot three-dimensional data includes: Collect front and side photos of the user's feet; constructing a three-dimensional foot model based on the frontal photograph of the foot and the side photograph of the foot; Acquire three-dimensional sole data based on the three-dimensional foot model.

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