Composite treatment device for ankle joint and feedback method

Abstract

The invention discloses a composite treatment device for an ankle joint and a feedback method. The device comprises a treatment shoe, a magnetic therapy assembly, a vibration massage assembly, a physiological parameter acquisition assembly, a control assembly and a data processing assembly. The treatment shoe is of an ankle wrapping type structure. The magnetic therapy assembly comprises a plurality of permanent magnets, and the permanent magnets are uniformly distributed in the peripheral area of the ankle joint of the treatment shoe; the vibration massage assembly is integrally arranged in the treatment shoe and comprises a plurality of micro vibration motors; the control assembly is used for controlling the magnetic field intensity of the magnetic therapy assembly according to the preset magnetic field intensity and controlling the vibration frequency and the vibration intensity of the vibration massage assembly according to the preset vibration frequency and the preset vibration intensity; the physiological parameter acquisition assembly is used for acquiring a physiological parameter information set of a user; and the data processing assembly is used for performing feedback analysis processing on the user physiological parameter information set to generate a feedback value.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a composite treatment device and a feedback method for an ankle joint. Background Art

[0002] The ankle joint is an important weight-bearing joint in the human body, and its stability is crucial for daily activities such as walking and exercising. Ankle injury or instability can not only cause pain and inflammation, but may also cause long-term joint problems, such as osteoporosis. At present, there are various treatment devices for ankle instability or injury, including physical therapy, drug therapy, etc. From the perspective of treatment effect, the treatment effect of a single method is limited, and there is a problem of low treatment efficiency. At present, there is a lack of a treatment device that can combine the effects of magnetic therapy and vibration massage, and existing treatment devices often cannot provide real-time feedback on the treatment effect, and it is difficult to make personalized adjustments according to the specific situation of the user. Summary of the invention

[0003] The present invention mainly solves the problems of existing ankle joint treatment devices, such as single treatment means, limited effect, inability to provide real-time feedback on treatment effect, and difficulty in making personalized adjustments based on the specific circumstances of the user. The present invention discloses a composite ankle joint treatment device and feedback method.

[0004] In a first aspect of an embodiment of the present invention, a composite treatment device for an ankle joint is disclosed, comprising:

[0005] Therapeutic shoes, magnetic therapy components, vibration massage components, physiological parameter collection components, control components, data processing components;

[0006] The magnetic therapy component and the vibration massage component are respectively installed on the therapeutic shoes;

[0007] The therapeutic shoe is an ankle-wrapping structure, which closely fits the user's ankle joint and surrounding area, providing support and wrapping for the user's ankle joint;

[0008] The magnetic therapy component includes a plurality of permanent magnets, which are evenly distributed in the surrounding area corresponding to the ankle joint of the therapeutic shoe; the magnetic field strength of the magnetic therapy component is determined according to the control signal of the control component;

[0009] The vibration massage component is arranged in the therapeutic shoe and includes a plurality of micro vibration motors. The micro vibration motors determine the vibration frequency and vibration intensity according to the control signal of the control component to massage the ankle joint and surrounding soft tissue of the user;

[0010] The control component is connected to the magnetic therapy component and the vibration massage component respectively, and is used to control the magnetic field strength of the magnetic therapy component according to a preset magnetic field strength, and control the vibration frequency and vibration intensity of the vibration massage component according to a preset vibration frequency and vibration intensity; receive various feedback values, adjust the preset magnetic field strength, vibration frequency and vibration intensity; and send control signals to the vibration massage component and the magnetic therapy component;

[0011] The physiological parameter collection component is used to collect a set of physiological parameter information of the user;

[0012] The data processing component is connected to the physiological parameter acquisition component and the control component respectively, and is used to perform feedback analysis and processing on the user's physiological parameter information set to generate a magnetic field strength feedback value, a vibration frequency feedback value and a vibration intensity feedback value.

[0013] The physiological parameter acquisition component includes: a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and an information acquisition module;

[0014] The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user;

[0015] The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user;

[0016] The pulse sensor is used to measure and obtain a pulse measurement sequence of the user;

[0017] The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user;

[0018] The information acquisition module is connected to the body temperature sensor, blood pressure sensor, pulse sensor, and blood oxygen saturation sensor respectively, and is used to pre-process the various measurement sequences acquired to obtain a physiological parameter information set; the physiological parameter information set includes a body temperature measurement sequence, a blood pressure measurement sequence, a pulse measurement sequence, and a blood oxygen saturation measurement sequence.

[0019] The data processing component performs feedback analysis on the user physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value, including:

[0020] The data processing component obtains a standard physiological parameter set; the standard physiological parameter set includes a standard value of body temperature, a standard value of blood pressure, a standard value of pulse and a standard value of blood oxygen saturation;

[0021] For each type of measurement sequence of the physiological parameter information set, respectively, difference feature calculation processing is performed with the corresponding standard value to obtain a difference sequence of the corresponding type;

[0022] Performing a first feedback calculation process on all types of difference sequences to obtain a magnetic field intensity feedback value;

[0023] Using all types of difference sequences, a difference matrix is ​​constructed;

[0024] A second feedback calculation process is performed on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value.

[0025] In a second aspect of the embodiment of the present invention, a feedback method for composite treatment of an ankle joint is disclosed, which is implemented by using the composite treatment device for an ankle joint, and comprises:

[0026] S1, using the physiological parameter collection component to collect a set of physiological parameter information of the user;

[0027] S2, using the data processing component to perform feedback analysis on the user's physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value;

[0028] S3, using the control component to control the magnetic field strength of the magnetic therapy component according to the preset magnetic field strength, and to control the vibration frequency and vibration intensity of the vibration massage component according to the preset vibration frequency and vibration intensity; receiving various feedback values, and adjusting the preset magnetic field strength, vibration frequency and vibration intensity; and sending control signals to the vibration massage component and the magnetic therapy component.

[0029] The performing feedback analysis on the user physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value includes:

[0030] S21, obtaining a standard physiological parameter set; the standard physiological parameter set includes a standard value of body temperature, a standard value of blood pressure, a standard value of pulse, and a standard value of blood oxygen saturation;

[0031] S22, performing difference feature calculation processing on each type of measurement sequence of the physiological parameter information set and the corresponding standard value, to obtain a difference sequence of the corresponding type;

[0032] S23, performing a first feedback calculation process on all types of difference sequences to obtain a magnetic field intensity feedback value;

[0033] S24, constructing a difference matrix using all types of difference sequences;

[0034] S25, performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value.

[0035] The expression for the difference feature calculation process is:

[0036]

[0037] Among them, p i is the i-th element of a measurement sequence, u is the corresponding standard value of a measurement sequence, Z i is the i-th element of the difference sequence of the corresponding type of a type of measurement sequence.

[0038] The first feedback calculation process includes:

[0039] Perform fusion calculation processing on the elements of each moment of all types of difference sequences to obtain the fusion value at the moment, θ k is the fusion value at time k;

[0040] Feedback estimation processing is performed on the fusion value at each moment to obtain the magnetic field strength feedback value at each moment; the expression of the feedback estimation processing is:

[0041]

[0042] Among them, me k are the magnetic field strength feedback values ​​at k moments, and c0, c1, and c2 are preset multiplication factors.

[0043] The expression of the fusion calculation process is:

[0044]

[0045] Among them, L j () represents the j-order Laguerre polynomial, A jk is the element of the j-th type difference sequence at the kth moment, and J is the total number of types of difference sequences.

[0046] The performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value includes:

[0047] S251, performing eigenvalue solving processing on the difference matrix X to obtain the maximum eigenvalue λ max ;

[0048] S252, performing frequency domain transformation on each row vector of the difference matrix to obtain a frequency domain matrix Y;

[0049] S253, constructing a feature recognition model using the frequency domain matrix and the difference matrix;

[0050] S254, solving the feature recognition model to obtain a solution result of the first transformation vector and a solution result of the second transformation vector;

[0051] S255, performing vector dot multiplication on the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a vibration intensity feedback value;

[0052] S256, adding the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a fused variable vector;

[0053] S257, determining the sequence number value of the largest element in the fused variable vector, which is N1;

[0054] S258, determining N1×f0 as the vibration frequency feedback value, f0 as the preset reference frequency.

[0055] The expression of the feature recognition model is:

[0056] X′=cX,Y′=vY,wherein cov(X′,Y′) is the correlation value between the first fusion vector and the second fusion vector, X is the difference matrix, X′ is the first fusion vector, Y′ is the first fusion vector, c and v are the first transformation vector and the second transformation vector respectively, and c0 and v0 are the solution results of c and v respectively.

[0057] The beneficial effects of the present invention are:

[0058] The present invention can effectively relieve pain and inflammation for users with unstable or injured ankle joints through the combined effects of magnetic therapy and vibration massage, while preventing osteoporosis and providing comprehensive treatment support.

[0059] The present invention realizes personalized treatment, and through real-time feedback of treatment effect, personalized adjustment is made according to the specific situation of the user, thereby improving the pertinence and effectiveness of treatment.

[0060] The present invention is convenient to use, and through the ankle-wrapped therapeutic shoe design, is easy to wear and use, is suitable for use at home or in a medical institution, and improves user compliance.

[0061] The present invention has high safety, and adopts magnetic therapy and vibration massage, which are both non-invasive treatment methods, and has high safety, and is suitable for users of different age groups and health conditions.

[0062] When performing feedback calculation, the present invention performs difference calculation on the user's physiological signal set and the standard signal set to obtain a difference sequence; during the difference calculation process, a difference feature calculation processing model is specially constructed to achieve amplified extraction of difference features of different types of physiological parameters.

[0063] When calculating the magnetic field intensity feedback value, the present invention uses Laguerre polynomials to fuse different physiological parameter acquisition values ​​at the same time, and then performs feedback estimation processing on the fused value to obtain the magnetic field intensity feedback value;

[0064] When calculating the vibration frequency feedback value and the vibration intensity feedback value, the present invention uses time domain and frequency domain signals to construct a parameter identification model, takes minimizing the cross-correlation value as the goal, and solves the first transformation vector and the second transformation vector. Using the two transformation vectors, the vibration frequency feedback value and the vibration intensity feedback value are obtained, thereby realizing the extraction of vibration-related features. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 is an implementation flow chart of the feedback method of the present invention;

[0066] Figure 2 It is a composition diagram of the composite treatment device of the present invention. DETAILED DESCRIPTION

[0067] In order to better understand the content of the present invention, an embodiment is given here.

[0068] Figure 1 is an implementation flow chart of the feedback method of the present invention; Figure 2 It is a composition diagram of the composite treatment device of the present invention.

[0069] In a first aspect of an embodiment of the present invention, a composite treatment device for an ankle joint is disclosed, comprising: a treatment shoe, a magnetic therapy component, a vibration massage component, a physiological parameter acquisition component, a control component, and a data processing component;

[0070] The magnetic therapy component and the vibration massage component are respectively installed on the therapeutic shoes;

[0071] The therapeutic shoe has an ankle-wrapping structure, which closely fits the ankle joint and surrounding areas of the user to provide stable support and wrapping.

[0072] The magnetic therapy component includes a plurality of permanent magnets, which are evenly distributed in the surrounding area of ​​the ankle joint of the therapeutic shoe; the magnetic field strength of the magnetic therapy component is determined according to the control signal of the control component;

[0073] The magnetic field strength and distribution of the magnetic therapy component can be optimized according to the anatomical structure and treatment requirements of the ankle joint to achieve the best magnetic therapy effect.

[0074] The vibration massage component is integrated in the therapeutic shoe and includes a plurality of micro vibration motors. The micro vibration motors determine the vibration frequency and vibration intensity according to the control signal of the control component, massage the user's ankle joint and surrounding soft tissues, promote blood circulation, and relieve muscle tension.

[0075] The control component is connected to the magnetic therapy component and the vibration massage component respectively, and is used to control the magnetic field strength of the magnetic therapy component according to a preset magnetic field strength, and control the vibration frequency and vibration intensity of the vibration massage component according to a preset vibration frequency and vibration intensity; receive various feedback values, adjust the preset magnetic field strength, vibration frequency and vibration intensity; and send control signals to the vibration massage component and the magnetic therapy component;

[0076] The physiological parameter collection component is used to collect a set of physiological parameter information of the user;

[0077] The data processing component is connected to the physiological parameter acquisition component and the control component respectively, and is used to perform feedback analysis and processing on the user's physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value;

[0078] The physiological parameter acquisition component includes: a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and an information acquisition module;

[0079] The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user;

[0080] The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user;

[0081] The pulse sensor is used to measure and obtain a pulse measurement sequence of the user;

[0082] The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user;

[0083] The information acquisition module is connected to the body temperature sensor, blood pressure sensor, pulse sensor, and blood oxygen saturation sensor respectively, and is used to pre-process the various measurement sequences acquired to obtain a physiological parameter information set; the physiological parameter information set includes a body temperature measurement sequence, a blood pressure measurement sequence, a pulse measurement sequence, and a blood oxygen saturation measurement sequence.

[0084] The data processing component performs feedback analysis on the user physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value, including:

[0085] The data processing component obtains a standard physiological parameter set; the standard physiological parameter set includes a standard value of body temperature, a standard value of blood pressure, a standard value of pulse and a standard value of blood oxygen saturation;

[0086] For each type of measurement sequence of the physiological parameter information set, respectively, difference feature calculation processing is performed with the corresponding standard value to obtain a difference sequence of the corresponding type;

[0087] Performing a first feedback calculation process on all types of difference sequences to obtain a magnetic field intensity feedback value;

[0088] Using all types of difference sequences, a difference matrix is ​​constructed;

[0089] Performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value;

[0090] The expression for the difference feature calculation process is:

[0091]

[0092] Among them, p i is the i-th element of a measurement sequence, u is the corresponding standard value of a measurement sequence, Z i is the i-th element of the difference sequence of the corresponding type of a type of measurement sequence.

[0093] The first feedback calculation process includes:

[0094] Perform fusion calculation processing on the elements of each moment of all types of difference sequences to obtain the fusion value at the moment, θ k is the fusion value at time k;

[0095] The expression of the fusion calculation process is:

[0096]

[0097] Among them, L j () represents the j-order Laguerre polynomial, A jk is the element of the j-th type difference sequence at the kth moment, and J is the total number of types of difference sequences;

[0098] Feedback estimation processing is performed on the fusion value at each moment to obtain the magnetic field strength feedback value at each moment; the expression of the feedback estimation processing is:

[0099]

[0100] Among them, me k is the magnetic field strength feedback value at k moments, c0, c1, c2 are preset multiplication factors, and the values ​​can be 1.2, 0.8, 0.9;

[0101] The performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value includes:

[0102] Perform eigenvalue solving on the difference matrix X to obtain the maximum eigenvalue λ max ;

[0103] Performing frequency domain transformation on each row vector of the difference matrix to obtain a frequency domain matrix Y;

[0104] Using the frequency domain matrix and the difference matrix, a feature recognition model is constructed;

[0105] The expression of the feature recognition model is:

[0106] X′=cX,Y′=vY,where cov(X′,Y′) is the correlation value of the first fusion vector and the second fusion vector, X is the difference matrix, X′ is the first fusion vector, Y′ is the first fusion vector, c and v are the first transformation vector and the second transformation vector respectively, and c0 and v0 are the solution results of c and v respectively;

[0107] Solving the feature recognition model to obtain a solution result of a first transformation vector and a solution result of a second transformation vector;

[0108] Performing vector dot multiplication on the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a vibration intensity feedback value;

[0109] Adding a solution result of the first transformation vector and a solution result of the second transformation vector to obtain a fused variable vector;

[0110] Determine the sequence number value of the largest element in the fused variable vector, which is N1;

[0111] Determine N1×f0 as the vibration frequency feedback value, f0 is the preset reference frequency, and its value may be 200 Hz.

[0112] The feature recognition model can be solved by using a genetic algorithm;

[0113] The frequency domain transformation can be realized by using FFT algorithm;

[0114] The data processing component is used to process and analyze the user's physiological parameter information set, evaluate the treatment effect, and automatically adjust the parameters of magnetic therapy and vibration massage according to the preset treatment goals and the user's specific conditions to achieve personalized treatment.

[0115] The pre-processing includes data denoising and format unification processing;

[0116] In a second aspect of the embodiment of the present invention, a feedback method for composite treatment of an ankle joint is disclosed, which is implemented by using the composite treatment device for an ankle joint, and comprises:

[0117] S1, using the physiological parameter collection component to collect a set of physiological parameter information of the user;

[0118] S2, using the data processing component to perform feedback analysis on the user's physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value;

[0119] S3, using the control component to control the magnetic field strength of the magnetic therapy component according to a preset magnetic field strength, and to control the vibration frequency and vibration intensity of the vibration massage component according to a preset vibration frequency and vibration intensity; receiving various feedback values, adjusting the preset magnetic field strength, vibration frequency and vibration intensity; and sending control signals to the vibration massage component and the magnetic therapy component;

[0120] The performing feedback analysis on the user physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value includes:

[0121] S21, obtaining a standard physiological parameter set; the standard physiological parameter set includes a standard value of body temperature, a standard value of blood pressure, a standard value of pulse, and a standard value of blood oxygen saturation;

[0122] S22, performing difference feature calculation processing on each type of measurement sequence of the physiological parameter information set and the corresponding standard value, to obtain a difference sequence of the corresponding type;

[0123] S23, performing a first feedback calculation process on all types of difference sequences to obtain a magnetic field intensity feedback value;

[0124] S24, constructing a difference matrix using all types of difference sequences;

[0125] S25, performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value;

[0126] The expression for the difference feature calculation process is:

[0127]

[0128] Among them, p i is the i-th element of a measurement sequence, u is the corresponding standard value of a measurement sequence, Z i is the i-th element of the difference sequence of the corresponding type of a type of measurement sequence.

[0129] The first feedback calculation process includes:

[0130] Perform fusion calculation processing on the elements of each moment of all types of difference sequences to obtain the fusion value at the moment, θ k is the fusion value at time k;

[0131] The expression of the fusion calculation process is:

[0132]

[0133] Among them, L j () represents the j-order Laguerre polynomial, A jk is the element of the j-th type difference sequence at the kth moment, and J is the total number of types of difference sequences;

[0134] Feedback estimation processing is performed on the fusion value at each moment to obtain the magnetic field strength feedback value at each moment; the expression of the feedback estimation processing is:

[0135]

[0136] Among them, me k is the magnetic field strength feedback value at k moments, c0, c1, c2 are preset multiplication factors, and the values ​​can be 1.2, 0.8, 0.9;

[0137] The performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value includes:

[0138] S251, performing eigenvalue solving processing on the difference matrix X to obtain the maximum eigenvalue λ max ;

[0139] S252, performing frequency domain transformation on each row vector of the difference matrix to obtain a frequency domain matrix Y;

[0140] S253, constructing a feature recognition model using the frequency domain matrix and the difference matrix;

[0141] The expression of the feature recognition model is:

[0142] X′=cX,Y′=vY,

[0143] Wherein, cov(X′,Y′) is the correlation value of the first fusion vector and the second fusion vector, X is the difference matrix, X′ is the first fusion vector, Y′ is the first fusion vector, c and v are the first transformation vector and the second transformation vector respectively, c0 and v0 are the solution results of c and v respectively;

[0144] S254, solving the feature recognition model to obtain a solution result of the first transformation vector and a solution result of the second transformation vector;

[0145] S255, performing vector dot multiplication on the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a vibration intensity feedback value;

[0146] S256, adding the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a fused variable vector;

[0147] S257, determining the sequence number value of the largest element in the fused variable vector, which is N1;

[0148] S258, determine N1×f0 as the vibration frequency feedback value, f0 is a preset reference frequency, and its value may be 200 Hz.

[0149] The feature recognition model can be solved by using a genetic algorithm;

[0150] The frequency domain transformation can be realized by using FFT algorithm;

[0151] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A composite treatment device for ankle joint, characterized in that: include: Therapeutic shoes, magnetic therapy components, vibration massage components, physiological parameter collection components, control components, data processing components; The magnetic therapy component and the vibration massage component are respectively installed on the therapeutic shoes; The therapeutic shoe is an ankle-wrapping structure that fits the user's ankle joint and surrounding area closely, providing support and wrapping for the user's ankle joint; The magnetic therapy component includes a plurality of permanent magnets, which are evenly distributed in the surrounding area corresponding to the ankle joint of the therapeutic shoe; the magnetic field strength of the magnetic therapy component is determined according to the control signal of the control component; The vibration massage component is arranged in the therapeutic shoe and includes a plurality of micro vibration motors. The micro vibration motors determine the vibration frequency and vibration intensity according to the control signal of the control component to massage the ankle joint and surrounding soft tissue of the user; The control component is connected to the magnetic therapy component and the vibration massage component respectively, and is used to control the magnetic field strength of the magnetic therapy component according to a preset magnetic field strength, and control the vibration frequency and vibration intensity of the vibration massage component according to a preset vibration frequency and vibration intensity; receive various feedback values, adjust the preset magnetic field strength, vibration frequency and vibration intensity; and send control signals to the vibration massage component and the magnetic therapy component; The physiological parameter collection component is used to collect a set of physiological parameter information of the user; The data processing component is connected to the physiological parameter acquisition component and the control component respectively, and is used to perform feedback analysis and processing on the user's physiological parameter information set to generate a magnetic field strength feedback value, a vibration frequency feedback value and a vibration intensity feedback value.

2. The composite treatment device for ankle joint according to claim 1, characterized in that: The physiological parameter acquisition component includes: a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and an information acquisition module; The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user; The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user; The pulse sensor is used to measure and obtain a pulse measurement sequence of the user; The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user; The information acquisition module is connected to the body temperature sensor, blood pressure sensor, pulse sensor, and blood oxygen saturation sensor respectively, and is used to pre-process the various measurement sequences acquired to obtain a physiological parameter information set; the physiological parameter information set includes a body temperature measurement sequence, a blood pressure measurement sequence, a pulse measurement sequence, and a blood oxygen saturation measurement sequence.

3. The composite treatment device for ankle joint according to claim 2, characterized in that: The data processing component performs feedback analysis on the user physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value, including: The data processing component obtains a standard physiological parameter set; the standard physiological parameter set includes a standard value of body temperature, a standard value of blood pressure, a standard value of pulse and a standard value of blood oxygen saturation; For each type of measurement sequence of the physiological parameter information set, respectively, difference feature calculation processing is performed with the corresponding standard value to obtain a difference sequence of the corresponding type; Performing a first feedback calculation process on all types of difference sequences to obtain a magnetic field intensity feedback value; Using all types of difference sequences, a difference matrix is ​​constructed; A second feedback calculation process is performed on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value.

4. A feedback method for combined treatment of ankle joints, characterized in that: The method is realized by using a composite treatment device for an ankle joint according to any one of claims 1 to 3, comprising: S1, using the physiological parameter collection component to collect a set of physiological parameter information of the user; S2, using the data processing component to perform feedback analysis on the user's physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value; S3, using the control component to control the magnetic field strength of the magnetic therapy component according to the preset magnetic field strength, and to control the vibration frequency and vibration intensity of the vibration massage component according to the preset vibration frequency and vibration intensity; receiving various feedback values, and adjusting the preset magnetic field strength, vibration frequency and vibration intensity; and sending control signals to the vibration massage component and the magnetic therapy component.

5. The feedback method for combined treatment of ankle joint according to claim 4, characterized in that: The performing feedback analysis on the user physiological parameter information set to generate a magnetic field intensity feedback value, a vibration frequency feedback value, and a vibration intensity feedback value includes: S21, obtaining a standard physiological parameter set; the standard physiological parameter set includes a standard value of body temperature, a standard value of blood pressure, a standard value of pulse, and a standard value of blood oxygen saturation; S22, performing difference feature calculation processing on each type of measurement sequence of the physiological parameter information set and the corresponding standard value, to obtain a difference sequence of the corresponding type; S23, performing a first feedback calculation process on all types of difference sequences to obtain a magnetic field intensity feedback value; S24, constructing a difference matrix using all types of difference sequences; S25, performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value.

6. The feedback method for combined treatment of ankle joint according to claim 5, characterized in that: The expression for the difference feature calculation process is: Among them, pi is the i-th element of a type of measurement sequence, u is the corresponding standard value of a type of measurement sequence, and Z i is the i-th element of the difference sequence of the corresponding type of a type of measurement sequence.

7. The feedback method for combined treatment of ankle joints as claimed in claim 5, characterized in that: The first feedback calculation process includes: Perform fusion calculation processing on the elements of each moment of all types of difference sequences to obtain the fusion value at the moment, θ k is the fusion value at time k; Feedback estimation processing is performed on the fusion value at each moment to obtain the magnetic field strength feedback value at each moment; the expression of the feedback estimation processing is: Among them, me k are the magnetic field strength feedback values ​​at k moments, and c0, c1, and c2 are preset multiplication factors.

8. The feedback method for combined treatment of ankle joint according to claim 7, characterized in that: The expression of the fusion calculation process is: Among them, L j () represents the j-order Laguerre polynomial, A jk is the element of the j-th type difference sequence at the kth moment, and J is the total number of types of difference sequences.

9. The feedback method for combined treatment of ankle joints according to claim 5, characterized in that: The performing a second feedback calculation process on the difference matrix to obtain a vibration frequency feedback value and a vibration intensity feedback value includes: S251, performing eigenvalue solving processing on the difference matrix X to obtain the maximum eigenvalue λ max ; S252, performing frequency domain transformation on each row vector of the difference matrix to obtain a frequency domain matrix Y; S253, constructing a feature recognition model using the frequency domain matrix and the difference matrix; S254, solving the feature recognition model to obtain a solution result of the first transformation vector and a solution result of the second transformation vector; S255, performing vector dot multiplication on the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a vibration intensity feedback value; S256, adding the solution result of the first transformation vector and the solution result of the second transformation vector to obtain a fused variable vector; S257, determining the sequence number value of the largest element in the fused variable vector, which is N1; S258, determining N1×f0 as the vibration frequency feedback value, f0 as the preset reference frequency.

10. The feedback method for combined treatment of ankle joints according to claim 9, characterized in that: The expression of the feature recognition model is: Among them, cov(X′,Y′) is the correlation value of the first fusion vector and the second fusion vector, X is the difference matrix, X′ is the first fusion vector, Y′ is the first fusion vector, c and v are the first transformation vector and the second transformation vector respectively, and c0 and v0 are the solution results of c and v respectively.

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