Limb fusion treatment device and signal control method

Abstract

The invention discloses a limb fusion treatment device and a signal control method. The device comprises a graphene conductive layer, a physiological information acquisition assembly, a magnetic therapy assembly and a control assembly, the graphene conductive layer is attached to the legs of a user; the magnetic therapy assembly comprises a plurality of permanent magnets, and the permanent magnets are uniformly distributed on the graphene conducting layer and used for generating a magnetic field acting on the leg area of the user; the physiological information acquisition assembly is used for acquiring a physiological parameter information set of a user; the control assembly is respectively connected with the physiological information acquisition assembly and the magnetic therapy assembly, and is used for carrying out feedback analysis processing on the user physiological parameter information set and the magnetic field intensity sequence to generate a magnetic field intensity feedback value; generating a control signal according to the magnetic field intensity feedback value; and acquiring a magnetic field intensity sequence of the magnetic therapy assembly.

Description

Technical Field

[0001] The present invention relates to the fields of medical equipment and data processing, and in particular to a limb fusion treatment device and a signal control method. Background Art

[0002] Existing limb rehabilitation treatment methods mainly include physical therapy, drug therapy and surgical treatment. Magnetic therapy, as a non-invasive treatment method, has been widely used in limb rehabilitation. It acts on the human body through magnetic fields to promote blood circulation and accelerate the recovery process. However, the effect of single magnetic therapy is limited, and the effect varies for different users.

[0003] As a new type of two-dimensional material, graphene has excellent electrical, thermal and mechanical properties, and its potential for application in the biomedical field is gradually being recognized and developed. The high conductivity and flexibility of graphene make it potentially useful in limb rehabilitation therapy.

[0004] How to effectively combine graphene materials with magnetic therapy methods to improve the effect of limb treatment for users is a problem that needs to be solved at present. Summary of the invention

[0005] The present invention mainly solves the problem of how to effectively combine graphene materials with magnetic therapy methods to improve the effect of limb treatment for users. The present invention discloses a limb fusion treatment device and a signal control method.

[0006] In a first aspect of an embodiment of the present invention, a limb fusion treatment device is disclosed, comprising: a graphene conductive layer, a physiological information collection component, a magnetic therapy component, and a control component;

[0007] The graphene conductive layer is attached to the user's legs;

[0008] The magnetic therapy component includes a plurality of permanent magnets, which are evenly distributed on the graphene conductive layer and are used to generate a magnetic field acting on the leg area of ​​the user; the magnetic field strength of the magnetic therapy component is determined according to the control signal of the control component;

[0009] The physiological information collection component is used to collect a set of physiological parameter information of the user;

[0010] The control component is connected to the physiological information acquisition component and the magnetic therapy component respectively, and is used to perform feedback analysis and processing on the user's physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value; generate a control signal based on the magnetic field strength feedback value; and acquire the magnetic field strength sequence of the magnetic therapy component.

[0011] The physiological information collection component includes: a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and an information collection module;

[0012] The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user;

[0013] The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user;

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

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

[0016] 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.

[0017] The control component performs feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value, including:

[0018] The control 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;

[0019] Performing time alignment processing on the magnetic field intensity sequence and the physiological parameter information set;

[0020] 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;

[0021] For each type of difference sequence, the difference sequence is used as a dependent variable, and the magnetic field intensity sequence is used as an independent variable, and function fitting processing is performed on the dependent variable and the independent variable to obtain a fitting function corresponding to the type;

[0022] Performing type weight calculation processing on the difference sequence and magnetic field strength sequence of each type to obtain a weight value corresponding to the type;

[0023] The weight values ​​corresponding to all types are used to perform weighted summation with the corresponding fitting functions to obtain the total fitting function;

[0024] The magnetic field intensity sequence is used as the independent variable value to calculate the corresponding total fitting function value; the independent variable value when the total fitting function value is the smallest is found as the magnetic field intensity feedback value.

[0025] A second aspect of an embodiment of the present invention discloses a signal control method for a limb fusion treatment device, which is implemented using the limb fusion treatment device, and includes:

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

[0027] S2, using the control component to collect and obtain the magnetic field strength sequence of the magnetic therapy component;

[0028] S3, using the control component to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value; and generating a control signal according to the magnetic field strength feedback value.

[0029] The method of utilizing the control component to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value includes:

[0030] S31, 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] S32, performing time alignment processing on the magnetic field intensity sequence and the physiological parameter information set;

[0032] S33, 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;

[0033] S34, for each type of difference sequence, taking the difference sequence as a dependent variable and the magnetic field intensity sequence as an independent variable, performing function fitting processing on the dependent variable and the independent variable to obtain a fitting function corresponding to the type;

[0034] S35, performing type weight calculation processing on the difference sequence and magnetic field strength sequence of each type to obtain a weight value corresponding to the type;

[0035] S36, using the weight values ​​corresponding to all types and the corresponding fitting functions to perform weighted summation processing to obtain a total fitting function;

[0036] S37, taking the magnetic field intensity sequence as the independent variable value, calculating the corresponding total fitting function value; finding the independent variable value when the total fitting function value is the minimum, which is the magnetic field intensity feedback value.

[0037] The expression for the difference feature calculation process is:

[0038] x i =|exp(zi / z0)-η| / |z i +z0|,

[0039] Among them, z i is the i-th item of a type of difference sequence, z0 is the standard value corresponding to the type of measurement sequence, η is a preset constant value, x i is the i-th item of the difference sequence of the type.

[0040] The expression for the type weight calculation process is:

[0041]

[0042] Among them, B i is the i-th item of the magnetic field strength sequence, N is the total number of elements in the difference sequence, and h is the weight value of the type.

[0043] According to a third aspect of the present invention, a signal control device is disclosed, the device comprising:

[0044] A memory storing executable program code;

[0045] a processor coupled to the memory;

[0046] The processor calls the executable program code stored in the memory to execute the signal control method.

[0047] According to a fourth aspect of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the signal control method.

[0048] According to a fifth aspect of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the signal control method.

[0049] The beneficial effects of the present invention are:

[0050] The treatment method and device of the present invention can more effectively promote blood circulation in the user's legs, accelerate the recovery process, and improve the treatment effect through the combination of graphene's conductivity and magnetic therapy.

[0051] The present invention attaches a conductive layer made of graphene material to the user's legs, utilizes the conductivity of graphene, applies low-frequency electrical stimulation, and promotes blood circulation in the legs. At the same time, a magnetic therapy component is used to perform magnetic therapy on the legs. The magnetic field generated by the magnetic therapy device interacts with the graphene conductive layer to enhance the magnetic therapy effect.

[0052] In the process of performing feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate the magnetic field strength feedback value, the present invention takes the difference sequence between the user physiological measurement sequence and the standard sequence as the optimization target, establishes a quantitative relationship model between the magnetic field and the limb treatment effect, obtains the magnetic field strength feedback value by solving the independent variable value that minimizes the optimization target, and realizes the optimization of the treatment effect.

[0053] In the process of constructing the difference sequence, the present invention specially constructs a difference feature calculation and processing algorithm, realizes the effective extraction of the difference feature, and suppresses the irrelevant amount and the noise amount. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 1 is a flow chart for implementing the method of the present invention;

[0055] Figure 2 It is a block diagram of the composition of the device of the present invention. DETAILED DESCRIPTION

[0056] In order to better understand the content of the present invention, an embodiment is given here.

[0057] Figure 1 It is a flow chart for implementing the method of the present invention. Figure 2 It is a block diagram of the composition of the device of the present invention.

[0058] In a first aspect of an embodiment of the present invention, a limb fusion treatment device is disclosed, comprising: a graphene conductive layer, a magnetic therapy component, and a control component;

[0059] The graphene conductive layer is attached to the user's legs;

[0060] The magnetic therapy component includes a plurality of permanent magnets, which are evenly distributed on the graphene conductive layer and are used to generate a magnetic field acting on the leg area of ​​the user; the magnetic field strength of the magnetic therapy component is determined according to the control signal of the control component;

[0061] The physiological information collection component is used to collect a set of physiological parameter information of the user;

[0062] The control component is connected to the physiological information acquisition component and the magnetic therapy component respectively, and is used to perform feedback analysis and processing on the user's physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value; generate a control signal based on the magnetic field strength feedback value; and acquire the magnetic field strength sequence of the magnetic therapy component.

[0063] The physiological information collection component includes: a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and an information collection module;

[0064] The body temperature sensor is used to measure and obtain a body temperature measurement sequence of the user;

[0065] The blood pressure sensor is used to measure and obtain a blood pressure measurement sequence of the user;

[0066] The pulse sensor is used to measure and obtain a pulse measurement sequence of the user;

[0067] The blood oxygen saturation sensor is used to measure and obtain a blood oxygen saturation measurement sequence of the user;

[0068] 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.

[0069] The control component performs feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value, including:

[0070] 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;

[0071] Performing time alignment processing on the magnetic field intensity sequence and the physiological parameter information set;

[0072] 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;

[0073] For each type of difference sequence, the difference sequence is used as a dependent variable, and the magnetic field intensity sequence is used as an independent variable, and function fitting processing is performed on the dependent variable and the independent variable to obtain a fitting function corresponding to the type;

[0074] Performing type weight calculation processing on the difference sequence and magnetic field strength sequence of each type to obtain a weight value corresponding to the type;

[0075] The weight values ​​corresponding to all types are used to perform weighted summation with the corresponding fitting functions to obtain the total fitting function;

[0076] The magnetic field intensity sequence is used as the independent variable value to calculate the corresponding total fitting function value; the independent variable value when the total fitting function value is the smallest is found as the magnetic field intensity feedback value.

[0077] The expression for the difference feature calculation process is:

[0078] x i=|exp(z i / z0)-η| / |z i +z0|,

[0079] Among them, z i is the ith item of a type of difference sequence, z0 is the standard value corresponding to the type of measurement sequence, η is a preset constant value, which may be 0.8, x i is the i-th item of the difference sequence of the type;

[0080] The expression for the type weight calculation process is:

[0081]

[0082] Among them, B i is the i-th item of the magnetic field strength sequence, N is the total number of elements in the difference sequence, and h is the weight value of the type.

[0083] The magnetic field strength is calculated based on the current value of the wire connecting the control component and the magnetic therapy component using Maxwell's equations, or measured using a magnetic sensor;

[0084] The pre-processing includes data denoising and format unification processing;

[0085] The function fitting process may adopt polynomial fitting process.

[0086] A second aspect of an embodiment of the present invention discloses a signal control method for a limb fusion treatment device, which is implemented using the limb fusion treatment device, and includes:

[0087] S1, using the physiological information collection component to collect a set of physiological parameter information of the user;

[0088] S2, using the control component to collect and obtain the magnetic field strength sequence of the magnetic therapy component;

[0089] S3, using the control component to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value; and generating a control signal according to the magnetic field strength feedback value;

[0090] The method of utilizing the control component to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value includes:

[0091] S31, 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;

[0092] S32, performing time alignment processing on the magnetic field intensity sequence and the physiological parameter information set;

[0093] S33, 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;

[0094] S34, for each type of difference sequence, taking the difference sequence as a dependent variable and the magnetic field intensity sequence as an independent variable, performing function fitting processing on the dependent variable and the independent variable to obtain a fitting function corresponding to the type;

[0095] S35, performing type weight calculation processing on the difference sequence and magnetic field strength sequence of each type to obtain a weight value corresponding to the type;

[0096] S36, using the weight values ​​corresponding to all types and the corresponding fitting functions to perform weighted summation processing to obtain a total fitting function;

[0097] S37, taking the magnetic field intensity sequence as the independent variable value, calculating the corresponding total fitting function value; finding the independent variable value when the total fitting function value is the minimum, which is the magnetic field intensity feedback value.

[0098] The expression for the difference feature calculation process is:

[0099] x i =|exp(z i / z0)-η| / |z i +z0|,

[0100] Among them, z i is the ith item of a type of difference sequence, z0 is the standard value corresponding to the type of measurement sequence, η is a preset constant value, which may be 0.8, x i is the i-th item of the difference sequence of the type;

[0101] The expression for the type weight calculation process is:

[0102]

[0103] Among them, B i is the i-th item of the magnetic field strength sequence, N is the total number of elements in the difference sequence, and h is the weight value of the type.

[0104] The magnetic field strength is calculated based on the current value of the wire connecting the control component and the magnetic therapy component using Maxwell's equations, or measured using a magnetic sensor;

[0105] The pre-processing includes data denoising and format unification processing;

[0106] The function fitting process may adopt polynomial fitting process.

[0107] The control signal is the same as the magnetic field strength feedback value, or is obtained by multiplying the magnetic field strength feedback value by a proportional value;

[0108] According to a third aspect of the present invention, a signal control device is disclosed, the device comprising:

[0109] A memory storing executable program code;

[0110] a processor coupled to the memory;

[0111] The processor calls the executable program code stored in the memory to execute the signal control method.

[0112] According to a fourth aspect of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the signal control method.

[0113] According to a fifth aspect of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the signal control method.

[0114] 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 limb fusion treatment device, characterized in that: include: Graphene conductive layer, magnetic therapy component, physiological information collection component, control component; The graphene conductive layer is attached to the user's legs; The magnetic therapy component includes a plurality of permanent magnets, which are evenly distributed on the graphene conductive layer and are used to generate a magnetic field acting on the leg area of ​​the user; the magnetic field strength of the magnetic therapy component is determined according to the control signal of the control component; The physiological information collection component is used to collect a set of physiological parameter information of the user; The control component is connected to the physiological information collection component and the magnetic therapy component respectively, and is used to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value; generating a control signal according to the magnetic field strength feedback value; The magnetic field strength sequence of the magnetic therapy component is acquired.

2. The limb fusion treatment device according to claim 1, characterized in that: The physiological information collection component includes: a body temperature sensor, a blood pressure sensor, a pulse sensor, a blood oxygen saturation sensor and an information collection 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 limb fusion treatment device according to claim 1, characterized in that: The control component performs feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value, including: The control 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; Performing time alignment processing on the magnetic field intensity sequence and the physiological parameter information set; 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; For each type of difference sequence, the difference sequence is used as a dependent variable, and the magnetic field intensity sequence is used as an independent variable, and function fitting processing is performed on the dependent variable and the independent variable to obtain a fitting function corresponding to the type; Performing type weight calculation processing on the difference sequence and magnetic field strength sequence of each type to obtain a weight value corresponding to the type; The weight values ​​corresponding to all types are used to perform weighted summation with the corresponding fitting functions to obtain the total fitting function; The magnetic field intensity sequence is used as the independent variable value to calculate the corresponding total fitting function value; the independent variable value when the total fitting function value is the smallest is found as the magnetic field intensity feedback value.

4. A signal control method for a limb fusion treatment device, characterized in that: The method is implemented by using the limb fusion treatment device according to any one of claims 1 to 3, comprising: S1, using the physiological information collection component to collect a set of physiological parameter information of the user; S2, using the control component to collect and obtain the magnetic field strength sequence of the magnetic therapy component; S3, using the control component to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value; and generating a control signal according to the magnetic field strength feedback value.

5. The signal control method of the limb fusion treatment device according to claim 4, characterized in that: The method of utilizing the control component to perform feedback analysis on the user physiological parameter information set and the magnetic field strength sequence to generate a magnetic field strength feedback value includes: S31, 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; S32, performing time alignment processing on the magnetic field intensity sequence and the physiological parameter information set; S33, 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; S34, for each type of difference sequence, taking the difference sequence as a dependent variable and the magnetic field intensity sequence as an independent variable, performing function fitting processing on the dependent variable and the independent variable to obtain a fitting function corresponding to the type; S35, performing type weight calculation processing on the difference sequence and magnetic field strength sequence of each type to obtain a weight value corresponding to the type; S36, using the weight values ​​corresponding to all types and the corresponding fitting functions to perform weighted summation processing to obtain a total fitting function; S37, taking the magnetic field intensity sequence as the independent variable value, calculating the corresponding total fitting function value; finding the independent variable value when the total fitting function value is the minimum, which is the magnetic field intensity feedback value.

6. The signal control method of the limb fusion treatment device according to claim 5, characterized in that: The expression for the difference feature calculation process is: x i =|exp(z i / z0)-η| / |z i +z0|, Among them, z i is the i-th item of a type of difference sequence, z0 is the standard value corresponding to the type of measurement sequence, η is a preset constant value, x i is the i-th item of the difference sequence of the type.

7. The signal control method of the limb fusion treatment device according to claim 6, characterized in that: The expression for the type weight calculation process is: Among them, B i is the i-th item of the magnetic field strength sequence, N is the total number of elements in the difference sequence, and h is the weight value of the type.

8. A signal control device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the signal control method according to any one of claims 4 to 7.

9. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the signal control method according to any one of claims 4 to 7.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the signal control method according to any one of claims 4 to 7.

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