A limb fusion treatment device and a signal control method

Abstract

The present invention discloses a limb fusion treatment device and a signal control method. The device includes: a graphene conductive layer, a physiological information acquisition component, a magnetic therapy component, and a control component; the graphene conductive layer is attached to the user's leg; the magnetic therapy component includes a plurality of permanent magnets, and the permanent magnets are evenly distributed on the graphene conductive layer and are used to generate a magnetic field acting on the user's leg area; the physiological information acquisition component is used to collect a set of user's physiological parameter information; the control component is respectively connected to the physiological information acquisition component and the magnetic therapy component, and is used to perform feedback analysis and processing on the set of user's physiological parameter information and the magnetic field intensity sequence, generate a magnetic field intensity feedback value; generate a control signal according to the magnetic field intensity feedback value; and collect the magnetic field intensity sequence of the magnetic therapy component.

Description

Technical Field

[0001] The present invention relates to the fields of medical devices and data processing, and particularly 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, surgical treatment, etc. As a non-invasive treatment method, magnetic therapy has been widely used in limb rehabilitation. By acting on the human body with a magnetic field, it promotes blood circulation and accelerates the rehabilitation process. However, the effect of single magnetic therapy is limited, and there are differences in the effects on different users.

[0003] As a new two-dimensional material, graphene has excellent electrical, thermal and mechanical properties, and its application potential in the biomedical field has been gradually recognized and developed. The high conductivity and flexibility of graphene make it have potential application value in limb rehabilitation treatment.

[0004] How to effectively combine graphene materials with magnetic therapy methods to improve the limb treatment effect of users is a problem that needs to be solved currently. 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 limb treatment effect of users, and discloses a limb fusion treatment device and a signal control method.

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

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

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

[0009] The physiological information acquisition component is used to acquire a set of user's physiological parameter information;

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

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

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

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

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

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

[0016] The information acquisition module is respectively connected to the body temperature sensor, the blood pressure sensor, the pulse sensor, and the blood oxygen saturation sensor, and is used to perform pre-processing on various measurement sequences collected 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 processing 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 body temperature standard value, a blood pressure standard value, a pulse standard value, and a blood oxygen saturation standard value;

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

[0020] For each type of measurement sequence in the physiological parameter information set, calculate the difference feature with the corresponding standard value respectively to obtain the difference sequence of the corresponding type;

[0021] For each type of difference sequence, with the difference sequence as the dependent variable and the magnetic field strength sequence as the independent variable, perform function fitting processing on the dependent variable and the independent variable to obtain the fitting function corresponding to the type;

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

[0023] Use the weight values corresponding to all types to perform weighted summation processing with the corresponding fitting functions to obtain a total fitting function;

[0024] Taking the magnetic field strength sequence as the independent variable value, calculate the corresponding total fitting function value; find the independent variable value when the total fitting function value is the smallest, which is the magnetic field strength feedback value.

[0025] In a second aspect of the embodiments of the present invention, a signal control method for a limb fusion treatment device is disclosed, which is implemented by using the limb fusion treatment device and includes:

[0026] S1. Using the physiological information acquisition component, collect the physiological parameter information set of the user;

[0027] S2. Using the control component, collect the magnetic field intensity sequence of the magnetic therapy component;

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

[0029] The step of using the control component to perform feedback analysis processing on the user physiological parameter information set and the magnetic field intensity sequence to generate a magnetic field intensity feedback value includes:

[0030] S31. Obtain a standard physiological parameter set; the standard physiological parameter set includes a body temperature standard value, a blood pressure standard value, a pulse standard value, and a blood oxygen saturation standard value;

[0031] S32. Perform time alignment processing on the magnetic field intensity sequence and the physiological parameter information set;

[0032] S33. For each type of measurement sequence in the physiological parameter information set, perform difference feature calculation processing with the corresponding standard value to obtain a difference sequence of the corresponding type;

[0033] S34. For each type of difference sequence, with the difference sequence as the dependent variable and the magnetic field intensity sequence as the independent variable, perform function fitting processing on the dependent variable and the independent variable to obtain a fitting function corresponding to the type;

[0034] S35. Perform type weight calculation processing on each type of difference sequence and the magnetic field intensity sequence to obtain a weight value corresponding to the type;

[0035] S36. Use the weight values corresponding to all types to perform weighted summation processing with the corresponding fitting functions to obtain a total fitting function;

[0036] S37. With the magnetic field intensity sequence as the independent variable value, calculate the corresponding total fitting function value; find the independent variable value when the total fitting function value is the smallest, which is the magnetic field intensity feedback value.

[0037] The expression of the difference feature calculation processing is:

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

[0039] where 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, and x i is the i-th item of the type of difference sequence.

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

[0041]

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

[0043] In the third aspect of the embodiments of the present invention, a signal control device is disclosed, and the device includes:

[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 described above.

[0047] In the fourth aspect of the embodiments of the present invention, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the signal control method described above.

[0048] In the fifth aspect of the embodiments of the present invention, an information data processing terminal is disclosed, and the information data processing terminal is used to implement the signal control method described above.

[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 rehabilitation process, and improve the treatment effect by combining the electrical conductivity of graphene and magnetic therapy.

[0051] In the present invention, a conductive layer made of graphene material is attached to the user's leg. By utilizing the electrical conductivity of graphene, low-frequency electrical stimulation is applied to promote blood circulation in the leg. At the same time, a magnetic therapy component is used to perform magnetic therapy on the leg, and the magnetic field generated by the magnetic therapy instrument interacts with the graphene conductive layer to enhance the magnetic therapy effect.

[0052] In the process of the present invention for performing feedback analysis and processing on the user's physiological parameter information set and the magnetic field intensity sequence to generate a magnetic field intensity feedback value, a quantization relationship model between the magnetic field and the limb treatment effect is established with the difference sequence between the user's physiological measurement sequence and the standard sequence as the optimization target. By solving for the independent variable value that minimizes the optimization target, the magnetic field intensity feedback value is obtained, achieving the optimization of the treatment effect.

[0053] In the process of constructing the difference sequence of the present invention, a difference feature calculation and processing algorithm is specifically constructed to effectively extract the difference features and suppress irrelevant and noise quantities. Description of the Drawings

[0054] Figure 1 is the implementation flowchart of the method of the present invention;

[0055] Figure 2 is the block diagram of the composition of the device of the present invention. Detailed Embodiment

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

[0057] Figure 1 is the implementation flowchart of the method of the present invention. Figure 2 is the block diagram of the composition of the device of the present invention.

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

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

[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 user's leg area; the magnetic field intensity of the magnetic therapy component is determined according to the control signal of the control component;

[0061] The physiological information acquisition component is used to acquire a set of user's physiological parameter information;

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

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

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

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

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

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

[0068] The information acquisition module is respectively connected to the body temperature sensor, the blood pressure sensor, the pulse sensor, and the blood oxygen saturation sensor, and is used to perform pre-processing on various measurement sequences collected to obtain a set of physiological parameter information; the set of physiological parameter information 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 processing on the set of user physiological parameter information and the magnetic field strength sequence to generate a magnetic field strength feedback value, including:

[0070] Obtain a standard set of physiological parameters; the standard set of physiological parameters includes a standard body temperature value, a standard blood pressure value, a standard pulse value, and a standard blood oxygen saturation value;

[0071] Perform time alignment processing on the magnetic field strength sequence and the set of physiological parameter information;

[0072] For each type of measurement sequence in the set of physiological parameter information, calculate the difference feature with the corresponding standard value respectively to obtain a difference sequence of the corresponding type;

[0073] For each type of difference sequence, using the difference sequence as the dependent variable and the magnetic field strength sequence as the independent variable, perform function fitting processing on the dependent variable and the independent variable to obtain a fitting function corresponding to the type;

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

[0075] Use the weight values corresponding to all types to perform weighted summation processing with the corresponding fitting functions to obtain a total fitting function;

[0076] Taking the magnetic field strength sequence as the independent variable value, calculate the corresponding total fitting function value; find the independent variable value when the total fitting function value is the smallest, which is the magnetic field strength feedback value.

[0077] The expression of the difference feature calculation processing is:

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

[0079] where z i is the i-th term of a difference sequence of a certain type, z0 is the standard value corresponding to the measurement sequence of said type, η is a preset constant value, which can be 0.8, x i is the i-th term of the difference sequence of said type;

[0080] The expression for the calculation and processing of the weight of said type is:

[0081]

[0082] where B i is the i-th term of the magnetic field intensity sequence, N is the total number of elements of the difference sequence, and h is the weight value of said type.

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

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

[0085] The function fitting processing can adopt polynomial fitting processing.

[0086] In the second aspect of the embodiments of the present invention, a signal control method for a limb fusion treatment device is disclosed, which is implemented by using the limb fusion treatment device, and includes:

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

[0088] S2, using the control component to collect a magnetic field intensity sequence of the magnetic therapy component;

[0089] S3, using the control component to perform feedback analysis processing on the set of user's physiological parameter information 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;

[0090] The using the control component to perform feedback analysis processing on the set of user's physiological parameter information and the magnetic field intensity sequence to generate a magnetic field intensity feedback value includes:

[0091] S31, obtaining a set of standard physiological parameters; the set of standard physiological parameters includes a body temperature standard value, a blood pressure standard value, a pulse standard value, and a blood oxygen saturation standard value;

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

[0093] S33. For each type of measurement sequence in the physiological parameter information set, calculate the difference feature with respect to the corresponding standard value respectively to obtain the difference sequence of the corresponding type;

[0094] S34. For each type of difference sequence, use the difference sequence as the dependent variable and the magnetic field intensity sequence as the independent variable, and perform function fitting processing on the dependent variable and the independent variable to obtain the fitting function corresponding to the type;

[0095] S35. Perform type weight calculation processing on each type of difference sequence and magnetic field intensity sequence to obtain the weight value corresponding to the type;

[0096] S36. Use the weight values corresponding to all types, and perform weighted summation processing with the corresponding fitting functions to obtain the total fitting function;

[0097] S37. Use the magnetic field intensity sequence as the independent variable value, calculate the corresponding total fitting function value; find the independent variable value when the total fitting function value is the smallest, which is the magnetic field intensity feedback value.

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

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

[0100] where 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, which can be 0.8, and x i is the i-th item of the difference sequence of the type;

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

[0102]

[0103] where B i is the i-th item of the magnetic field intensity 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 intensity is calculated using Maxwell's equations based on the current value of the wire connecting the control component and the magnetic therapy component, or measured using a magnetic sensor;

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

[0106] The function fitting process can adopt polynomial fitting processing.

[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] In the third aspect of the implementation of the present invention, a signal control device is disclosed. The device includes:

[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 described above.

[0112] In the fourth aspect of the implementation of the present invention, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, which are used to execute the signal control method when called by a computer.

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

[0114] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A limb fusion treatment device, characterized in that, Comprising: A graphene conductive layer, a magnetic therapy component, a physiological information acquisition component, and a control component; The graphene conductive layer is attached to the user's leg; 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 user's leg area; the magnetic field intensity of the magnetic therapy component is determined according to the control signal of the control component; The physiological information acquisition component is used to acquire a set of physiological parameter information of the user; The control component is respectively connected to the physiological information acquisition component and the magnetic therapy component, and is used to perform feedback analysis and processing on the set of user physiological parameter information and the magnetic field intensity sequence to generate a magnetic field intensity feedback value; Generate a control signal according to the magnetic field intensity feedback value; Acquire the magnetic field intensity sequence of the magnetic therapy component; The physiological information 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 the body temperature measurement sequence of the user; The blood pressure sensor is used to measure the blood pressure measurement sequence of the user; The pulse sensor is used to measure the pulse measurement sequence of the user; The blood oxygen saturation sensor is used to measure the blood oxygen saturation measurement sequence of the user; The information acquisition module is respectively connected to the body temperature sensor, the blood pressure sensor, the pulse sensor, and the blood oxygen saturation sensor, and is used to perform pre-processing on the various measurement sequences acquired to obtain a set of physiological parameter information; the set of physiological parameter information includes a body temperature measurement sequence, a blood pressure measurement sequence, a pulse measurement sequence, and a blood oxygen saturation measurement sequence; The control component performs feedback analysis and processing on the set of user physiological parameter information and the magnetic field intensity sequence to generate a magnetic field intensity feedback value, including: The control component obtains a set of standard physiological parameters; the set of standard physiological parameters includes a body temperature standard value, a blood pressure standard value, a pulse standard value, and a blood oxygen saturation standard value; Perform time alignment processing on the magnetic field intensity sequence and the set of physiological parameter information; For each type of measurement sequence in the set of physiological parameter information, perform difference feature calculation processing with the corresponding standard value to obtain a difference sequence of the corresponding type; For each type of difference sequence, with the difference sequence as the dependent variable and the magnetic field intensity sequence as the independent variable, perform function fitting processing on the dependent variable and the independent variable to obtain the fitting function corresponding to the type; Perform type weight calculation processing on each type of difference sequence and the magnetic field intensity sequence to obtain the weight value corresponding to the type; Use the weight values corresponding to all types to perform weighted summation processing with the corresponding fitting functions to obtain a total fitting function; Taking the magnetic field intensity sequence as the independent variable value, calculate the corresponding total fitting function value; find the independent variable value when the total fitting function value is the smallest, which is the magnetic field intensity feedback value.

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