CN115089874A - Self-adaptive micro-current electrotherapy system based on brain wave feedback - Google Patents

Abstract

The invention discloses a self-adaptive micro-current electrotherapy system based on brain wave feedback, which comprises: the micro-control circuit module is used for outputting stable current; the electrotherapy channel module is used for carrying out electrotherapy on the biological tissue based on the stable current to obtain brain wave parameters; and the self-adaptive feedback module is used for constructing a bionic electrical neurophysiological signal based on the brain wave database and the neurophysiological signal characteristics, and carrying out self-adaptive adjustment on the brain wave parameters based on the bionic electrical neurophysiological signal. Through the technical scheme, the micro-current therapeutic device can output stable current, the stable current can act on a human body, and the stable micro-current can be input into the human body under the condition of unstable human body impedance, so that the therapeutic effect is ensured.

Description

Self-adaptive micro-current electrotherapy system based on brain wave feedback

Technical Field

The invention belongs to the field of medical electrotherapy, and particularly relates to a self-adaptive micro-current electrotherapy system based on brain wave feedback.

Background

Electrotherapy is a new treatment modality that has emerged in recent years. The method is a method for treating diseases by utilizing electric energy to act on a human body to help a patient to recover health. However, the human body is a complex electric conductor and can be influenced by the humidity and temperature of the environment to change, and how the human body impedance can output stable current to act on the human body under the condition of a continuously changing impedance, when the electric stimulation is carried out, the tiny neuron structure in the human body is mainly influenced, and the excitation degree of the neuron is changed through the influence on the nerve tissue, so that the treatment purpose is achieved. Therefore, how to ensure the stability and the continuous maintenance of the output micro-current within a certain range during the electrotherapy is an important issue to be solved by the electrotherapy technology.

Electrotherapy, like other treatments, has complications. Common complications are mainly headache, nausea, vomiting and reversible memory decline. The incidence of memory decline is high and foreign studies have found that at least 1/3 patients show significant memory decline after receiving electrotherapy. However, it is generally accepted that the effects of electroconvulsive therapy on memory are limited and often only temporary, and clinically these symptoms generally improve themselves without treatment after treatment. Modern electrotherapy has not only the above side effects, but also a few disadvantages, such as that a large current is applied to certain parts of the human body for a short time due to the impedance change of the human body, which may cause irreversible damage or pain to the human body. Practice proves that the stable micro-current is relatively safe for human bodies. Therefore, how to ensure that the electrotherapy device smoothly outputs controllable micro-current in the electrotherapy process is a fundamental measure for ensuring the safety and comfort of electrotherapy.

The biggest difficulty in achieving smooth output of current is that the impedance of the human body varies greatly due to various factors from time to time, which poses a great challenge especially to the output stability of a circuit device that needs to output a direct-current micro-current, which is very difficult to achieve in an actual electrotherapy device.

The working principle of the existing electro-therapeutic apparatus is that an electronic circuit or a microcontroller is adopted to generate a current signal, such as a square wave, a triangular wave and even a complex waveform, then a current signal generated by another circuit is modulated by a pulse waveform to generate medium-high and medium-low frequency waves, namely therapeutic waves, which are amplified by an amplifying circuit and then output to an electrode for use, wherein the therapeutic waves are synthesized and generated, and the electro-therapeutic apparatus is characterized in that: waveform and mode solidification, biological tissue is dynamic and changeable, electrotherapy range is greatly limited, the current electrotherapy device has high dependence degree on operators, and automatic intelligent regulation degree is low.

Disclosure of Invention

The invention aims to provide an adaptive micro-current electrotherapy system based on brain wave feedback to solve the problems in the prior art.

In order to achieve the above object, the present invention provides an adaptive micro-current electrotherapy system based on brain wave feedback, comprising:

the system comprises a brain wave database, a micro control circuit module, an electrotherapy channel module and an adaptive feedback module; the micro-control circuit module is respectively connected with the electrotherapy channel module and the self-adaptive feedback module, and the brain wave database is connected with the self-adaptive feedback module;

the micro control circuit module is used for outputting stable current;

the electrotherapy channel module is used for carrying out electrotherapy on biological tissues based on the stable current to obtain brain wave parameters;

the self-adaptive feedback module constructs a bionic electrical neurophysiological signal based on the brain wave database and the neurophysiological signal characteristics, and carries out self-adaptive adjustment on the brain wave parameters based on the bionic electrical neurophysiological signal.

Preferably, the micro control circuit module includes: the device comprises a sampling device, a comparison feedback device and a micro-current output device;

the sampling device is used for sampling data of biological tissues to obtain sampling data;

the comparison feedback device is used for comparing the brain wave database with the sampling data to obtain a comparison result, and adjusting the sampling data based on the comparison result;

the micro-current output device outputs a stable current based on the adjustment result.

Preferably, the comparison feedback device adopts a comparison feedback device with high input impedance and low leakage current.

Preferably, the electrotherapy channel module includes: digital-to-analog conversion circuit, phase adjustment circuit, amplitude adjustment circuit, constant current source circuit, polarity circuit and electrotherapy output circuit.

Preferably, the constant current source circuit includes: a differential amplifier and a voltage follower.

Preferably, the electrotherapy channel module further comprises: a conductive electrode and a wireless device;

the conductive electrode is used for applying the stable current to the organism;

the wireless device is used for applying the stable current to the organism.

Preferably, the adaptive feedback module further comprises: an impedance detection unit;

the impedance detection unit is used for detecting the real-time impedance of the biological tissue, and cutting off the stable current and giving an alarm if the real-time impedance exceeds a range value; and if the real-time impedance is smaller than the range value, continuing electrotherapy.

The invention has the technical effects that: the invention outputs stable current through the micro control circuit module; the invention can output stable current which can act on human body and can input stable micro current to human body under the condition of unstable human body impedance, thus ensuring the therapeutic effect.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application, and the description of the exemplary embodiments of the application are intended to be illustrative of the application and are not intended to limit the application. In the drawings:

FIG. 1 is a schematic diagram of a system in an embodiment of the invention;

FIG. 2 is a schematic diagram of transmission paths of data signals and control signals in a circuit diagram according to an embodiment of the present invention;

FIG. 3 is a diagram illustrating the general components and control of an adaptive control system in accordance with an embodiment of the present invention;

FIG. 4 is a circuit diagram of a feedback device based on brain wave comparison according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an electrotherapy micro-electricity generation circuit in an embodiment of the present invention;

FIG. 6 is a schematic diagram of a serial-to-parallel conversion circuit according to an embodiment of the present invention;

FIG. 7 is a digital-to-analog conversion circuit diagram according to an embodiment of the present invention;

FIG. 8 is a circuit diagram of a non-inverting side adder according to an embodiment of the present invention;

FIG. 9 is a circuit diagram of a constant current source in an embodiment of the invention;

FIG. 10 is a schematic diagram of bio-impedance detection in an embodiment of the present invention;

fig. 11 is a schematic diagram of an automatic control closed-loop locking amount system according to an embodiment of the present invention.

Detailed Description

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.

Example one

As shown in fig. 1, the present embodiment provides an adaptive microcurrent electrotherapy system based on brain wave feedback, comprising: the brain wave feedback system comprises a brain wave database, a micro-control circuit module, an electrotherapy channel module and a self-adaptive feedback module; the micro-control circuit module is respectively connected with the electrotherapy channel module and the self-adaptive feedback module, and the brain wave database is connected with the self-adaptive feedback module;

the micro-control circuit module is used for outputting stable current;

the electrotherapy channel module is used for carrying out electrotherapy on the biological tissue based on the stable current to obtain brain wave parameters;

and the self-adaptive feedback module is used for constructing a bionic electrical neurophysiological signal based on the brain wave database and the neurophysiological signal characteristics, and performing self-adaptive adjustment on the brain wave parameters based on the bionic electrical neurophysiological signal.

In this embodiment, the adaptive adjustment process includes: the basic waveforms of electroencephalogram, alpha wave, beta wave and theta wave, are controlled by the main control circuit to generate the required waveforms according to actual needs, and the feedback module performs a series of processing and comparison and judgment with the target value from the bio-detected signals. When the real-time value is found not to meet the target value range, the self-adaptive adjusting module transmits instruction data such as adjustment allowance and risk alarm to the micro-current module and the electrotherapy module through the main control circuit for corresponding adjustment, so that the signal is automatically cut off when the risk is informed seriously.

In some embodiments, as shown in fig. 5, the micro control circuit module comprises: the device comprises a sampling device, a comparison feedback device and a micro-current output device; the sampling device is used for carrying out data sampling on biological tissues to obtain sampling data; the comparison feedback device is used for comparing the brain wave database with the sampling data to obtain a comparison result, and adjusting the sampling data based on the comparison result; and a micro-current output device outputting a stabilization current based on the adjustment result.

In some embodiments, the comparison feedback device employs a high input impedance and low leakage current comparison feedback device.

In some embodiments, the electrotherapy channel module includes: a serial-parallel conversion circuit, a digital-to-analog conversion circuit, a phase adjusting circuit, an amplitude adjusting circuit, a constant current source circuit, a polarity circuit and an electrotherapy output circuit.

In some embodiments, as shown in fig. 6, the serial-to-parallel conversion circuit includes: a serial-to-parallel converter and a controller.

In some embodiments, as shown in fig. 7, the digital-to-analog conversion circuit includes: a digitizer and a reference regulator.

In some embodiments, the constant current source circuit comprises: a differential amplifier and a voltage follower.

In some embodiments, the electrotherapy channel module further comprises: a conductive electrode and a wireless device; a conductive electrode for applying a stable current to the living body; a wireless device for applying a steady current to the living body.

In some embodiments, the adaptive feedback module further comprises: an impedance detection unit; the impedance detection unit is used for detecting the real-time impedance of the biological tissue, and cutting off the stable current and giving an alarm if the real-time impedance exceeds a range value; and if the real-time impedance is smaller than the range value, continuing electrotherapy.

As shown in fig. 5, the present embodiment proposes a microcurrent electrotherapy circuit having the following features: the device comprises one or more pairs of conductive electrodes which are contacted with a human body, each pair of electrodes comprises a positive electrode and a negative electrode, and the device can act on the surfaces of the oral cavity, the nasal cavity or the skin of the human body or act on certain parts of human tissues in a wireless mode.

The device needs to have a power supply, a controller, a micro-current, an output electrode and a self-adaptive feedback and protection part. The power source may be a battery or other device such as an adapter that can provide power. The power supply provides power to the controller. The controller is designed by a circuit designer to specify a chip or is built up with discrete components. The controller is used for outputting stable microampere-level direct current and sampling, comparing and feeding back human brain waves. The direct current can be designed to be adjustable in the range of "0-several mA".

The device comprises the following internal components: 1 sampling device, 2 comparing device, 3 self-adaptive mode feedback device and 4 protecting device. The functions of each part are as follows: and the sampling device samples the output current, and the device can be a high-precision sampling resistor or a sampling chip. And the comparison device is used for comparing the target electroencephalogram value with the actual output value. And differentially amplifying the sampled current. The device is characterized by high input impedance and low leakage current, so as to reduce the influence of the leakage current carried by the device on the output current. The device has one or more pairs of electrodes. Each pair of electrodes acts on the human body, and current flows from one end of each electrode to the other end of each electrode through the human body to form a loop. The other way is to treat the disease by a wireless device, avoid the contact with the body and reduce the discomfort of the human body. And the self-adaptive mode device tracks the target value and adjusts the target value correspondingly. The micro controller device can automatically perform electrotherapy on organisms for a treatment course and automatically close output after the treatment course is finished. The protective device ensures that the electrotherapy device stably outputs controllable micro-current in the electrotherapy process, which is a basic measure for ensuring the safety and comfort of electrotherapy.

The following provides a more detailed description of the present embodiments so that those skilled in the art can implement the embodiments with reference to the description.

As shown in FIG. 1, the schematic diagram of the micro-current electrotherapy system mainly comprises a power supply, a product control circuit, an adaptive feedback and an electrotherapy channel. Wherein the power source may be a battery or a power adapter capable of providing direct current. As shown in FIG. 5, the micro-control circuit is the main part of the present invention, which has the functions of outputting stable current and keeping the output current stable along with the change of human body impedance, and can automatically maintain a treatment course for the electrotherapy of living beings, and automatically turn off the output after the treatment course is completed. In addition, the utility model is responsible for the safety protection of human body. In an abnormal situation, the microcurrent output is turned off. The positive and negative electrodes may be in one or more pairs and act on the body to form a circuit.

As shown in fig. 2, the embodiment of the control circuit comprises several parts, a comparison device, a sampling data feedback device, an intelligent control device and a micro-current output device. As shown in fig. 11, the comparing means is a comparator whose input is a set output current value, which may be set manually in advance (based on the electroencephalogram database) and which may range from 0 to several milliamps. The output end of the simple core part of the comparator is provided with a high-precision sampling resistor to form the sampling device in the embodiment, and two ends of the sampling resistor are connected with two input ends of the feedback device, so that the output current and/or voltage parameters at two ends of the sampling resistor are used as the input of the feedback device, and are used as the input of the comparison device to be compared with the set output current value after being amplified, filtered, quantized, compared, judged, corrected and differentially amplified by the feedback device. The comparison device adjusts the output current according to the comparison result, so that the output current is ensured to follow the set output current value in real time, and the actual output current basically keeps stable no matter what kind of change occurs to the human body impedance. In addition, the feedback device should have a high input impedance and a low leakage current, so as to reduce the influence of the leakage current of the feedback device on the output current.

As shown in fig. 4, the brain wave comparison feedback device circuit is based on a window comparison module which is mainly used for tracking and feeding back output signal parameters and has two different thresholds, the threshold of the comparator is provided with two thresholds, one of the thresholds is based on reference brain wave data, and the other one is manually compensated. The working principle of the comparator is that the output state of the voltage between two input ends is changed when the voltage passes through zero, because the input ends are often superposed with small fluctuation voltages, the output of the comparator can be continuously changed due to the differential mode voltage generated by the fluctuation, and in order to avoid output oscillation, the novel comparator usually has the hysteresis voltage of a few mV. The comparator is adjusted to provide a very small time delay, but its frequency response is limited. To avoid output oscillation, many comparators also have internal hysteresis circuitry.

The magnification of the difference is related to the voltage which the chip can bear. The comparator compares high and low levels, and the principle here is that after the human body resistance of the output end changes, the output voltage is unchanged, the current changes, after the sampling device detects the current change, the changed current is sampled and converted into voltage, the voltage is input to the negative electrode of the comparator and compared with the level of the positive electrode (the setting end) of the comparator, and the voltage of the output end is adjusted to keep the current stable. The requirement of the process on the feedback device is high, and the response speed is fast enough.

As shown in fig. 9, the constant current source stimulation circuit can effectively generate a bidirectional constant current source stimulation circuit with adjustable stimulation current intensity and controllable stimulation pulse frequency. The constant current circuit, the former constitutes the differential amplifier, produce the appropriate steady microampere level stimulating current; the latter acts as a voltage follower for stabilization. Indexes are as follows: a) does not change due to load (output voltage) variations; b) does not change due to the change of the environmental temperature; c) the internal resistance is infinite (so that the current thereof can flow out to the outside entirely);

as shown in fig. 8, the positive phase adder circuit uses a positive phase adder and a dual operational amplifier voltage-controlled constant current circuit to generate the desired waveform. The first op-amp in fig. 8 is an inverter and the second is a non-inverting side adder. The negative phase input of the positive phase side adder is connected with the reference voltage of the DA chip, and the reference voltage of the DA chip is-5V in the design, so the reference voltage is changed into 5V after passing through the inverter.

As shown in fig. 10, the impedance detection mainly includes: impedance detection before electrical stimulation and real-time impedance detection during stimulation. When the range is exceeded, the output is immediately cut off and an alarm is given, so that the safety of stimulation is ensured.

As shown in fig. 3, the adaptive control system means that the device has self-organizing characteristics within an allowable range, and includes three basic processes: identifying dynamic characteristics of the object, and taking a decision on the basis of the identified object; and changing the system action according to the decision instruction.

Wherein the dynamic characteristics of the recognition object are: the target is a living organism or a part of a biological tissue thereof, has a time-varying characteristic, and bioelectrical phenomena of biological cells are divided into a resting potential and an action potential, and are stimulated to operate.

Taking a decision on the basis of identifying the object: when the external environment condition changes or other interference changes, the detection sensing feedback part of the self-adaptive mechanism adjusts the external environment condition or other interference to compensate the influence of the external environment or other interference on the living beings. The error performance indicator between the model and the control object is expected to reach or approach a minimum value.

And changing the system action according to the decision instruction: the design principle is that a target system consisting of a preset model and an adjustable parameter function is constructed and is regarded as one or more modules in adjustable parameters, and the target function is gradually reduced to a certain range by using effective data verified in a large statistical database and a method for instruction intervention by professionals, so that the requirement on consistency between the adjustable system and a reference model is met.

As shown in fig. 11, the adaptive control study addresses: the various uncertainties that exist externally and internally objectively in a system cause a given performance metric to exceed and remain optimal or near optimal. The numerical value obtained by sampling calculation can be used as the output value of the control model, and the observation error is obtained by comparing the numerical value with the measured value, so that the closed-loop self-adaptive model reference tracking control system based on the control regulator is realized. The rmfc (reference Module tracking control), i.e. model reference tracking control, and the amfc (adaptation Module tracking control), i.e. adaptive model tracking control, are adaptive control techniques based on electroencephalogram data conditioners. If the two are combined, the RMFC + AMFAC control, namely the adaptive model reference tracking control, can be realized.

The adaptive adjustment process specifically includes: under the control of a main control circuit in a closed-loop adaptive model reference tracking control system based on a control regulator, a feedback module autonomously samples, processes and feeds back from biological tissues in real time. When the real-time value is found not to meet the range of the target value, the self-adaptive adjusting module transmits instruction data such as the adjustment allowance and the like to the micro-current module and the electrotherapy module to perform corresponding adjustment through the main control circuit within the range of the risk level. If the risk level is high, the signal is automatically cut off when the risk level is serious.

According to the model, based on the brain wave database, the neurophysiological signal characteristics and the neurophysiological signal characteristics, the original neurophysiological signals are subjected to analog-to-digital sampling, filtering and amplification through the sensor according to the sequence from low resolution to high frequency, and are recorded and stored in the database. The artificial simulated neurophysiological signals are generated and recombined into one or more kinds of biological neurophysiological signals by using a digital circuit and an electronic circuit and referring to the voltage, the current and the frequency of the original neurophysiological signals. Constructing bionic electrophysiological signals, and assisting the tired biological tissues to recover to the active state by a bionic method. The characteristics are as follows: the automatic control system can automatically adjust the parameters of the controller to obtain satisfactory performance according to the own brain wave parameters of different objects or the change of the surrounding environment without human intervention.

The present embodiment provides an adaptive control apparatus according to an aspect, including: a controller that outputs an operation value to a control target, a parallel feedforward compensator that outputs a compensation value for compensating for a return value of a control value output from the control target based on the operation value, and an adaptive control device that outputs the operation value and performs feedback control based on a return value and a command value obtained by adding the compensation value output from the parallel feedforward compensator to the control value output from the control target; the parallel feedforward compensator includes a recognition unit that sequentially estimates a frequency response characteristic of the control target, and an adjustment unit that adjusts the compensation value based on the frequency response characteristic.

The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (8)

1. An adaptive micro-current electrotherapy system based on brain wave feedback, comprising: the brain wave feedback system comprises a brain wave database, a micro-control circuit module, an electrotherapy channel module and a self-adaptive feedback module; the micro-control circuit module is respectively connected with the electrotherapy channel module and the self-adaptive feedback module, and the brain wave database is connected with the self-adaptive feedback module;

the micro control circuit module is used for outputting stable current;

the electrotherapy channel module is used for carrying out electrotherapy on biological tissues based on the stable current to obtain brain wave parameters;

the self-adaptive feedback module constructs a bionic electrophysiological signal based on the brain wave database and the neurophysiological signal characteristics, and performs self-adaptive adjustment on the brain wave parameters based on the bionic electrophysiological signal.

2. The brain wave feedback-based adaptive micro-current electrotherapy system according to claim 1, wherein said micro-control circuit module comprises: the device comprises a sampling device, a comparison feedback device and a micro-current output device, wherein the sampling device, the comparison feedback device and the micro-current output device are sequentially connected;

the sampling device is used for sampling data of biological tissues to obtain sampling data;

the comparison feedback device is used for comparing the brain wave database with the sampling data to obtain a comparison result, and adjusting the sampling data based on the comparison result;

the micro-current output device outputs a stable current based on the adjustment result.

3. The adaptive micro-current electrotherapy system based on brain wave feedback according to claim 2, wherein said comparison feedback means employs comparison feedback means having high input impedance and low leakage current.

4. The brain wave feedback-based adaptive micro-current electrotherapy system according to claim 1, wherein said electrotherapy channel module comprises: the electrotherapy device comprises a digital-to-analog conversion circuit, a phase adjusting circuit, an amplitude adjusting circuit, a constant current source circuit, a polarity circuit and an electrotherapy output circuit, wherein the digital-to-analog conversion circuit, the phase adjusting circuit, the amplitude adjusting circuit, the constant current source circuit, the polarity circuit and the electrotherapy output circuit are connected in sequence.

5. The adaptive micro-current electrotherapy system based on brain wave feedback according to claim 4, wherein said constant current source circuit comprises: a differential amplifier and a voltage follower.

6. The brain wave feedback-based adaptive micro-current electrotherapy system according to claim 1, wherein said electrotherapy channel module further comprises: a conductive electrode and a wireless device;

the conductive electrode is used for applying the stable current to the organism;

the wireless device is used for applying the stable current to the organism.

7. The brain wave feedback-based adaptive micro-current electrotherapy system according to claim 1, wherein said adaptive feedback module comprises: the bionic construction unit and the parameter adjusting unit;

the bionic construction unit is used for constructing a bionic electrical neurophysiological signal based on the brain wave database and the neurophysiological signal characteristics;

the parameter adjusting unit is used for adaptively adjusting the brain wave parameters based on the bionic electrophysiological signals.

8. The brain wave feedback-based adaptive micro-current electrotherapy system according to claim 1, wherein said adaptive feedback module further comprises: an impedance detection unit;

the impedance detection unit is used for detecting the real-time impedance of the biological tissue, and cutting off the stable current and giving an alarm if the real-time impedance exceeds a range value; and if the real-time impedance is smaller than the range value, continuing electrotherapy.

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