Disclosure of Invention
The invention aims to provide an adaptive micro-current electrotherapy system based on brain wave feedback, which solves the problems in the prior art.
In order to achieve the above object, the present invention provides an adaptive microcurrent electrotherapy system based on brain wave feedback, comprising:
the brain wave system comprises a brain wave database, a micro control circuit module, an electrotherapy channel module and a self-adaptive feedback module, wherein 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 carries out electrotherapy on biological tissues based on the stable current to obtain brain wave parameters;
The self-adaptive feedback module constructs a bionic electric nerve physiological signal based on the brain wave database and the nerve physiological signal characteristics, and carries out self-adaptive adjustment on brain wave parameters based on the bionic electric nerve physiological signal.
Preferably, the micro control circuit module 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;
the micro-current output device outputs a stabilizing 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 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.
Preferably, the constant current source circuit comprises 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 stabilizing current to the organism;
The wireless device is configured to apply the stabilizing 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, cutting off the stable current and alarming if the real-time impedance exceeds a range value, and continuing electrotherapy if the real-time impedance is smaller than the range value.
The invention has the technical effects that the invention outputs stable current through the micro-control circuit module, carries out electrotherapy on biological tissues through the electrotherapy channel module, carries out self-adaptive adjustment on brain wave parameters through the self-adaptive feedback module, can output the stable current, can act on a human body, can input the stable micro-current into the human body under the condition of unstable human body impedance, and ensures the treatment effect.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
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 other than that illustrated herein.
Example 1
As shown in FIG. 1, the embodiment provides a brain wave feedback-based adaptive micro-current electrotherapy system, which comprises a brain wave database, a micro-control circuit module, an electrotherapy channel module and an adaptive feedback module, wherein the micro-control circuit module is respectively connected with the electrotherapy channel module and the adaptive feedback module, and the brain wave database is connected with the adaptive feedback module;
the micro control circuit module is used for outputting stable current;
The electrotherapy channel module is used for electrotherapy on biological tissues based on the stable current to obtain brain wave parameters;
And the self-adaptive feedback module is used for constructing a bionic electric nerve physiological signal based on the brain wave database and the nerve physiological signal characteristics and carrying out self-adaptive adjustment on brain wave parameters based on the bionic electric nerve physiological signal.
In the embodiment, the self-adaptive adjusting process comprises the steps of generating required waveforms according to actual needs under the leading of a main control circuit, performing a series of processing and target value comparison and judgment on signals detected by organisms by a feedback module, wherein the basic waveforms comprise alpha waves, beta waves and theta waves of an electroencephalogram. When the real-time value does not meet the target value range, the self-adaptive adjusting module transmits instruction data such as adjustment allowance, risk alarm and the like to the micro-current module and the electrotherapy module to carry out corresponding adjustment, the risk is informed, and the signal is automatically cut off when the risk is serious.
In some embodiments, as shown in fig. 5, the micro-control circuit module comprises a sampling device, a comparison feedback device and a micro-current output device, wherein the sampling device is used for sampling data of biological tissues to obtain sampling data, the comparison feedback device is used for comparing an brain wave database with the sampling data to obtain a comparison result, the sampling data is regulated based on the comparison result, and the micro-current output device is used for outputting stable current based on the regulation 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 serial-to-parallel circuitry, digital-to-analog circuitry, phase adjustment circuitry, amplitude adjustment circuitry, constant current source circuitry, polarity circuitry, and electrotherapy output circuitry.
In some embodiments, as shown in FIG. 6, the serial-to-parallel 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 regulated voltage source.
In some embodiments, the constant current source circuit includes a differential amplifier and a voltage follower.
In some embodiments, the electrotherapy channel module also includes a conductive electrode for applying a stabilization current to the living being and a wireless device for applying a stabilization current to the living being.
In some embodiments, the adaptive feedback module further comprises an impedance detection unit, wherein the impedance detection unit is used for detecting real-time impedance of the biological tissue, cutting off stable current and alarming if the real-time impedance exceeds a range value, and continuing electrotherapy if the real-time impedance is smaller than the range value.
As shown in fig. 5, the present embodiment provides a microcurrent electrotherapy circuit, which has the following characteristics that ① current-stabilizing ② direct current ③ current is of microampere level, the device comprises one or more pairs of conductive electrodes which are in contact with a human body, each pair of electrodes comprises a positive electrode and a negative electrode, and the device can act on the oral cavity, the nasal cavity or the skin surface of the human body or act on a certain part of human tissue in a wireless mode.
The device needs a power supply, a controller, micro-current, an output electrode, self-adaptive feedback and protection. The power source may be a battery or other device such as an adapter that may provide electrical power. The power supply provides power to the controller. The controller is built with a chip designated by the circuit designer or with discrete components. The controller outputs stable microampere-level direct current to sample, compare and feed back human brain waves. The direct current can be designed to be tunable in the range of "0-several mA".
The device comprises the internal components of a sampling device 1, a comparison device 2, a self-adaptive mode feedback device 3 and a protection device 4. The sampling device is used for sampling 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 brain wave value with the actual output value. The sampled current is differentially amplified. The device is characterized by high input impedance and low leakage current so as to reduce the influence of the leakage current of 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 the electrodes to the other end of the electrodes through the human body to form a loop. The other mode is to treat by a wireless device, avoid contacting with the body and reduce the discomfort of the human body. And the self-adaptive mode device is used for tracking the target value and correspondingly adjusting the target value. The micro controller device can automatically perform electrical rehabilitation on organisms for a treatment course, and automatically close output after the treatment is completed. The protection device ensures that the electrotherapy device stably outputs controllable micro-current in the electrotherapy process is a fundamental measure for ensuring the safety and comfort of electrotherapy.
The present embodiment is described in further detail below to enable those skilled in the art to practice the invention by referring to the description.
As shown in figure 1, the micro-current electrotherapy system is mainly composed of a power supply, a product control circuit, an adaptive feedback and electrotherapy channels. 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 a main part of the present invention, and has the functions of outputting stable current and keeping the stable output current along with the impedance change of the human body, and can automatically perform an electrical rehabilitation treatment on the living body, and automatically close the output after the completion of the electrical rehabilitation treatment. In addition, the utility model is responsible for the safety protection of human bodies. In an abnormal situation, the micro-current output is turned off. The positive and negative electrodes can be one or more pairs, and act on the human body to form a loop.
As shown in fig. 2, the embodiment of the control circuit is composed of several parts, namely a comparison device, a sampling data feedback device, an intelligent control device and a micro-current output device. As shown in fig. 11, the comparison means is a comparator whose input is a set output current value, which may be set manually in advance (according to the brain wave database), and which may range from 0 to several milliamperes. 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, two ends of the sampling resistor are connected with two input ends of the feedback device, thus the output current and/or the voltage parameters at two ends of the sampling resistor are used as the input of the feedback device, and the output current and/or the voltage parameters at two ends of the sampling resistor 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 and 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 is basically kept stable no matter what change occurs to the impedance of the human body. In addition, the feedback device should have high input impedance and 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, based on the brain wave comparison feedback device circuit, the window comparison module is mainly used for tracking and feeding back output signal parameters, and has two different thresholds, and the threshold of the comparator is provided with two thresholds, one of which is based on reference brain wave data, and the other is manually compensated. The principle of operation of a comparator is that the output state will change at zero crossing of the voltage between the two inputs, and since the inputs are often superimposed with very small fluctuating voltages, the differential mode voltages generated by these fluctuations will cause the comparator output to change continuously, and in order to avoid output oscillations, the novel comparator typically has a hysteresis voltage of a few mV. The comparator is tuned to provide a very small time delay, but its frequency response characteristics are limited. To avoid output oscillations, many comparators also have internal hysteresis circuits.
The differential amplification rate is related to the voltage that the chip can bear. The comparator compares the high level with the low level, and the principle is that after the human body resistance of the output end changes, the current changes under the condition that the output voltage is unchanged, the sampling device converts the changed current sample into the voltage after detecting the current change, the voltage is input to the negative electrode of the comparator, and the voltage of the output end is regulated by comparing the voltage with the level of the positive electrode (the setting end) of the comparator so as to keep the current stable. The process has high requirements on the feedback device and has high response speed.
As shown in fig. 9, the constant current source stimulation circuit can effectively generate the bidirectional constant current source stimulation circuit with adjustable stimulation current intensity and controllable stimulation pulse frequency. The constant current circuit, the former constitutes a differential amplifier to generate a proper stable microampere-level stimulation current, and the latter plays a role of stability as a voltage follower. The index is a) not changed by the change of load (output voltage), b) not changed by the change of ambient temperature, c) the internal resistance is infinite (so that the current can flow out completely);
as shown in fig. 8, the positive phase side adder circuit adopts a positive phase side adder and a double operational amplifier voltage-controlled constant current circuit to generate the needed waveforms. The first op-amp in fig. 8 is an inverter and the second is a positive 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 DA in the design is-5V, so that 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 stimulation is out of range, the output is immediately cut off and the alarm is given, so that the safety of the stimulation is ensured.
As shown in FIG. 3, the adaptive control system refers to the fact that the device has self-organizing characteristics within an allowable range, and comprises three basic processes, namely, identifying the dynamic characteristics of an object, taking decisions on the basis of the identified object, and changing the system actions according to decision instructions.
Wherein, the object is a living organism or a part of biological tissues, has time-varying characteristics, and the bioelectric phenomenon of biological cells is divided into resting potential and action potential, and is stimulated to act.
Decisions are taken on the basis of identifying objects, which are adjusted by the detection sensory feedback part of the adaptive mechanism when the external environment conditions change or other disturbances change, so as to compensate the influence of the external environment or other disturbances on the living beings. The error performance index between the desired model and the control object reaches or approaches a minimum value.
The system action is changed according to decision instructions, namely, a target system consisting of a preset model and an adjustable parameter function is constructed according to the design principle, and is regarded as one or a plurality of modules in adjustable parameters, and the target function is gradually reduced to a certain range by using effective data verified in a large database in statistics and a professional issuing instruction intervention method, so that the consistency requirement between the adjustable system and a reference model is met.
As shown in FIG. 11, the adaptive control study addresses various uncertainties that exist objectively both externally and internally in a system, causing a given performance metric to exceed and maintain optimal or near optimal. The numerical value obtained by sampling calculation can be used as an 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. RMFC (Reference Module Following Control), model reference tracking control, AMFC (Adaption Module Following Control), adaptive model tracking control, are all adaptive control technologies based on an electroencephalogram data regulator. If the two are combined, RMFC + AMFAC control can be realized, namely, the self-adaptive model reference tracking control.
The self-adaptive regulation process specifically comprises the steps that a feedback module autonomously samples, processes and feeds back upwards from biological tissues in real time under the control of a main control circuit in a closed-loop self-adaptive model reference tracking control system based on a control regulator. When the real-time value is found to not meet the target value range, the self-adaptive adjusting module transmits instruction data such as adjustment allowance and the like to the micro-current module and the electrotherapy module to be correspondingly adjusted through the main control circuit in the risk level range. 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 and the nerve physiological signal characteristics, the original nerve physiological signal is subjected to analog-digital sampling, filtering, amplifying, recording and storing in the database according to the sequence from low resolution to high frequency through the sensor. The artificial simulated nerve physiological signal is synthesized into one or more kinds of biological nerve physiological signals by utilizing a digital-electric circuit and an electronic circuit and referring to the voltage, the current and the frequency of the original nerve physiological signal. Constructing bionic electric nerve physiological signals, and recovering the tired biological tissues to the active state by using a bionic method. The characteristic is that the automatic control system automatically adjusts the parameters of the controller to obtain satisfactory performance according to the brain wave parameters of different subjects or the change of the surrounding environment without human intervention.
The embodiment provides an adaptive control device comprising a controller for outputting an operation value to a control object, a parallel feedforward compensator for outputting a compensation value for compensating a return value of a control value output from the control object based on the operation value, and the controller outputs the operation value based on the control value output from the control object and a command value added to the compensation value output from the parallel feedforward compensator, and performs feedback control, wherein the parallel feedforward compensator includes an identification means for successively estimating a frequency response characteristic of the control object, and an adjustment means for adjusting the compensation value based on the frequency response characteristic.
The present application is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present application are intended to be included in the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.