An adaptive microcurrent electrotherapy system based on brain wave feedback

Abstract

The present invention discloses an adaptive microcurrent electrotherapy system based on brain wave feedback, comprising: a microcontrol circuit module for outputting a stable current; an electrotherapy channel module for electrotherapy of biological tissues based on the stable current to obtain brain wave parameters; an adaptive feedback module for constructing a bionic electro-neuro-physiological signal based on the brain wave database and neuro-physiological signal characteristics, and adaptively adjusting the brain wave parameters based on the bionic electro-neuro-physiological signal. Through the above technical scheme, the present invention can output a stable current, which can act on the human body, and in the case of unstable human body impedance, a stable microcurrent can be input into the human body, thereby ensuring the therapeutic effect.

Description

Technical Field

[0001] The invention belongs to the field of medical electrotherapy, and in particular relates to an adaptive micro-current electrotherapy system based on brain wave feedback. Background Art

[0002] Electrotherapy is a new treatment option that has emerged in recent years. It is a method of using electrical energy to act on the human body to treat diseases and help patients recover their health by directly applying safe microcurrents to the human body in order to achieve a certain therapeutic effect. However, the human body is a complex electrical conductor that will change due to the humidity and temperature of the environment. How can a stable current be output to act on the human body when the human body impedance is in a continuously changing impedance? During electrical stimulation, it mainly affects the tiny neuron structure inside the human body, and changes the excitement level of the neurons through the influence on the nerve tissue, thereby achieving the purpose of treatment. Therefore, how to ensure the stability of the output microcurrent and keep it within a certain range during electrotherapy is an important issue to be solved by electrotherapy technology.

[0003] Electrotherapy, like other treatments, can have complications. Common complications are headache, nausea, vomiting and reversible memory loss. Memory loss occurs at a high rate. Foreign studies have found that at least 1 / 3 of patients reported significant memory loss after electrotherapy. However, it is generally believed that the effect of electroconvulsive therapy on memory is limited and usually only temporary. Clinically, these symptoms generally improve on their own after treatment without treatment. In addition to the above-mentioned side effects, modern electrotherapy has many disadvantages. For example, due to changes in the impedance of the human body, it is possible to cause a short-term high current to act on certain parts of the human body, causing irreversible damage or pain to the human body. Practice has shown that stable microcurrents are relatively safe for the human body. Therefore, how to ensure that the electrotherapy device outputs a controllable microcurrent steadily during electrotherapy is a fundamental measure to ensure the safety and comfort of electrotherapy.

[0004] The biggest difficulty in achieving stable current output is that the impedance of the human body will change greatly from time to time due to various factors. This poses a great challenge to the output stability of circuit devices that need to output DC microcurrent. It is very difficult to achieve this in actual electrotherapy devices.

[0005] The working principle of the existing electrotherapy device is to use an electronic circuit or a microcontroller to generate a current signal, such as a square wave, a triangle wave, or even a complex waveform, and then modulate the current signal generated by another circuit with a pulse waveform to generate medium, high, and low frequency waves, namely therapeutic waves, which are amplified by an amplifier circuit and output to the electrode for use. This therapeutic wave is synthesized and has the following characteristics: the waveform and pattern are solidified, while the biological tissue itself is dynamic and changeable, and the scope of electrotherapy is greatly limited. The current electrotherapy device is highly dependent on the operator and has a low degree of automatic intelligent adjustment. Summary of the invention

[0006] The purpose of the present invention is to provide an adaptive microcurrent electrotherapy system based on brain wave feedback to solve the problems existing in the above-mentioned prior art.

[0007] To achieve the above object, the present invention provides an adaptive microcurrent electrotherapy system based on brain wave feedback, comprising:

[0008] 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 connected to the electrotherapy channel module and the adaptive feedback module respectively, and the brain wave database is connected to the adaptive feedback module;

[0009] The micro-control circuit module is used to output a stable current;

[0010] The electrotherapy channel module performs electrotherapy on biological tissue based on the stable current to obtain brain wave parameters;

[0011] The adaptive feedback module constructs a bionic electro-neuro-physiological signal based on the brain wave database and the neuro-physiological signal characteristics, and adaptively adjusts the brain wave parameters based on the bionic electro-neuro-physiological signal.

[0012] Preferably, the micro-control circuit module comprises: a sampling device, a comparison feedback device and a micro-current output device;

[0013] The sampling device is used to sample data from biological tissue to obtain sampling data;

[0014] The comparison feedback device is used to compare the brain wave database with the sampled data to obtain a comparison result, and adjust the sampled data based on the comparison result;

[0015] The micro-current output device outputs a stable current based on the adjustment result.

[0016] Preferably, the comparison feedback device is a comparison feedback device with high input impedance and low leakage current.

[0017] Preferably, the electrotherapy channel module includes: a digital-to-analog conversion circuit, a phase adjustment circuit, an amplitude adjustment circuit, a constant current source circuit, a polarity circuit and an electrotherapy output circuit.

[0018] Preferably, the constant current source circuit comprises: a differential amplifier and a voltage follower.

[0019] Preferably, the electrotherapy channel module further comprises: conductive electrodes and a wireless device;

[0020] The conductive electrode is used to apply the stable current to the biological body;

[0021] The wireless device is used to apply the stable current to a biological body.

[0022] Preferably, the adaptive feedback module further comprises: an impedance detection unit;

[0023] The impedance detection unit is used to detect the real-time impedance of biological tissue. If the real-time impedance exceeds the range value, the stable current is cut off and an alarm is sounded; if the real-time impedance is less than the range value, the electrotherapy continues.

[0024] The technical effects of the present invention are as follows: the present invention outputs a stable current through a micro-control circuit module; performs electrotherapy on biological tissues through an electrotherapy channel module, and adaptively adjusts the brain wave parameters through an adaptive feedback module. The present invention can output a stable current, which can act on the human body, and in the case of unstable human body impedance, a stable microcurrent can be input into the human body, thereby ensuring the therapeutic effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0026] Figure 1 A schematic diagram of a system in an embodiment of the present invention;

[0027] Figure 2 A schematic diagram of a transmission path of a data signal and a control signal in a circuit diagram in an embodiment of the present invention;

[0028] Figure 3 is a schematic diagram of the general composition and control process of an adaptive control system in an embodiment of the present invention;

[0029] Figure 4 is a circuit diagram of a device based on brain wave comparison and feedback in an embodiment of the present invention;

[0030] Figure 5 Schematic diagram of an electrotherapy micro-electricity generating circuit in an embodiment of the present invention;

[0031] Figure 6 Schematic diagram of a serial-to-parallel conversion circuit in an embodiment of the present invention;

[0032] Figure 7 is a digital-to-analog conversion circuit diagram in an embodiment of the present invention;

[0033] Figure 8 is a circuit diagram of a positive phase side adder in an embodiment of the present invention;

[0034] Fig. 9 is a constant current source circuit diagram in an embodiment of the present invention;

[0035] Fig.10 is a schematic diagram of bioimpedance detection in an embodiment of the present invention;

[0036] Fig.11 Schematic diagram of an automatic control closed-loop locking system in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0038] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0039] Embodiment 1

[0040] like Figure 1 As shown, in this embodiment, an adaptive micro-current electrotherapy system based on brain wave feedback is provided, comprising: 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 to the electrotherapy channel module and the adaptive feedback module, and the brain wave database is connected to the adaptive feedback module;

[0041] A micro-control circuit module for outputting a stable current;

[0042] The electrotherapy channel module performs electrotherapy on biological tissues based on a stable current to obtain brain wave parameters;

[0043] The adaptive feedback module constructs bionic electro-neuro-physiological signals based on the brain wave database and neuro-physiological signal characteristics, and adaptively adjusts the brain wave parameters based on the bionic electro-neuro-physiological signals.

[0044] In this embodiment, the adaptive adjustment process includes: the basic waveforms of the electroencephalogram, α wave, β wave, and θ wave, generate the required waveforms according to actual needs under the guidance of the main control circuit, and the feedback module performs a series of processing on the signals detected by the organism, and compares and judges with the target value. When it is found that the real-time value does not meet the target value range, the adaptive adjustment module transmits the adjustment margin, risk alarm and other instruction data through the main control circuit to the microcurrent module and the electrotherapy module for corresponding adjustments, risk notification, and automatically cuts off the signal when it is serious.

[0045] In some embodiments, Figure 5As shown, the micro-control circuit module includes: a sampling device, a comparison feedback device and a micro-current output device; the sampling device is used to sample data from biological tissues to obtain sampled data; the comparison feedback device is used to compare the brain wave database with the sampled data to obtain a comparison result, and adjust the sampled data based on the comparison result; the micro-current output device outputs a stable current based on the adjustment result.

[0046] In some embodiments, the comparison feedback device adopts a comparison feedback device with high input impedance and low leakage current.

[0047] In some embodiments, the electrotherapy channel module includes: a serial-to-parallel conversion circuit, a digital-to-analog conversion circuit, a phase adjustment circuit, an amplitude adjustment circuit, a constant current source circuit, a polarity circuit and an electrotherapy output circuit.

[0048] In some embodiments, Figure 6 As shown, the serial-to-parallel conversion circuit includes: a serial-to-parallel converter and a controller.

[0049] In some embodiments, Figure 7 As shown, the digital-to-analog conversion circuit includes: a digital converter and a reference voltage source.

[0050] In some embodiments, the constant current source circuit includes: a differential amplifier and a voltage follower.

[0051] In some embodiments, the electrotherapy channel module further includes: a conductive electrode and a wireless device; the conductive electrode is used to apply a stable current to the biological body; the wireless device is used to apply a stable current to the biological body.

[0052] In some embodiments, the adaptive feedback module also includes: an impedance detection unit; the impedance detection unit is used to detect the real-time impedance of the biological tissue. If the real-time impedance exceeds the range value, the stable current is cut off and an alarm is sounded; if the real-time impedance is less than the range value, the electrotherapy continues.

[0053] like Figure 5 As shown, this embodiment proposes a microcurrent electrotherapy circuit with the following characteristics: ① stable current ② direct current ③ current size is in the microampere level. The device includes one or more pairs of conductive electrodes in contact with the human body, and each pair of electrodes includes two positive and negative electrodes. The device can act on the human oral cavity, nasal cavity or skin surface, or act on certain parts of human tissue wirelessly.

[0054] The device needs to have several components, including a power supply, a controller, microcurrent, output electrodes, adaptive feedback and protection. The power supply can be a battery, or other devices that can provide power, such as an adapter. The power supply provides power to the controller. The controller is built with a chip specified by the circuit designer or with discrete components. The function of the controller is to output stable microampere-level direct current to sample, compare and feedback the human brain waves. The direct current can be designed to be adjustable within the range of "0-several mA".

[0055] The internal components of the device are: 1 sampling device, 2 comparison device, 3 adaptive mode feedback device, 4 protection device. Functions of each part: sampling device, sampling the output current, the device can be a high-precision sampling resistor, or a sampling chip. Comparison device, used to compare the target brain wave value with the actual output value. The sampled current is differentially amplified. The characteristics of the device are high input impedance and low leakage current to reduce the impact of the leakage current of the device itself on the output current. The device has one or more pairs of electrodes. Each pair of electrodes acts on the human body, and the current flows from one end of the electrode through the human body to the other end of the electrode to form a loop. Another way is to treat through a wireless device to avoid contact with the body and reduce human discomfort. The adaptive mode device tracks the target value and makes corresponding adjustments. The microcontroller device can automatically treat the organism for a course of electrotherapy and automatically shut down the output after completion. The protection device ensures that the electrotherapy device outputs a controllable microcurrent smoothly during the electrotherapy process, which is a fundamental measure to ensure the safety and comfort of electrotherapy.

[0056] The present embodiment is further described in detail below so that those skilled in the art can implement the embodiment with reference to the description.

[0057] like Figure 1 As shown in the figure, the micro-current electrotherapy system schematic diagram mainly consists of power supply, product control circuit, adaptive feedback and electrotherapy channel. The power supply can be a battery or a power adapter that can provide DC. Figure 5 As shown, the micro-control circuit is the main part of the present invention, which is responsible for outputting a stable current and maintaining the output current stable as the human body impedance changes. It can automatically perform a course of electrotherapy on the biological body and automatically shut down the output after completion. It is also responsible for human safety protection. In abnormal situations, the micro-current output is shut down. There can be one or more pairs of positive and negative electrodes, which act on the human body to form a loop.

[0058] like Figure 2 As shown, the control circuit embodiment consists of several parts, a comparison device, a sampling data feedback device, an intelligent control device, and a micro-current output device. Fig.11As shown, the comparison device is a comparator, and its input is the set output current value. This value can be set in advance (according to the brain wave database), and its range can be 0 to several milliamperes. The output end of the simple core part of the comparator is provided with a high-precision sampling resistor to constitute the sampling device in this embodiment. The two ends of the sampling resistor are connected to the two input ends of the feedback device, so that the output current and / or the voltage parameters at both ends of the sampling resistor are used as the input of the feedback device. After amplification, filtering, quantization, comparison, error correction and differential amplification of the feedback device, it is used as the input of the comparison device to compare with the set output current value. The comparison device adjusts the output current according to the comparison result, so as to ensure that the output current follows the set output current value in real time. No matter what changes occur in the human body impedance, the actual output current remains basically stable. In addition, the characteristics of the feedback device should be high input impedance and low leakage current to reduce the influence of the leakage current of the feedback device itself on the output current.

[0059] like Figure 4 As shown in the figure, based on the brain wave comparison feedback device circuit, the window comparison module is mainly used to track and feedback the output signal parameters, and has two different thresholds. The threshold of the comparator has two thresholds, one of which is based on the reference brain wave data and the other is artificially compensated. The working principle of the comparator is that the output state will change when the voltage between the two input terminals passes through zero. Since the input terminals are often superimposed with very small fluctuating voltages, the differential mode voltage generated by these fluctuations will cause the comparator output to change continuously. To avoid output oscillation, new comparators usually have a hysteresis voltage of several mV. The comparator can provide a very small time delay after adjustment, but its frequency response characteristics will be subject to certain limitations. To avoid output oscillation, many comparators also have internal hysteresis circuits.

[0060] The differential amplification ratio is related to the voltage that the chip can withstand. The comparator compares high and low levels. The principle here is that when the human body resistance at the output end changes, the current will change if the output voltage remains unchanged. After the sampling device detects the current change, it converts the changed current sample into a voltage and inputs it to the negative pole of the comparator. It is compared with the level of the positive pole (setting end) of the comparator and adjusts the voltage at the output end to keep the current stable. This process has high requirements for the feedback device, and the response speed must be fast enough.

[0061] like Fig. 9 As shown, 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 former of the constant current circuit constitutes a differential amplifier to generate a suitable and stable microampere stimulation current; the latter plays a stabilizing role as a voltage follower. Indicators: a) does not change due to changes in load (output voltage); b) does not change due to changes in ambient temperature; c) the internal resistance is infinite (so that all the current can flow out);

[0062] like Figure 8 As shown, the positive phase side adder circuit uses a positive phase side adder and a dual operational amplifier voltage-controlled constant current circuit to generate the waveform we need. Figure 8 The first op amp is an inverter, and the second is a positive-phase adder. The negative input of the positive-phase adder is connected to the reference voltage of the DA chip. Since the reference voltage of the DA in this design is -5V, it must be converted to 5V after passing through the inverter.

[0063] like Fig.10 As shown, impedance detection mainly includes: impedance detection before electrical stimulation and real-time impedance detection during stimulation. When it is found that it is out of range, the output is immediately cut off and an alarm is issued to ensure the safety of stimulation.

[0064] like Figure 3 As shown, an adaptive control system refers to a device that has the characteristics of self-organization within the allowable range, which includes three basic processes: identifying the dynamic characteristics of the object, making decisions based on the identified object; and changing the system action according to the decision instructions.

[0065] Among them, the dynamic characteristics of the identification object: the object is a living organism or a part of its biological tissue, which has the characteristics of constant change. The bioelectric phenomenon of biological cells is divided into resting potential and action potential, and it will move when stimulated.

[0066] Decisions are made based on the identified object: When the external environmental conditions change or other disturbances change, the detection sensor feedback part of the adaptive mechanism adjusts these to compensate for the impact of the external environment or other disturbances on the organism. It is expected that the error performance index between the model and the control object reaches or approaches the minimum value.

[0067] Change the system action according to the decision-making instructions: The design principle is to construct a target system composed of a preset model and an adjustable parameter function, and regard it as one or several modules of the adjustable parameters, and use the effective data verified in the big database in statistics and the intervention method issued by professionals to gradually reduce the target function to a certain range, thereby meeting the consistency requirements between the adjustable system and the reference model.

[0068] like Fig.11As shown, adaptive control research solves: various uncertainties objectively existing outside and inside a system cause a specified performance indicator to exceed and maintain the optimal or approximately optimal. The numerical value obtained by sampling calculation can be used as the output value of the control model. After comparing with the measured value, the observation error is obtained, thereby realizing a closed-loop adaptive model reference tracking control system based on the control regulator. RMFC (Reference Module Following Control) is model reference tracking control, and AMFC (Adaption Module Following Control) is adaptive model tracking control. Both are adaptive control technologies based on EEG data regulators. If the two are combined, RMFC+AMFAC control can be realized, which is adaptive model reference tracking control.

[0069] The adaptive adjustment process specifically includes: in the closed-loop adaptive model reference tracking control system based on the control regulator, under the guidance of the main control circuit, the feedback module autonomously samples, processes and feeds back from the biological tissue in real time. When it is found that the real-time value does not meet the target value range, within the risk level range, the adaptive adjustment module will adjust the margin and other instruction data through the main control circuit, and transmit it to the microcurrent module and electrotherapy module for corresponding adjustments. If the risk level is high, it will be notified, and the signal will be automatically cut off in serious cases.

[0070] According to the above model, based on the brain wave database and neurophysiological signal characteristics, the original neurophysiological signal is sampled in the order of low resolution to high frequency through the sensor, filtered, amplified, and recorded and stored in the database. Artificial simulation of neurophysiological signals uses digital electronics and electronic circuits to refer to the voltage, current and frequency of the original neurophysiological signals to generate and reorganize one or several types of biological neurophysiological signals. Construct bionic electrical neurophysiological signals and use biological simulation methods to assist fatigued biological tissues to recover to a state of vitality. Features: Automatic control system that automatically adjusts controller parameters to obtain satisfactory performance according to changes in the brain wave parameters of different objects or the surrounding environment without human intervention.

[0071] The present embodiment provides an adaptive control device, comprising: a controller that outputs an operation value to a control object, a parallel feedforward compensator that outputs a compensation value based on the operation value to compensate for a return value of a control value output from the control object, and the controller outputs the operation value and performs feedback control based on the return value of the compensation value output from the parallel feedforward compensator and an instruction value added to the control value output from the control object; the parallel feedforward compensator has an identification mechanism that successively estimates the frequency response characteristics of the control object, and an adjustment mechanism that adjusts the compensation value based on the frequency response characteristics.

[0072] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An adaptive microcurrent electrotherapy system based on brain wave feedback, characterized in that: include: Brain wave database, micro-control circuit module, electrotherapy channel module and adaptive feedback module; The micro-control circuit module is connected to the electrotherapy channel module and the adaptive feedback module respectively, and the brain wave database is connected to the adaptive feedback module; The micro-control circuit module is used to output a stable current; The micro-control circuit module 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 connected in sequence; The sampling device is used to sample data from biological tissue to obtain sampling data; The comparison feedback device is used to compare the brain wave database with the sampled data to obtain a comparison result, and adjust the sampled data based on the comparison result; the comparison feedback device adopts a comparison feedback device with high input impedance and low leakage current; The micro-current output device outputs a stable current based on the adjustment result; The electrotherapy channel module performs electrotherapy on biological tissue based on the stable current to obtain brain wave parameters; The electrotherapy channel module comprises: a digital-to-analog conversion circuit, a phase adjustment circuit, an amplitude adjustment circuit, a constant current source circuit, a polarity circuit and an electrotherapy output circuit, wherein the constant current source circuit comprises: a differential amplifier and a voltage follower; the electrotherapy channel module is provided with a wireless device for applying the stable current to the biological body; The adaptive feedback module constructs a bionic electro-neuro-physiological signal based on the brain wave database and the neuro-physiological signal characteristics, and adaptively adjusts the brain wave parameters based on the bionic electro-neuro-physiological signal; The adaptive feedback module further comprises: an impedance detection unit; The impedance detection unit is used to detect the real-time impedance of biological tissue. If the real-time impedance exceeds the range value, the stable current is cut off and an alarm is sounded; if the real-time impedance is less than the range value, the electrotherapy continues.

2. The adaptive microcurrent electrotherapy system based on brain wave feedback according to claim 1 is characterized in that: The digital-to-analog conversion circuit, the phase adjustment circuit, the amplitude adjustment circuit, the constant current source circuit, the polarity circuit and the electrotherapy output circuit are connected in sequence.

3. The adaptive microcurrent electrotherapy system based on brain wave feedback according to claim 1 is characterized in that: The electrotherapy channel module further includes: a conductive electrode; The conductive electrode is used to apply the stable current to the biological body.

4. The adaptive microcurrent electrotherapy system based on brain wave feedback according to claim 1, characterized in that: The adaptive feedback module includes: a bionic construction unit and a parameter adjustment unit; The bionic construction unit constructs a bionic electro-neuro-physiological signal based on the brain wave database and the neuro-physiological signal characteristics; The parameter adjustment unit adaptively adjusts the brain wave parameters based on the bionic electro-neurophysiological signal.

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