CN114366126A - Closed-loop electroencephalogram regulation and control method and system - Google Patents
Closed-loop electroencephalogram regulation and control method and system Download PDFInfo
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/372—Analysis of electroencephalograms
- A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/377—Electroencephalography [EEG] using evoked responses
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
Abstract
The application provides a closed-loop electroencephalogram regulation and control method and a system, wherein the method comprises the following steps: receiving an electroencephalogram signal of a test object; preprocessing the electroencephalogram signal to obtain a preprocessed electroencephalogram signal; calculating and processing the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals and electroencephalogram characteristic values; processing the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm set stimulation phase; and setting a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm, and sending ultrasonic stimulation to the experimental object to perform electroencephalogram regulation. The electroencephalogram control method and the device realize electroencephalogram control on the experimental object by collecting and analyzing the electroencephalogram signal of the experimental object in real time and using a closed-loop ultrasonic stimulation technology and taking the electroencephalogram theta rhythm as a marker.
Description
Technical Field
The application relates to the technical field of ultrasonic stimulation neural regulation, in particular to a closed-loop electroencephalogram regulation and control method and system.
Background
The cranial nerve regulation and control technology is an important method for changing the transfer of brain endogenous nerve signals by using physical or chemical external technical means such as light, magnetism, electricity, ultrasound and the like so as to cause the change of brain functions. The ultrasonic nerve regulation and control is a novel brain stimulation technology, and has the advantages of strong directivity, large penetration depth, accurate target point control, no wound and the like compared with other traditional electrical, magnetic and optical nerve stimulation technologies, so that the ultrasonic non-wound brain nerve regulation and control technology is concerned by scholars in the field of neuroscience in recent years.
Ultrasound is used as a nerve regulation technology, can be widely applied to nerve regulation research of cells, rodents, non-human primates and humans, and is an ideal nerve regulation tool. However, unlike electrical stimulation neuromodulation techniques, the use of closed-loop ultrasound systems has rarely occurred in previous transcranial ultrasound stimulation studies, where the stimulation parameters cannot be changed in real-time during stimulation according to the characteristic conditions of the subject.
In addition, a very important rhythm in the brain of a mammal is the theta rhythm, which is generated by the local interaction of hippocampal interneurons and pyramidal neurons, which plays a key role in many types of learning and memory processes and is also crucial for the regulation of synaptic plasticity. However, the existing closed-loop electroencephalogram regulation and control methods do not consider theta rhythm. Therefore, the application provides a closed-loop electroencephalogram regulation and control method and system.
Disclosure of Invention
The application aims to solve the problems and provides a closed-loop electroencephalogram regulation and control method and system.
In a first aspect, the present application provides a closed-loop electroencephalogram control method, including the steps of:
receiving an electroencephalogram signal of a test object;
preprocessing the electroencephalogram signal to obtain a preprocessed electroencephalogram signal;
calculating and processing the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals and electroencephalogram characteristic values;
processing the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm set stimulation phase;
and setting a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm, and sending ultrasonic stimulation to the experimental object to perform electroencephalogram regulation.
According to the technical scheme provided by some embodiments of the application, the electroencephalogram signal is preprocessed to obtain the preprocessed electroencephalogram signal, and the preprocessing method specifically comprises the following steps:
and performing down-sampling, 50Hz notch denoising and 4-200Hz filtering on the electroencephalogram signals to obtain preprocessed electroencephalogram signals.
According to the technical scheme provided by some embodiments of the application, the preprocessing electroencephalogram signal is calculated and processed to obtain the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value, and the method specifically comprises the following steps:
filtering the preprocessed electroencephalogram signals at 4-8Hz to obtain theta rhythm electroencephalogram signals;
and calculating and processing the preprocessed electroencephalogram signal and the theta rhythm electroencephalogram signal to obtain the electroencephalogram characteristic value.
According to the technical scheme provided by some embodiments of the application, the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value are processed to obtain an ultrasonic stimulation parameter and a theta rhythm setting stimulation phase, and the method specifically comprises the following steps:
calculating the error between the electroencephalogram characteristic value and a preset expected value, and obtaining an ultrasonic regulation and control parameter according to a control strategy;
calculating the theta rhythm phase of the theta rhythm electroencephalogram signal by using Hilbert transform;
and predicting the theta rhythm setting stimulation phase of the theta rhythm electroencephalogram signal according to the theta rhythm phase and the prediction model.
According to the technical solution provided by some embodiments of the present application, the control strategy is a generalized minimum variance control strategy.
According to the technical scheme provided by some embodiments of the present application, a stimulation phase is set according to the ultrasonic stimulation parameter and the theta rhythm, and the ultrasonic stimulation is sent to the experimental object to perform electroencephalogram control, specifically including the following steps:
generating a first control waveform signal according to the ultrasonic stimulation parameters and the theta rhythm setting stimulation phase;
amplifying the first control waveform signal to obtain a second control waveform signal;
enabling the second control waveform signal to be an ultrasonic signal output;
and limiting the ultrasonic signal in a set space range and transmitting the ultrasonic signal to the experimental object.
In a second aspect, the present application provides a closed-loop electroencephalogram control system of the closed-loop electroencephalogram control method, including:
the processing module is configured for receiving and preprocessing the electroencephalogram signal of the experimental object to obtain a preprocessed electroencephalogram signal, and is also configured for calculating and processing the preprocessed electroencephalogram signal to obtain a theta rhythm electroencephalogram signal and an electroencephalogram characteristic value;
the control module is configured to process the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm setting stimulation phase;
and the ultrasonic stimulation module is configured to set a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm and send ultrasonic stimulation to the experimental object to perform electroencephalogram regulation.
According to an aspect provided in some embodiments of the present application, the processing module includes:
the preprocessing module is configured for receiving the electroencephalogram signal, and performing down-sampling, notch denoising and filtering processing on the electroencephalogram signal to obtain a preprocessed electroencephalogram signal;
the theta rhythm electroencephalogram calculation module is configured and used for carrying out 4-8Hz filtering on the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals;
and the electroencephalogram characteristic value calculation module is configured for calculating and processing the preprocessed electroencephalogram signal and the theta rhythm electroencephalogram signal to obtain the electroencephalogram characteristic value.
According to an aspect provided in some embodiments of the present application, the control module includes:
the theta rhythm phase predicting module is configured for calculating the theta rhythm phase of the theta rhythm electroencephalogram signal by using Hilbert transform, and is also configured for predicting the theta rhythm setting stimulation phase of the theta rhythm electroencephalogram signal according to the theta rhythm phase and a predicting model;
and the ultrasonic regulation and control parameter calculation module is configured for calculating the error between the electroencephalogram characteristic value and a preset expected value and obtaining the ultrasonic regulation and control parameters according to a control strategy.
According to an aspect provided by some embodiments of the present application, the ultrasound stimulation module includes:
a signal generation module configured to generate a first control waveform signal according to the ultrasonic stimulation parameter and the theta rhythm setting stimulation phase;
the power amplification module is configured to amplify the first control waveform signal to obtain a second control waveform signal;
an ultrasonic transduction module configured to enable the second control waveform signal as an ultrasonic signal output;
and the collimation module is configured to limit the ultrasonic signal in a set spatial range and transmit the ultrasonic signal to the experimental object.
Compared with the prior art, the beneficial effect of this application: the closed-loop electroencephalogram regulation and control method comprises the following steps: receiving an electroencephalogram signal of a test object; preprocessing the electroencephalogram signal to obtain a preprocessed electroencephalogram signal; calculating and processing the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals and electroencephalogram characteristic values; processing the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm set stimulation phase; setting a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm, and sending ultrasonic stimulation to the experimental object to perform electroencephalogram regulation; the electroencephalogram control method and the device realize electroencephalogram control on the experimental object by collecting and analyzing the electroencephalogram signal of the experimental object in real time and using a closed-loop ultrasonic stimulation technology and taking the electroencephalogram theta rhythm as a marker.
The frequency range of theta rhythm is 4-8Hz, the period is 125-250ms, and the stimulation accuracy in the electroencephalogram closed-loop regulation and control is conveniently ensured under the condition that the ms-level equipment operation delay exists; the electroencephalogram theta rhythm acts on the learning and memory processes, closed-loop electroencephalogram regulation is carried out by taking the electroencephalogram theta rhythm as a marker, the neural action mechanism and the plasticity neural pathway related to learning and memory can be further regulated, and the study, memory and cognitive functions of experimental objects can be favorably researched and improved.
Drawings
Fig. 1 is a schematic structural diagram of a closed-loop electroencephalogram regulation and control system provided in embodiment 1 of the present application;
fig. 2 is a flowchart of a closed-loop electroencephalogram control method provided in embodiment 2 of the present application;
FIG. 3 is a detailed flowchart of step S3 in FIG. 2;
FIG. 4 is a detailed flowchart of step S4 in FIG. 2;
fig. 5 is a detailed flowchart of step S5 in fig. 2.
Detailed Description
The following detailed description of the present application is given for the purpose of enabling those skilled in the art to better understand the technical solutions of the present application, and the description in this section is only exemplary and explanatory, and should not be taken as limiting the scope of the present application in any way.
Example 1
Referring to fig. 1, the present embodiment provides a closed-loop electroencephalogram modulation system, which includes an acquisition module, a processing module, a control module, and an ultrasound stimulation module.
The acquisition module is connected to the experimental object and is used for acquiring the electroencephalogram signals of the experimental object in real time; wherein, the experimental object is set as a mouse which is commonly used in the laboratory for experiment; the acquisition module comprises an electroencephalogram electrode and a neural signal processor; the electroencephalogram electrodes comprise three paths, wherein one path of tungsten microelectrode is inserted in a hippocampal CA1 area under the skull of the experimental object to record electroencephalogram of the brain area, and the other two paths of electrodes are inserted on the nasal bone of the experimental object to serve as a reference electrode and a grounding electrode; the neural signal processor is connected with the electroencephalogram electrode, is configured to convert the electroencephalogram signal into a corresponding digital signal, and sends the converted digital signal to the electroencephalogram signal processing module.
In this embodiment, the model of the neural Signal processor may optionally adopt an Apollo ii neural Signal processor from Bio-Signal Technologies, with a sampling frequency of 30kHz, and is connected to a PC via a USB interface.
The processing module is connected with the acquisition module and used for receiving the electroencephalogram signals of the experimental object acquired by the acquisition module, preprocessing the electroencephalogram signals to obtain preprocessed electroencephalogram signals, and calculating and processing the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals and electroencephalogram characteristic values.
Specifically, the processing module includes: the device comprises a preprocessing module, a theta rhythm electroencephalogram calculation module and an electroencephalogram characteristic value calculation module.
The preprocessing module is connected with the acquisition module, is configured to receive the electroencephalogram signal, performs down-sampling, 50Hz notch de-noising and 4-200Hz filtering on the electroencephalogram signal to obtain a preprocessed electroencephalogram signal, and is also configured to send the preprocessed electroencephalogram signal to the theta rhythm electroencephalogram calculation module and the electroencephalogram characteristic value calculation module.
The theta rhythm electroencephalogram calculation module is configured for carrying out 4-8Hz filtering on the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals, and is also configured for sending the theta rhythm electroencephalogram signals to the electroencephalogram characteristic value calculation module and the control module.
The electroencephalogram characteristic value calculating module is configured to calculate and process the preprocessed electroencephalogram signal and the theta rhythm electroencephalogram signal to obtain the electroencephalogram characteristic value, and is also configured to send the electroencephalogram characteristic value to the control module. The electroencephalogram characteristic values comprise absolute power of a preprocessed electroencephalogram signal, relative power of a theta rhythm electroencephalogram signal relative to the preprocessed electroencephalogram signal, sample entropy and the like.
The control module is configured to process the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm setting stimulation phase.
Specifically, the control module includes: the device comprises a theta rhythm phase prediction module and an ultrasonic regulation and control parameter calculation module.
The ultrasonic regulation and control parameter calculation module is connected with the electroencephalogram characteristic calculation module, is configured to calculate an error between the electroencephalogram characteristic value and a preset expected value, obtains an ultrasonic regulation and control parameter according to a control strategy, and is further configured to send the ultrasonic regulation and control parameter to the ultrasonic stimulation module. The ultrasonic regulation and control parameters comprise parameters such as ultrasonic size and ultrasonic duration.
The theta rhythm phase predicting module is connected with the theta rhythm electroencephalogram calculating module, is configured to receive the theta rhythm electroencephalogram signals, calculates the theta rhythm phase of the theta rhythm electroencephalogram signals by means of Hilbert transform, predicts the time of the theta rhythm set stimulation phase through a predicting model to obtain ultrasonic stimulation time, and sends ultrasonic output instructions to the ultrasonic stimulation module according to the ultrasonic stimulation time; the theta rhythm prediction model can predict the theta rhythm phase of a period of time in the future according to the historical electroencephalogram theta rhythm.
The control strategy can regulate and control the ultrasonic parameters according to the error between the current electroencephalogram characteristic value and the preset expected value, so that the effect of reducing or even eliminating the error is achieved; in this embodiment, the control strategy uses a generalized minimum variance control strategy, and the phase prediction model of the theta rhythm is an AR model, and the theta rhythm sets the stimulation phase to a peak.
In this embodiment, the processing module and the control module are respectively implemented by a C + + program and an MATLAB program in a PC, and data transmission between the C + + program and the MATLAB program is implemented by a UDP data packet.
The ultrasonic stimulation module is configured to set a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm and send ultrasonic stimulation to the experimental object to perform electroencephalogram regulation.
Specifically, the ultrasonic stimulation module comprises: the device comprises a signal generating module, a power amplifying module, an ultrasonic transduction module and a collimation module.
The signal generation module is configured to receive the output instruction sent by the theta rhythm phase prediction module and the ultrasonic stimulation parameters sent by the regulation and control parameter calculation module, and generate a first control waveform signal.
The signal generating module is a function/arbitrary waveform generator which can remotely receive parameters such as ultrasonic frequency, pulse repetition frequency, pulse period number, pulse train length, pulse train interval, train circulation frequency, stimulation starting time and the like in real time; in this embodiment, the signal generation module optionally uses a DG2080 model function/arbitrary waveform generator of rig brand, and is connected to a PC through a USB interface, and outputs a signal to the ultrasonic transducer through a BNC line, and the received control instruction is sent by an MATLAB program.
The power amplification module is configured to amplify the first control waveform signal to obtain a second control waveform signal, and send the second control waveform signal to the super energy transduction module.
In this embodiment, the power amplification module is implemented by a radio frequency amplifier, and in this preferred embodiment, the model of the power amplifier is a 240L ENI linear power amplifier.
The ultrasonic energy conversion module is configured to enable the second control waveform signal to be an ultrasonic signal and is connected with the collimation module; the ultrasonic energy conversion module is an ultrasonic energy converter which is an active device and can realize a device for converting electric power into mechanical power output, namely converting electric energy into sound energy, and the process has little power loss (ultrasonic wave is a mechanical wave).
In this embodiment, the ultrasonic transducer generates ultrasound with a center frequency of 500kHz, and an Oribas ultrasonic transducer with a diameter of 31mm, model V301-SU, is selected.
The collimation module is fixedly connected to the output end of the ultrasonic transducer, is configured to limit the ultrasonic signal in a set spatial range and transmit the ultrasonic signal to the experimental object, and simultaneously reduces the attenuation of the ultrasonic in the propagation process by filling coupling liquid in the collimation module; in this embodiment, the collimating module is a collimator.
Example 2
The present embodiment provides a closed-loop electroencephalogram control method using the closed-loop electroencephalogram control system described in embodiment 1, and fig. 2 is a flowchart of the method, where the method includes the following steps:
and S1, receiving the electroencephalogram signals of the experimental object.
In this example, the subject was a mouse which was usually used in laboratory experiments.
And S2, preprocessing the electroencephalogram signal to obtain a preprocessed electroencephalogram signal.
The method specifically comprises the following steps: and performing down-sampling, 50Hz notch denoising and 4-200Hz filtering on the electroencephalogram signals to obtain preprocessed electroencephalogram signals.
And S3, calculating and processing the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals and electroencephalogram characteristic values.
As shown in fig. 3, the present step specifically includes:
s31, filtering the preprocessed electroencephalogram signal at 4-8Hz to obtain a theta rhythm electroencephalogram signal;
and S32, calculating and processing the preprocessed electroencephalogram signal and the theta rhythm electroencephalogram signal to obtain the electroencephalogram characteristic value.
And S4, processing the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm setting stimulation phase.
As shown in fig. 4, the present step specifically includes:
s41, calculating the error between the electroencephalogram characteristic value and a preset expected value, and obtaining ultrasonic regulation and control parameters according to a control strategy;
s42, calculating the theta rhythm phase of the theta rhythm electroencephalogram signal by using Hilbert transform;
and S43, predicting the theta rhythm setting stimulation phase of the theta rhythm electroencephalogram signal according to the theta rhythm phase and the prediction model.
And S5, setting a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm, and sending ultrasonic stimulation to the experimental object to perform electroencephalogram regulation.
As shown in fig. 5, the present step specifically includes:
s51, generating a first control waveform signal according to the ultrasonic stimulation parameters and the theta rhythm setting stimulation phase;
s52, amplifying the first control waveform signal to obtain a second control waveform signal;
s53, enabling the second control waveform signal to be an ultrasonic wave signal output;
and S54, limiting the ultrasonic signal in a set space range and transmitting the ultrasonic signal to the experimental object.
The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. The foregoing is only a preferred embodiment of the present application, and it should be noted that there are no specific structures which are objectively limitless due to the limited character expressions, and it will be apparent to those skilled in the art that a plurality of modifications, decorations or changes can be made without departing from the principle of the present invention, and the technical features mentioned above can be combined in a suitable manner; such modifications, variations, combinations, or adaptations of the invention in other instances, which may or may not be practiced, are intended to be within the scope of the present application.
Claims (10)
1. A closed-loop electroencephalogram regulation and control method is characterized by comprising the following steps:
receiving an electroencephalogram signal of a test object;
preprocessing the electroencephalogram signal to obtain a preprocessed electroencephalogram signal;
calculating and processing the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals and electroencephalogram characteristic values;
processing the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm set stimulation phase;
and setting a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm, and sending ultrasonic stimulation to the experimental object to perform electroencephalogram regulation.
2. The closed-loop electroencephalogram control method according to claim 1, characterized by preprocessing the electroencephalogram signal to obtain a preprocessed electroencephalogram signal, and specifically comprising the following steps:
and performing down-sampling, 50Hz notch denoising and 4-200Hz filtering on the electroencephalogram signals to obtain preprocessed electroencephalogram signals.
3. The closed-loop electroencephalogram control method according to claim 1, wherein the preprocessed electroencephalogram signal is computed to obtain a theta rhythm electroencephalogram signal and an electroencephalogram characteristic value, and the method specifically comprises the following steps:
filtering the preprocessed electroencephalogram signals at 4-8Hz to obtain theta rhythm electroencephalogram signals;
and calculating and processing the preprocessed electroencephalogram signal and the theta rhythm electroencephalogram signal to obtain the electroencephalogram characteristic value.
4. The closed-loop electroencephalogram control method according to claim 1, wherein the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value are processed to obtain an ultrasonic stimulation parameter and a theta rhythm set stimulation phase, and the method specifically comprises the following steps:
calculating the error between the electroencephalogram characteristic value and a preset expected value, and obtaining an ultrasonic regulation and control parameter according to a control strategy;
calculating the theta rhythm phase of the theta rhythm electroencephalogram signal by using Hilbert transform;
and predicting the theta rhythm setting stimulation phase of the theta rhythm electroencephalogram signal according to the theta rhythm phase and the prediction model.
5. The closed-loop brain electrical regulation method of claim 4, wherein the control strategy is a generalized minimum variance control strategy.
6. The closed-loop electroencephalogram control method according to claim 1, wherein a stimulation phase is set according to the ultrasonic stimulation parameter and the theta rhythm, and ultrasonic stimulation is given to the experimental subject for electroencephalogram control, and the method specifically comprises the following steps:
generating a first control waveform signal according to the ultrasonic stimulation parameters and the theta rhythm setting stimulation phase;
amplifying the first control waveform signal to obtain a second control waveform signal;
enabling the second control waveform signal to be an ultrasonic signal output;
and limiting the ultrasonic signal in a set space range and transmitting the ultrasonic signal to the experimental object.
7. A closed-loop brain electrical regulation system of the closed-loop brain electrical regulation method of any one of claims 1-6, comprising:
the processing module is configured for receiving and preprocessing the electroencephalogram signal of the experimental object to obtain a preprocessed electroencephalogram signal, and is also configured for calculating and processing the preprocessed electroencephalogram signal to obtain a theta rhythm electroencephalogram signal and an electroencephalogram characteristic value;
the control module is configured to process the theta rhythm electroencephalogram signal and the electroencephalogram characteristic value to obtain an ultrasonic stimulation parameter and a theta rhythm setting stimulation phase;
and the ultrasonic stimulation module is configured to set a stimulation phase according to the ultrasonic stimulation parameters and the theta rhythm and send ultrasonic stimulation to the experimental object to perform electroencephalogram regulation.
8. The closed-loop brain electrical regulation system of claim 7, wherein the processing module comprises:
the preprocessing module is configured for receiving the electroencephalogram signal, and performing down-sampling, notch denoising and filtering processing on the electroencephalogram signal to obtain a preprocessed electroencephalogram signal;
the theta rhythm electroencephalogram calculation module is configured and used for carrying out 4-8Hz filtering on the preprocessed electroencephalogram signals to obtain theta rhythm electroencephalogram signals;
and the electroencephalogram characteristic value calculation module is configured for calculating and processing the preprocessed electroencephalogram signal and the theta rhythm electroencephalogram signal to obtain the electroencephalogram characteristic value.
9. The closed-loop brain electrical regulation system of claim 7, wherein the control module comprises:
the theta rhythm phase predicting module is configured for calculating the theta rhythm phase of the theta rhythm electroencephalogram signal by using Hilbert transform, and is also configured for predicting the theta rhythm setting stimulation phase of the theta rhythm electroencephalogram signal according to the theta rhythm phase and a predicting model;
and the ultrasonic regulation and control parameter calculation module is configured for calculating the error between the electroencephalogram characteristic value and a preset expected value and obtaining the ultrasonic regulation and control parameters according to a control strategy.
10. The closed-loop brain electrical modulation system of claim 7, wherein the ultrasound stimulation module comprises:
a signal generation module configured to generate a first control waveform signal according to the ultrasonic stimulation parameter and the theta rhythm setting stimulation phase;
the power amplification module is configured to amplify the first control waveform signal to obtain a second control waveform signal;
an ultrasonic transduction module configured to enable the second control waveform signal as an ultrasonic signal output;
and the collimation module is configured to limit the ultrasonic signal in a set spatial range and transmit the ultrasonic signal to the experimental object.
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| WO2024036794A1 (en) * | 2022-08-15 | 2024-02-22 | 中国科学院深圳先进技术研究院 | Acoustic-wave non-invasive brain-computer interface and control method |
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