CN113180662A - EEG signal-based anxiety state intervention method and system - Google Patents
EEG signal-based anxiety state intervention method and system Download PDFInfo
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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Abstract
The invention discloses an anxiety state intervention method and system based on an EEG signal, wherein the method comprises the following steps: EEG signal acquisition equipment acquires EEG signals of a wearer, amplifies and codes the acquired EEG signals, and then transmits the EEG signals to a data analysis system; the data analysis system analyzes and identifies and classifies the received electroencephalogram signals to obtain the anxiety degree, and transmits the anxiety degree into the perception nerve regulation and control system to trigger the perception nerve regulation and control system to send tactile stimulation to the target brain area of the user. The invention can automatically trigger the perception nerve regulation and control system to apply stimulation of different durations according to the anxiety degree of the user, thereby achieving the beneficial effect of pertinently and intelligently relieving anxiety.
Description
Technical Field
The invention relates to the technical field of EEG signal identification, in particular to an anxiety state intervention method and system based on an EEG signal.
Background
Anxiety is a common emotional state, and uncontrollable anxiety states, known as anxiety disorders, are a wide range of mental health disorders. Anxiety states occur in association with environmental factors, personality traits, and other factors, and occur with intense brain activity abnormalities. In particular, abnormalities in brain activity during anxiety will be reflected in abnormalities in the EEG signal. Studies have shown that EEG signal abnormalities of an anxiety state may be reflected in multiple dimensions, including frequency, power spectrum, coupling relationships, and the like.
Currently, there are only methods for monitoring EEG, and there are no existing methods for haptic manipulation based on detected signals, and no automated, intelligent intervention based on the anxiety state of the user.
Disclosure of Invention
The invention aims to provide an anxiety state intervention method and system based on an EEG signal, so as to realize the intervention on the anxiety of a user, and the EEG detection technology aiming at the anxiety state carries out intelligent touch control according to the detected signal after detection.
In order to solve the above technical problem, the present invention provides an anxiety state intervention method based on EEG signals, including:
EEG signal acquisition equipment acquires EEG signals of a wearer, amplifies and codes the acquired EEG signals, and then transmits the EEG signals to a data analysis system;
the data analysis system analyzes and identifies and classifies the received electroencephalogram signals to obtain the anxiety degree, and transmits the anxiety degree into the perception nerve regulation and control system to trigger the perception nerve regulation and control system to send tactile stimulation to the target brain area of the user.
Preferably, the electroencephalogram signal acquired by the EEG signal acquiring device is an electroencephalogram signal of a resting eye-closing state of the user.
Preferably, the process of analyzing by the data analysis system includes: (1) filtering the received electroencephalogram signal, and filtering artifacts of the electroencephalogram signal by adopting Fourier transform to obtain a pure electroencephalogram signal; (2) and performing fast Fourier transform on the pure electroencephalogram signals, calculating a correlation dimension index of alpha waves, and taking the correlation dimension index as an anxiety state characteristic value.
Preferably, the process of performing identification classification by the data analysis system includes: and inputting the characteristic value of the anxiety state into a classification algorithm model for model identification and classification so as to detect the anxiety degree of the user at the moment.
Preferably, the anxiety degree is to classify the anxiety level of the user into normal, mild, moderate or severe anxiety according to the magnitude of the characteristic value of the anxiety state.
Preferably, the sensory nerve modulation system can make a tactile modulation scheme according to the anxiety degree of the user.
Preferably, the tactile modulation scheme employs stimulation in the form of touch by massage contacts placed at the scalp of the target brain areas, frontal, parietal and temporal-parietal combined areas.
Preferably, the sensory nerve regulation and control system can match and call the stimulation scheme in the database through an algorithm, and when the anxiety degree of the user is detected to be lower than moderate, the sensory nerve regulation and control system sends the tactile stimulation of the primary gear to the user; when the anxiety degree of the user is detected to be moderate, sending tactile stimulation of a middle gear to the user; when it is detected that the degree of anxiety of the user is severe, tactile stimulation of the high-level gear is transmitted to the user.
The invention also provides an anxiety state intervention system based on the EEG signal, which is used for realizing the method and comprises the following steps:
the EEG signal acquisition equipment is used for acquiring an EEG signal of a wearer, amplifying and coding the acquired EEG signal and then transmitting the EEG signal to the data analysis system;
the data analysis system is used for analyzing, identifying and classifying the received electroencephalogram signals to obtain the anxiety degree and transmitting the anxiety degree into the perception nerve regulation and control system;
and the perception nerve regulation and control system is used for receiving the anxiety degree and sending tactile stimulation to the target brain area of the user.
According to the method and the system for intervening the anxiety state based on the EEG signals, EEG signal acquisition equipment is used for acquiring, amplifying and coding EEG signals of a wearer, a data analysis system is used for analyzing and identifying and classifying the received EEG signals to obtain the anxiety degree, a perception nerve regulation and control system is triggered according to the anxiety degree, the perception nerve regulation and control system sends tactile stimulation to a target brain area of the user, the anxiety state regulation and control are completed through the EEG signals, and the intervention on the anxiety state of the user is realized. The EEG signals of the user are collected, analyzed, identified and classified, automatic targeted regulation and control are implemented according to the identified anxiety degree of the user, the brain waves of the user can be monitored, the data are transmitted to the data analysis system to be analyzed, identified and classified, whether the user enters the anxiety state or not is fed back in real time, the anxiety degree of the user can be divided into normal anxiety degree, mild anxiety degree, moderate anxiety degree and severe anxiety degree, the sensory nerve regulation and control system is automatically triggered to apply stimulation of different durations according to different anxiety degrees, and the beneficial effect of targeted and intelligent anxiety relieving is achieved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an anxiety state intervention method based on EEG signals provided by the present invention;
FIG. 2 is a flow chart of EEG data acquisition and processing provided by the present invention;
FIG. 3 is a flow chart of the operation of the sensory nerve modulation system provided by the present invention;
fig. 4 is a schematic diagram of an EEG signal-based anxiety intervention system provided by the present invention.
Detailed Description
The core of the invention is to provide an anxiety state intervention method and system based on an EEG signal, so as to realize the intervention on the anxiety of a user, and the EEG detection technology aiming at the anxiety state carries out intelligent touch control according to the detected signal after detection.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an anxiety state intervention method based on an EEG signal, which comprises the following steps:
s11: EEG signal acquisition equipment acquires EEG signals of a wearer, amplifies and codes the acquired EEG signals, and then transmits the EEG signals to a data analysis system;
the EEG signals collected by the EEG signal collecting equipment are EEG signals of the resting eye-closing state of the user.
S12: the data analysis system analyzes and identifies and classifies the received electroencephalogram signals to obtain the anxiety degree, and transmits the anxiety degree into the perception nerve regulation and control system to trigger the perception nerve regulation and control system to send tactile stimulation to the target brain area of the user.
The process of analyzing by the data analysis system comprises the following steps: (1) filtering the received electroencephalogram signal, and filtering artifacts of the electroencephalogram signal by adopting Fourier transform to obtain a pure electroencephalogram signal; (2) and performing fast Fourier transform on the pure electroencephalogram signals, calculating a correlation dimension index of alpha waves, and taking the correlation dimension index as an anxiety state characteristic value. The process of the data analysis system for identification and classification comprises the following steps: and inputting the characteristic value of the anxiety state into a classification algorithm model for model identification and classification so as to detect the anxiety degree of the user at the moment.
Wherein the anxiety degree is that the anxiety level of the user is divided into normal, mild, moderate or severe anxiety according to the magnitude of the characteristic value of the anxiety state. The sensory nerve regulation and control system can make a tactile regulation and control scheme according to the anxiety degree of the user. The tactile control scheme employs tactile stimulation via massage contacts mounted on the scalp of the target brain areas, which are frontal, parietal and temporal-parietal combined areas.
Specifically, the sensory nerve regulation and control system can match and call a stimulation scheme in a database through an algorithm, and when the anxiety degree of the user is detected to be lower than moderate, tactile stimulation of a primary gear is sent to the user; when the anxiety degree of the user is detected to be moderate, sending tactile stimulation of a middle gear to the user; when it is detected that the degree of anxiety of the user is severe, tactile stimulation of the high-level gear is transmitted to the user.
Therefore, in the method, EEG signal acquisition equipment acquires, amplifies and codes EEG signals of a wearer, a data analysis system analyzes and identifies and classifies the received EEG signals to obtain anxiety degree, a perception nerve regulation and control system is triggered according to the anxiety degree, the perception nerve regulation and control system sends visual touch stimulation to a target brain area of a user, the regulation and control of the anxiety state are completed through the EEG signals, and the intervention on the anxiety state of the user is realized.
The EEG signals of the user are collected, analyzed, identified and classified, automatic targeted regulation and control are implemented according to the identified anxiety degree of the user, the brain waves of the user can be monitored, the data are transmitted to the data analysis system to be analyzed, identified and classified, whether the user enters the anxiety state or not is fed back in real time, the anxiety degree of the user can be divided into normal anxiety degree, mild anxiety degree, moderate anxiety degree and severe anxiety degree, the sensory nerve regulation and control system is automatically triggered to apply stimulation of different durations according to different anxiety degrees, and the beneficial effect of targeted and intelligent anxiety relieving is achieved. FIG. 1 is a schematic diagram of an embodiment of the method.
Referring to fig. 1 and 2, in the acquisition of raw EEG data of fig. 1 and 2, the adopted device features are: the EEG equipment electrode is a dry electrode, is mainly symmetrically distributed on the forehead or the frontal lobe and is different from the whole brain electrode distribution in the prior art, and the embodiment can extract characteristic values from the frontal lobe electroencephalogram activity to detect the anxiety state based on the portable EEG equipment, so that the equipment is miniaturized and simplified, the application scene of detection is widened, and the use by a user is facilitated.
In the embodiment, the electroencephalogram signals of the resting eye-closing state of the user are acquired by the equipment, and the user does not need to cooperate to make different actions for detection like the prior art. Anxiety state detection based on the user's resting state EEG signal can reduce the time cost and the human cost of detection.
After the raw EEG data is collected in fig. 1 and 2, the collected EEG signals are amplified and subjected to digital-to-analog conversion coding, and transmitted to a data analysis system for analysis, identification and classification. The data transmission mode can be any connection mode, and is not limited to bluetooth, data traffic and WiFi. Preferably, the present embodiment uses bluetooth to transmit data.
The data analysis comprises the following steps: 1, filtering original data, and filtering artifacts in the original data by adopting Fourier transform to obtain a pure electroencephalogram signal; 2, carrying out fast Fourier transform on the EEG signal, calculating a correlation dimension index of the alpha wave, and carrying out feature extraction.
After the analysis, the extracted characteristic values are sent to an algorithm model for model identification and classification, and the anxiety degree of the user at the moment is detected. The algorithm model adopted for detecting the anxiety degree is used for carrying out recognition classification on several commonly used classical algorithm models: SVM, decision tree, KNN, random forest, naive bayes classification, least squares, logistic regression, etc. The anxiety level of the user is classified into normal, mild, moderate and severe anxiety types according to the magnitude of the characteristic value.
Referring to fig. 3, fig. 3 is a flow chart of the work of the sensory nerve modulation system. And after the data analysis system transmits the classification result into the sensory nerve regulation and control system, if the user is in an anxiety state at present, the sensory nerve regulation and control system is automatically triggered. The nerve regulation and control system comprises an algorithm module, and the algorithm module can automatically make a regulation and control scheme according to the anxiety degree of a user.
The above regulation scheme adopts tactile stimulation, which is mainly realized by a massage contact arranged at the scalp of a target brain area, and the massage contact vibrates and moves, wherein the target brain area is a frontal lobe, a parietal lobe and a temporal-parietal combined area. The touch massage joint conducts periodical floating massage on the target brain area, and simultaneously is combined with the vibration of the alpha wave in the same frequency band (8-12Hz) to transmit touch signals to a nervous system.
The sensory nerve regulation and control system automatically matches and calls the stimulation scheme in the database through an algorithm, and three different stimulation gears are set in the embodiment. When the anxiety degree of the user is detected to be below the moderate degree, the stimulation of the primary gear is sent to the user, when the anxiety degree of the user is detected to be the moderate degree, the stimulation of the intermediate gear is sent to the user, and when the anxiety degree of the user is detected to be the severe degree, the stimulation of the high gear is sent to the user. Preferably, when the nerve regulation and control system detects that the anxiety degree of the user is more than moderate, the nerve regulation and control system can also send prompt information for seeking medical advice to the user in time through voice and the mobile phone terminal APP.
In addition, as shown in fig. 1 and fig. 3, the present embodiment may also feed back the current real-time effect of the regulation to the user after the regulation is finished. The method comprises the following specific steps:
1. after receiving the regulation of the perception nerve, the EEG acquisition equipment acquires the EEG signals of the resting eye-closing state of the user again, compares the corrlation dimension index of the alpha wave with the baseline value before the regulation and the existing classification standard in the model respectively, and outputs the relative and absolute change conditions of the anxiety level of the user after the regulation and control.
2. The system feeds back the feedback content to the user visually through the mobile phone APP connected with the system, so that the user can know the regulation and control effect more intuitively.
In addition, as shown in fig. 1, the present embodiment may also transmit the data characteristics of the user back to the background database, and incorporate the data characteristics into the algorithm model for automatic correction, so as to continuously optimize the accuracy of the algorithm model.
Referring to fig. 4, fig. 4 is a schematic diagram of an anxiety state intervention system based on EEG signals according to the present invention, the system is used for implementing the method, and the method includes:
the EEG signal acquisition equipment 101 is used for acquiring an EEG signal of a wearer, amplifying and coding the acquired EEG signal and transmitting the EEG signal to a data analysis system;
the data analysis system 102 is used for analyzing, identifying and classifying the received electroencephalogram signals to obtain anxiety degree and transmitting the anxiety degree into a perception nerve regulation and control system;
and the perception regulated and controlled system 103 is used for receiving the anxiety degree and sending tactile stimulation to the target brain area of the user.
Therefore, the system collects, analyzes and identifies the EEG signals of the user, and carries out automatic targeted regulation and control according to the identified anxiety degree of the user, so that the monitoring of the brain waves of the user can be realized, whether the user enters the anxiety state or not can be fed back in real time, the anxiety degree of the user can be divided into normal anxiety, mild anxiety, moderate anxiety and severe anxiety, the perception nerve regulation and control system is automatically triggered to apply stimulation of different durations according to different anxiety degrees, and the beneficial effect of targeted and intelligent anxiety relief is achieved.
Therefore, in the system, EEG signal acquisition equipment acquires, amplifies and codes EEG signals of a wearer, a data analysis system analyzes and identifies and classifies the received EEG signals to obtain anxiety degree, a perception nerve regulation and control system is triggered according to the anxiety degree, the perception nerve regulation and control system sends visual touch stimulation to a target brain area of a user, the regulation and control of the anxiety state are completed through the EEG signals, and the intervention on the anxiety state of the user is realized. The EEG signals of the user are collected, analyzed, identified and classified, automatic targeted regulation and control are implemented according to the identified anxiety degree of the user, the brain waves of the user can be monitored, the data are transmitted to the data analysis system to be analyzed, identified and classified, whether the user enters the anxiety state or not is fed back in real time, the anxiety degree of the user can be divided into normal anxiety degree, mild anxiety degree, moderate anxiety degree and severe anxiety degree, the sensory nerve regulation and control system is automatically triggered to apply stimulation of different durations according to different anxiety degrees, and the beneficial effect of targeted and intelligent anxiety relieving is achieved.
For the introduction of the system for intervening in an anxiety state based on an EEG signal according to the present invention, please refer to the above-mentioned embodiment of the method for intervening in an anxiety state based on an EEG signal, which is not described herein again. The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The method and system for intervening in the anxiety state based on the EEG signal provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (9)
1. A method of intervening in an anxiety state based on EEG signals, comprising the steps of:
EEG signal acquisition equipment acquires EEG signals of a wearer, amplifies and codes the acquired EEG signals, and then transmits the EEG signals to a data analysis system;
the data analysis system analyzes and identifies and classifies the received electroencephalogram signals to obtain the anxiety degree, and transmits the anxiety degree into the perception nerve regulation and control system to trigger the perception nerve regulation and control system to send tactile stimulation to the target brain area of the user.
2. The EEG signal-based anxiety state intervention method of claim 1, wherein the EEG signal acquired by the EEG signal acquisition device is an EEG signal of a resting eye-closing state of the user.
3. The EEG signal-based anxiety state intervention method of claim 1, wherein said process of analyzing by said data analysis system comprises: (1) filtering the received electroencephalogram signal, and filtering artifacts of the electroencephalogram signal by adopting Fourier transform to obtain a pure electroencephalogram signal; (2) and performing fast Fourier transform on the pure electroencephalogram signals, calculating a correlation dimension index of alpha waves, and taking the correlation dimension index as an anxiety state characteristic value.
4. The EEG signal-based anxiety state intervention method of claim 3, wherein said data analysis system performing an identification classification comprises: and inputting the characteristic value of the anxiety state into a classification algorithm model for model identification and classification so as to detect the anxiety degree of the user at the moment.
5. The EEG signal-based anxiety state intervention method of claim 4, wherein said anxiety level is a level of anxiety that differentiates the user's anxiety level into normal, mild, moderate or severe anxiety depending on the magnitude of the anxiety state feature value.
6. The EEG signal-based anxiety state intervention method of claim 4, wherein said sensory neuromodulation system is capable of formulating a haptic modulation scheme based on the anxiety level of the user.
7. The EEG signal-based anxiety state intervention method of claim 6, wherein said haptic modulation scheme employs stimuli in the form of touch through massage contacts placed at the scalp of the target brain areas, frontal, parietal and temporal-parietal combined areas.
8. The EEG signal-based anxiety state intervention method of claim 1, wherein said sensory neuromodulation system is capable of algorithmically matching and retrieving a stimulation scheme in a database, and upon detecting that the user's anxiety level is below moderate, transmitting tactile stimulation in the primary gear to the user; when the anxiety degree of the user is detected to be moderate, sending tactile stimulation of a middle gear to the user; when it is detected that the degree of anxiety of the user is severe, tactile stimulation of the high-level gear is transmitted to the user.
9. An anxiety state intervention system based on EEG signals, for implementing the method, comprising:
the EEG signal acquisition equipment is used for acquiring an EEG signal of a wearer, amplifying and coding the acquired EEG signal and then transmitting the EEG signal to the data analysis system;
the data analysis system is used for analyzing, identifying and classifying the received electroencephalogram signals to obtain the anxiety degree and transmitting the anxiety degree into the perception nerve regulation and control system;
and the perception regulated and controlled system is used for receiving the anxiety degree and sending tactile stimulation to the target brain area of the user.
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