CN113729731B - System and method for recognizing brain consciousness state based on electroencephalogram signals - Google Patents
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Abstract
The invention provides a system and a method for identifying a brain consciousness state based on electroencephalogram signals, which comprises a brain wave acquisition device and a control device; the brain wave acquisition device acquires an electroencephalogram signal of a tested person in a resting state; the control device processes the electroencephalogram signals of the testee, judges the brain consciousness state of the testee and outputs the brain consciousness state information of the testee. The invention can accurately analyze the brain consciousness state of the tested person, thereby pertinently distinguishing the consciousness state, being beneficial to monitoring the discovery of innovative thinking from the 'determined' state, further having visual basis for human to perceive the brain consciousness state, and the provided feedback result index is novel and pioneered, and has strong guiding function for various training and creativity activities.
Description
Technical Field
The invention relates to the technical field of brain consciousness state identification, in particular to a system and a method for identifying a brain consciousness state based on electroencephalogram signals.
Background
At present, electroencephalogram technology is widely applied to various research fields and a plurality of commercial projects, such as screening of depression, anxiety, sleep, brain health and the like, as an important basic subject in brain science research and an industry direction with the most development potential in the future. However, the existing brain-computer interface patent technology is rarely applied to the testing of the consciousness state of the human brain and is rarely applied to the discovery of innovative thinking.
Consciousness is what a person thinks in the brain, can be an image, a character, a sound, an incident, an emotion or something difficult to describe, and can also be cognition, logical thinking and judgment, association and the like. If a person closes his eyes for a minute to perceive consciousness in his brain, he may find out that he has many thoughts, such as what has happened recently, or what is about to happen. These ideas are of our consciousness.
There are four states of consciousness in the human brain, namely chaos, peace, immobility and determinism (for specific explanation, reference can be made to the document: cheng liang, li xiao bei 2017. Memorial leadership: from excellent to excellent., (reviews of management of qinghua, 4). Disorder is a condition in which consciousness is not currently consistent with the human body, such as vagus nerves, poor patency, insomnia, anxiety, tension, dysfunction, depression, fear, etc. In the case of insomnia, the mind of a person is not concerned with sleeping but is concerned with past or future situations, which have occurred or are about to occur, and is irrelevant to the sleeping state at present. Many times, consciousness in the brain is disorganized and can not be stopped. For example, when we lie down to sleep, we should not want anything by the brain and thus can sleep. However, our brains are conscious and do not stop at all. When we have negative emotions, such as anxiety or depression, we are also in a disorganized state of our brain. Because we are anxious, the mind that we are full of the forthcoming matters and worry about, worry about or lack of confidence about the matters is about the future idea and not about the current idea. Therefore, our consciousness is in a disorientation state under the above circumstances. The idioms are careless and the consciousness is in a disorganized state.
The second state of consciousness is peace. When a person gets rid of interference and is preoccupied with doing things, the person is conscious of, for example, the person is attentive to reading, listening to music, playing chess, playing musical instruments, writing or writing programs, conceiving solutions, and the like.
The third state of consciousness is arrestment. In the chaos and peace state, consciousness is continuous on the time axis, and no interruption occurs, and in the end state, a very short interruption occurs between consciousness and consciousness, and the interruption time is generally not more than a few seconds. This condition is rarely seen when humans are at rest. For example, when a person waits for a meal in a known restaurant in a queue, the person turns to the person after long waiting, and the waiter can get the dish well when the person eats the first dish, and never feel the delicious food; or, the user feels that the user can lie down in bed after going back home very late, and the user feels that the user is comfortable and is not comfortable for a long time. The moment a person tastes a dish and lies down the bed is in a state of rest, because the person is always expecting the arrival of the moment, and when the moment is temporary, there is little mischief in the brain, namely, the consciousness is interrupted at the moment. In this case, the person has an unprecedented pleasurable experience resulting from concentration.
The fourth state is "no" in that the time between consciousness and consciousness is longer than one minute, and some people can even make half an hour or even hours or more. It has to be noted that innovative ideas, such as insight, insights, inspiration, differentiation thinking, impromptu performances, etc., are often generated in a stationary or fixed state. Professor John Kounios at the University of dereisel (Drexel University) in usa finds that alpha waves are generated by the occipital lobe of the brain when the consciousness is generated, so that the brain eliminates all interference, namely, the brain does not have any miscellaneous thought any more, and the brain is just in a stopped state.
When a person goes to concentrate on perceiving his own consciousness, the person's consciousness is found to be regular. Within the first 2-5 minutes, the consciousness that emerges in the brain is largely a recent or impending occurrence, something that is urgent, but not necessarily important; if the consciousness of the user is continuously perceived, the user can be in a stopped state after about 5 minutes, and the brain occasionally generates individual consciousness. These individual awareness, many times, is something important but ignored by themselves, either a joker or a prodigious moment. Arbor similarly evaluated the characteristics of consciousness: "if sit down and observe oneself, you will find their thinking complicated (messy). It will only work counter if trying to calm the mind. However, as time goes on, the mind becomes calm (a state of rest), and you can hear a finer sound. At this time your inspiration begins to bloom, you can see things more clearly and live at the present. "
Without special training, people are often confused about what they are in, and have a certain time to be in a peaceful state, and have few chances to be in a peaceful state. If people go from small to big, the brain will easily enter the fixed state by writing brush and pen, and long-time training of reading, practicing musical instruments, drawing, yoga, taiji, etc.
The four states of brain consciousness, namely disorder, peace, arrest and fixation, have very important significance for work, study and life of people. First, our mental subhealth, such as insomnia, dreaminess, anxiety, depression, obsessive compulsive, etc., is a state of disorganized brain awareness; the brain is identified to be in a disordered state by monitoring the brain electricity, and corresponding intervention measures are taken, for example, through the practice of proneness, the consciousness of the brain can be changed into a safe or stopped state from the disordered state, and the mental sub-health can be effectively relieved. By monitoring the consciousness state of the brain before and after intervention, on one hand, the psychological intervention can be more scientific and visualized, and on the other hand, the confidence of the subject on the intervention can be enhanced. Secondly, the country emphasizes the prominent position of innovation in economic development, and how to promote the innovative thinking becomes more and more important. The ability to quickly and efficiently enter into and settle the mind can be more effectively triggered by conscious brain training, such as meditation, memorial exercises, and the like, to monitor whether the brain enters into a settled or settled state.
The Chinese invention application document with the publication number of CN110367967A discloses a portable light human brain state detection method based on data fusion, which comprises the following steps: acquiring original electroencephalogram data of N channels by electroencephalogram signal acquisition equipment, and preprocessing the original electroencephalogram data; carrying out blind source signal separation on the preprocessed electroencephalogram signal data to obtain signals of a plurality of signal sources, and carrying out feature extraction on the signal of each signal source based on wavelet packet transformation; each signal source is respectively input into a plurality of trained lightweight convolutional neural network models for analysis, and the outputs of the lightweight convolutional neural network models are subjected to weighted voting to obtain a final classification result; the lightweight convolutional neural network model takes the characteristics of each signal source obtained by wavelet packet transformation as input and takes the signal source category as output. The primary direction in which this is distinguished is the brain in a tired state and a conscious state. The aim is to make a more accurate analysis of brain fatigue detection.
The Chinese patent publication No. CN110123314A discloses a method for judging the state of concentration and relaxation of a brain based on electroencephalogram signals, which comprises the following steps: collecting an electroencephalogram signal; analyzing and processing the EEG signals to obtain brain waves of a plurality of different frequency bands, and calculating the concentration and the relaxation of the brain; establishing a discrimination model of a concentration state and a relaxation state, and extracting a characteristic value D by using the discrimination model; and comparing the characteristic value D with a threshold value, judging the state to be in the concentrated state if the D is greater than the threshold value, and judging the state to be in the relaxed state if the D is less than the threshold value. The method analyzes the forehead electroencephalogram signal to obtain the concentration degree and the relaxation degree, judges the concentration and relaxation states through the analysis of the concentration degree and the relaxation degree, and can effectively assist medical equipment and daily wearable equipment in monitoring the brain state. The method is used for modeling the concentration degree and the relaxation degree, extracting the characteristic value and analyzing the state that the brain is in the concentration or relaxation state, and aims to assist medical equipment and daily wearable equipment in monitoring the state that the brain is concentrated and relaxed.
In view of the prior art, the inventor believes that the method does not recognize four states of confusion, peace, immobility and immobility of brain; secondly, the above method is difficult to accurately analyze the consciousness state of the brain of the subject.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a system and a method for identifying a brain consciousness state based on an electroencephalogram signal.
The system for identifying the brain consciousness state based on the electroencephalogram signals comprises a brain wave acquisition device and a control device;
the brain wave acquisition device acquires the brain wave signals of the testee in a resting state;
the control device processes the electroencephalogram signals of the testee, judges the brain consciousness state of the testee and outputs the brain consciousness state information of the testee.
Preferably, the control device further comprises a stored brain consciousness state recognition model and a threshold space, and the control device extracts the characteristics of the electroencephalogram signals of the detected person in real time; inputting the features extracted in real time into a brain consciousness state recognition model and calculating to obtain a calculation result, and judging the brain consciousness state of the tested person according to a threshold interval by the calculation result; the control device outputs the consciousness state information of the brain of the tested person.
Preferably, in the control apparatus, the features extracted in real time include electroencephalogram signals reflecting cognitive psychological indicators of the human, including at least α waves, β waves, θ waves, δ waves, γ waves, concentration, and relaxation.
Preferably, the brain consciousness state includes a disorganized state, an eased state, a stopped state and a settled state.
Preferably, the control device comprises a control unit; the control unit stores a brain consciousness state recognition model and a threshold space.
Preferably, the system further comprises a display unit; the display unit receives the brain consciousness state information, displays the brain consciousness state of the testee and feeds the brain consciousness state of the testee back to the testee.
The method for identifying the consciousness state of the brain based on the electroencephalogram signals comprises the following steps:
a signal acquisition step: collecting an electroencephalogram signal of a tested person in a resting state;
recognizing the consciousness state of the brain: the brain consciousness state of the testee is judged by processing the electroencephalogram signals of the testee, and the brain consciousness state information of the testee is output.
Preferably, the brain consciousness state identification step includes the steps of:
identification step 1: extracting the characteristics of the electroencephalogram signal of the tested person in real time;
and (2) identification: and taking the features extracted in real time as input, calculating through the stored brain consciousness state recognition model, and judging the brain consciousness state according to the threshold interval by the calculation result.
Preferably, the method further comprises the step of displaying: receiving the brain consciousness state information, displaying the brain consciousness state of the tested person, and feeding the brain consciousness state of the tested person back to the tested person.
Preferably, the brain consciousness state includes a disorganized state, an eased state, a stopped state and a settled state.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can accurately identify the consciousness state of the brain of the detected person, thereby pertinently distinguishing the consciousness state;
2. according to the invention, by monitoring the brain consciousness state of the psychological sub-healthy person and matching with an effective brain training method, the brain consciousness state can be converted into an peaceful or fixed state, so that the individual psychological health can be effectively improved; furthermore, the individual can know the current psychological state and the reason for the psychological state through consciousness state monitoring and can adopt an effective way to improve the psychological state;
3. the invention guides the individual to practice a specific consciousness training method, monitors whether the brain enters a safe, stopped or fixed state, and can effectively trigger innovative thinking;
4. the feedback result index provided by the invention is novel and original, and has a strong guiding function for various training and creativity activities.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a block diagram of a system for identifying brain consciousness state based on electroencephalogram signals in accordance with the present invention;
FIG. 2 is a flow chart of a method for recognizing brain consciousness state based on electroencephalogram signals according to the present invention;
FIG. 3 is a diagram of a state of disorganized brain awareness;
FIG. 4 is a diagram of a state of brain awareness in peace;
FIG. 5 is a diagram of a state of brain consciousness in rest;
fig. 6 is a diagram of a state in which brain consciousness is constant.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will aid those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any manner. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the concept of the invention. All falling within the scope of the invention.
The embodiment of the invention also discloses a system for identifying the brain consciousness state based on the electroencephalogram signals, which comprises a brain wave acquisition device, a control device and a display unit as shown in figure 1.
The brain wave acquisition device acquires the brain wave signals of the testee in a resting state.
The control device processes the electroencephalogram signals of the testee, judges the brain consciousness state of the testee and outputs the brain consciousness state information of the testee.
The control device also comprises a stored brain consciousness state recognition model and a threshold value space, and the control device extracts the characteristics of the electroencephalogram signals of the detected person in real time; and inputting the features extracted in real time into the brain consciousness state recognition model and calculating to obtain a calculation result, judging the brain consciousness state of the tested person according to the threshold interval by the calculation result, and outputting the brain consciousness state information of the tested person. The control device comprises a control unit; the control unit stores a brain consciousness state recognition model and a threshold space. The features extracted in real time include electroencephalographic signals reflecting cognitive psychometric indicators of a human, including at least alpha waves, beta waves, theta waves, delta waves, gamma waves, concentration, and relaxation. The consciousness states of the brain of the tested person comprise a disordered state, an peace state, a stop state and a fixed state.
The control device analyzes and processes the electroencephalogram signal of the tested person to obtain processed data, inputs the processed data into the brain consciousness state recognition model and calculates to obtain a calculation result, judges the brain consciousness state of the tested person according to the threshold interval of the calculation result, and outputs the brain consciousness state information of the tested person. The brain wave signals collected by the brain wave collecting device are brain wave signals directly reflecting cognitive psychological indexes of people and at least comprise alpha waves, beta waves, theta waves, delta waves, gamma waves, concentration degree and relaxation degree. The stored brain consciousness state recognition model calculates the input brain wave signals to obtain a calculation result, and the calculation result judges which state of disorder, peace, pause and centering of the brain consciousness state of the tested person is according to the threshold interval. The stored brain consciousness state identification model is at least used for calculating the characteristics of the input electroencephalogram signals, and the stored threshold interval is at least used for judging which state the brain consciousness of the tested person is in.
The calculation formula of the brain consciousness state recognition model is as follows:
the range of values for both the degree of relaxation and the degree of concentration is 0-100. The coma entropy represents the calculation result.
The threshold intervals are as follows: the entropy of the wisdom is less than or equal to 0, and the consciousness state of the brain is a disordered state; 0< the cometlientropy is less than or equal to 20, and the brain consciousness state is a steady state; the entropy of the brain is less than or equal to 60 when the entropy is more than 20, and the brain is in a consciousness state; the coma entropy is less than or equal to 100 when the degree of 60 is larger than the degree of coma entropy, and the brain consciousness state is in a fixed state.
The display unit receives the brain consciousness state information, displays the brain consciousness state of the tested person and feeds the brain consciousness state of the tested person back to the tested person. The display unit comprises a feedback module which feeds back the consciousness state of the brain of the testee to the testee.
The invention can accurately analyze the brain consciousness state of the tested person, thereby distinguishing the consciousness state in a pertinence way, on one hand, the invention is beneficial to helping the person to know that the reason why the person is in the psychological sub-health state is because the brain consciousness is in a disordered state, thereby converting the brain consciousness from the disordered state to an peaceful or fixed state through specific brain exercise, and being beneficial to improving the psychological sub-health; on the other hand, the brain consciousness can enter a stopped or fixed state more directly and quickly through specific exercise, so that the brain consciousness can enter an innovative thinking passively and accidentally, and more actively and frequently than before. The method has great value for improving individual innovation thinking ability and promoting enterprise innovation ability.
The main reason that people are in psychological subhealth is that the brain consciousness is in a disordered state, and the brain consciousness state of psychological subhealth people is monitored, and an effective brain training method is matched, such as writing brush characters and fountain pens, practicing meditation, memorial thought, playing tai chi, singing, playing musical instruments, playing chess, moving and the like, so that the brain consciousness state can be converted into an safe or fixed state, and the individual psychological health can be effectively improved; therefore, the individual can know the current psychological state and the reason for the psychological state through consciousness state monitoring, and can adopt an effective mode to improve. The innovative thinking, such as heart flow and consciousness, is generated only when the brain is in a calm, calm or calm state, so that the innovative thinking can be effectively triggered by guiding the individual to practice a specific consciousness training method and monitoring whether the brain enters the calm, calm or calm state.
The embodiment of the invention also provides a method for identifying the brain consciousness state based on the electroencephalogram signals, which comprises the following steps as shown in fig. 2: a signal acquisition step: collecting the EEG signals of the tested person in a resting state.
Recognizing the consciousness state of the brain: the brain consciousness state of the testee is judged by processing the electroencephalogram signals of the testee, and the brain consciousness state information of the testee is output. Inputting the electroencephalogram signals of the analyzed and processed testee into a brain consciousness state recognition model, calculating, and judging the brain consciousness state of the testee according to a threshold interval by using a calculation result; and outputs the consciousness state information of the brain of the tested person.
The brain consciousness state identification step comprises the following steps: identification step 1: and (4) extracting the characteristics of the electroencephalogram signals of the tested person in real time. And (2) identification: the features extracted in real time are used as input, calculation is carried out through the stored brain consciousness state recognition model, and the specific state of the brain consciousness is judged according to the threshold interval according to the calculation result.
A display step: and receiving the brain consciousness state information, displaying the brain consciousness state of the tested person, and feeding back the brain consciousness state of the tested person to the tested person. The brain consciousness state includes disorder state, calm state, stop state and constant state.
As shown in fig. 3, the brain is in a 'disorganized' state of consciousness. As shown in fig. 4, the brain is in a state of consciousness of 'peace'. As shown in fig. 5, the brain is in a state of consciousness of 'stop'. As shown in fig. 6, the brain is in a 'fixed' state of consciousness.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for realizing various functions can also be regarded as structures in both software modules and hardware components for realizing the methods.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (5)
1. A system for identifying brain consciousness state based on electroencephalogram signals is characterized by comprising a brain wave acquisition device and a control device;
the brain wave acquisition device acquires an electroencephalogram signal of a tested person in a resting state;
the control device judges the brain consciousness state of the testee by processing the electroencephalogram signal of the testee and outputs the brain consciousness state information of the testee;
the control device also comprises a stored brain consciousness state recognition model and a threshold value space, and the control device extracts the characteristics of the electroencephalogram signals of the tested person in real time; inputting the features extracted in real time into a brain consciousness state recognition model and calculating to obtain a calculation result, and judging the brain consciousness state of the detected person according to a threshold interval by using the calculation result; the control device outputs the brain consciousness state information of the tested person;
in the control device, the features extracted in real time comprise electroencephalogram signals reflecting cognitive psychological indexes of a human, and at least comprise alpha waves, beta waves, theta waves, delta waves, gamma waves, concentration and relaxation;
the brain consciousness state comprises a disorderly state, an peace state, a stop state and a fixed state;
the computational formula of the brain consciousness state recognition model is as follows:
the value ranges of the relaxation degree and the concentration degree are 0-100, and the cometligo entropy represents a calculation result;
the threshold intervals are as follows: the entropy is less than or equal to 0, and the consciousness state of the brain is a disordered state; 0< the cometlientropy is less than or equal to 20, and the brain consciousness state is a steady state; 20< comet entropy is less than or equal to 60, and the brain is in a consciousness state; 60< the comedy entropy is less than or equal to 100, and the brain consciousness state is a fixed state.
2. The system for recognizing a brain consciousness state based on electroencephalogram signals according to claim 1, wherein said control means includes a control unit; the control unit stores a brain consciousness state recognition model and a threshold space.
3. The system for recognizing a brain consciousness state based on electroencephalogram signals according to claim 1, further comprising a display unit; the display unit receives the brain consciousness state information, displays the brain consciousness state of the testee and feeds the brain consciousness state of the testee back to the testee.
4. A method for recognizing a brain consciousness state based on an electroencephalogram signal, which is applied to the system for recognizing a brain consciousness state based on an electroencephalogram signal according to any one of claims 1 to 3, comprising the steps of:
a signal acquisition step: collecting an electroencephalogram signal of a tested person in a resting state;
recognizing the consciousness state of the brain: the brain consciousness state of the testee is judged by processing the electroencephalogram signals of the testee, and the brain consciousness state information of the testee is output;
the brain consciousness state identification step comprises the following steps:
identification step 1: extracting the characteristics of the electroencephalogram signal of the tested person in real time;
and (2) identification: taking the features extracted in real time as input, calculating through a stored brain consciousness state recognition model, and judging the brain consciousness state according to a threshold interval by a calculation result;
the brain consciousness states comprise a disordered state, an peace state, a stop state and a fixed state;
the computational formula of the brain consciousness state recognition model is as follows:
the value ranges of the relaxation degree and the concentration degree are 0-100, and the cometligo entropy represents a calculation result;
the threshold intervals are as follows: the entropy is less than or equal to 0, and the consciousness state of the brain is a disordered state; 0< the cometlientropy is less than or equal to 20, and the brain consciousness state is a steady state; 20< comet entropy is less than or equal to 60, and the brain is in a consciousness state; the coma entropy is less than or equal to 100 when the degree of 60 is larger than the degree of coma entropy, and the brain consciousness state is in a fixed state.
5. The method for recognizing brain consciousness state based on electroencephalogram signals according to claim 4, further comprising the step of displaying: receiving the brain consciousness state information, displaying the brain consciousness state of the tested person, and feeding back the brain consciousness state of the tested person to the tested person.
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