CN111887845A - Attention regulation system based on EEG nerve feedback - Google Patents
Attention regulation system based on EEG nerve feedback Download PDFInfo
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- CN111887845A CN111887845A CN202010755111.9A CN202010755111A CN111887845A CN 111887845 A CN111887845 A CN 111887845A CN 202010755111 A CN202010755111 A CN 202010755111A CN 111887845 A CN111887845 A CN 111887845A
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Abstract
The invention discloses an attention regulating system based on EEG neural feedback, which comprises an EEG signal acquisition module, an EEG signal processing module and a neural feedback control module. The non-invasive EEG signal acquisition of the invention has no damage to human body and remarkable effect, overcomes the problems of great side effect, tiny curative effect of behavior and psychology treatment methods and the like of the existing drug treatment method, and has high time resolution of the EEG signal and better performance on real-time performance; by collecting tested EEG signals, the positioning result of the brain active region is more accurate; the training result is displayed through a video screen and output through voice, so that the tested person can more directly and clearly obtain the training condition and is beneficial to adjusting the next training; the EEG signal acquisition and processing process has the characteristics of time saving, simplicity, high analysis speed, low cost, good result reproducibility and the like. The training system has complete and simple functions, and greatly improves the tested experience.
Description
Technical Field
The invention relates to an attention regulating system based on EEG (electroencephalogram) nerve feedback, belonging to the fields of biomedicine, artificial intelligence and brain-computer interaction.
Background
In China teenager attention survey report release meetings, conference participants clearly indicate that attention is not concentrated for a long time, the problem is not temporary, and the attention research report has a very important effect on development of teenagers. The survey results show that the concentration rate of Chinese teenagers is not high. The most direct influence caused by the inattention is the learning efficiency, which seriously influences the learning achievement. Therefore, how to focus attention on teenagers becomes the focus of attention of researchers.
In the current attention training method, the medicine intervention mainly aims at attention-deficient children, although the effect is obvious, the medicine intervention has side effects, the medicine intervention is easy to repeat after the medicine is stopped, and the healthy growth of the children is influenced by long-time medicine taking. The behavior method has limitations, the intervention effect of a single behavior correction technology or cognitive behavior strategy on attention deficit hyperactivity disorder children is not ideal, only the problem of one aspect of children patients can be improved, and the effect on the improvement of the cognitive function of the children is not great. The sensory integration training requires a huge field and a lot of related training facilities, and a professional person needs to train, which has the defect of long training time.
Neurofeedback is a specialized field in biofeedback that is dedicated to foster human control of electrophysiological processes in the human brain. It emphasizes the self-regulation of cultured individuals, obtains cognition and increases the control of people on the brain. The training effects of neurofeedback include enhancing health, learning, and performance. During the electroencephalogram neurofeedback training, an electroencephalogram is recorded, relevant components are extracted, and then the electroencephalogram is fed back to an individual in a form of audio, visual or combined visual and audio information. The mechanism of neural feedback is the operative conditioned reflex. Although changes in the electroencephalogram are brief, performing a long-lasting neurofeedback based on such changes will improve one's ability and disease.
The biofeedback training is based on hardware, collects EEG signals and trains on a software system platform. At present, many training systems exist, but the subjective intention of a tested person is not considered.
Disclosure of Invention
The invention provides an EEG-based neural feedback attention regulation system, which is used for the attention regulation of a tested person by combining the subjective will of the tested person with a hardware platform.
The technical scheme of the invention is as follows: an attention regulation system based on EEG nerve feedback comprises an EEG signal acquisition module, an EEG signal processing module and a nerve feedback control module;
the EEG signal acquisition module is used for acquiring an EEG signal;
the EEG signal processing module is used for preprocessing an EEG signal and extracting features;
the nerve feedback module is used for starting a set computer game to assist the tested brain nerve training.
The EEG signal acquisition module comprises an EEG cap, a data transmission lead and an EEG amplifier; the electrodes on the EEG cap are arranged according to an international standard 10-20 lead system, the EEG cap is worn correctly by a test, the EEG cap is connected with an EEG amplifier through a data transmission lead, and the EEG amplifier transmits the collected EEG signals to an EEG signal processing module in a computer in real time through the data transmission lead.
The electroencephalogram amplifier adopts NT9200 series.
The EEG signal processing module specifically comprises: performing band-pass filtering, artifact removal and power frequency interference removal on a current EEG signal to be tested, and then performing feature extraction to draw a current brain activity state two-dimensional energy map; the brain activity area state is divided.
The neural feedback module selection game interface consists of 25 squares of 3cm multiplied by 3cm, the 25 squares form a large square, 25 numbers of 1-25 randomly appear in the squares, and each number is present and appears in one square.
The tested mouse clicks the position of each number according to the sequence of 1-25, the computer automatically times the evaluation, and the real-time feedback is given to the tested mouse by voice prompt or view display in a percentage mode.
The system also comprises a history recording module which is used for providing inquiry and deletion of the user training historical data.
The invention has the beneficial effects that: the non-invasive EEG signal acquisition of the invention has no damage to human body and remarkable effect, overcomes the problems of great side effect, tiny curative effect of behavior and psychology treatment methods and the like of the existing drug treatment method, and has high time resolution of the EEG signal and better performance on real-time performance; by collecting tested EEG signals, the positioning result of the brain active region is more accurate; the training result is displayed through a video screen and output through voice, so that the tested person can more directly and clearly obtain the training condition and is beneficial to adjusting the next training; the EEG signal acquisition and processing process has the characteristics of time saving, simplicity, high analysis speed, low cost, good result reproducibility and the like. The training system has complete and simple functions, and greatly improves the tested experience. The invention uses the electroencephalogram neural feedback for training to enhance the attention of ordinary people for the first time, and has important practical application value in the aspects of brain-computer interfaces, neural feedback and the like.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a basic feedback diagram of the present invention;
FIG. 3 is a training flow diagram of the present invention;
fig. 4 is a schematic diagram of a computer game with a neural feedback control module.
Detailed Description
Example 1: as shown in fig. 1-4, an EEG based neurofeedback attention modulation system comprises an EEG signal acquisition module, an EEG signal processing module, and a neurofeedback control module; the EEG signal acquisition module is used for acquiring an EEG signal; the EEG signal processing module is used for preprocessing an EEG signal and extracting features; the nerve feedback module is used for starting a set computer game to assist the tested brain nerve training.
Further, the EEG signal acquisition module can be arranged to comprise an EEG cap, a data transmission lead and an EEG amplifier; the electrodes on the EEG cap are arranged according to an international standard 10-20 lead system, the EEG cap is worn correctly by a test, the EEG cap is connected with an EEG amplifier through a data transmission lead, and the EEG amplifier transmits the collected EEG signals to an EEG signal processing module in a computer in real time through the data transmission lead.
Further, the electroencephalogram amplifier can be set to adopt NT9200 series.
Further, the EEG signal processing module may specifically be: performing band-pass filtering, artifact removal and power frequency interference removal on a current EEG signal to be tested, and then performing feature extraction to draw a current brain activity state two-dimensional energy map; the brain activity area state is divided.
Further, the neurofeedback module may be configured to select that the game interface is composed of 25 squares of 3cm × 3cm, the 25 squares forming a large square, and a total of 25 numbers of 1-25 randomly appear in the squares, each number being present and appearing in one of the squares.
Further, the tested mouse can be arranged to click the position of each number in the sequence of 1-25, the computer automatically counts the evaluation, and the real-time feedback is given to the tested mouse in a percentage mode by using voice prompt or view display.
Further, a history recording module is provided and is used for providing inquiry and deletion of the user training history data.
The working process of the invention is as follows: the subject wears the electroencephalogram cap correctly according to the requirement and collects EEG signals in real time; the EEG data acquisition module is used for acquiring EEG data of a brain, and transmitting the acquired EEG data to a signal processing module in a computer in real time, wherein the signal processing module is used for preprocessing an EEG signal to be tested, drawing EEG data into a two-dimensional energy map, and dividing the brain activity area state into an active area and an inactive area; for the non-active area in the brain, the nerve feedback control module starts a designated computer game to assist the tested brain nerve training, so that the aim of improving the brain attention is fulfilled; the testee can also carry out a plurality of times of training according to the activity state of the testee. After training is finished, the tested person can check the historical records of the training results and summarize the training results so as to improve the training efficiency.
While the present invention has been described in detail with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (7)
1. An EEG-based neurofeedback attention modulation system, comprising: the system comprises an EEG signal acquisition module, an EEG signal processing module and a nerve feedback control module;
the EEG signal acquisition module is used for acquiring an EEG signal;
the EEG signal processing module is used for preprocessing an EEG signal and extracting features;
the nerve feedback module is used for starting a set computer game to assist the tested brain nerve training.
2. The EEG based neurofeedback attention modulation system of claim 1, wherein: the EEG signal acquisition module comprises an EEG cap, a data transmission lead and an EEG amplifier; the electrodes on the EEG cap are arranged according to an international standard 10-20 lead system, the EEG cap is worn correctly by a test, the EEG cap is connected with an EEG amplifier through a data transmission lead, and the EEG amplifier transmits the collected EEG signals to an EEG signal processing module in a computer in real time through the data transmission lead.
3. The EEG based neurofeedback attention modulation system of claim 2, wherein: the electroencephalogram amplifier adopts NT9200 series.
4. The EEG based neurofeedback attention modulation system of claim 1, wherein: the EEG signal processing module specifically comprises: performing band-pass filtering, artifact removal and power frequency interference removal on a current EEG signal to be tested, and then performing feature extraction to draw a current brain activity state two-dimensional energy map; the brain activity area state is divided.
5. The EEG based neurofeedback attention modulation system of claim 1, wherein: the neural feedback module selection game interface consists of 25 squares of 3cm multiplied by 3cm, the 25 squares form a large square, 25 numbers of 1-25 randomly appear in the squares, and each number is present and appears in one square.
6. The EEG based neurofeedback attention modulation system of claim 5, wherein: the tested mouse clicks the position of each number according to the sequence of 1-25, the computer automatically times the evaluation, and the real-time feedback is given to the tested mouse by voice prompt or view display in a percentage mode.
7. The EEG based neurofeedback attention modulation system of claim 1, wherein: the system also comprises a history recording module which is used for providing inquiry and deletion of the user training historical data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114377269A (en) * | 2022-01-12 | 2022-04-22 | 褚明礼 | Method and device for determining balance ability index |
| CN115445047A (en) * | 2022-08-25 | 2022-12-09 | 石海龙 | Attention training terminal and attention training server |
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Application publication date: 20201106 |