Feature extraction method based on brain electrical signal and detection and extraction system thereof
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An EEG signal extraction system technology, applied in diagnostic recording/measurement, medical science, psychological devices, etc., can solve the problems that do not have the function of attention training, auditory tracking and classification, and cannot be used to improve attention
Active Publication Date: 2018-07-03
CHONGQING UNIV OF POSTS & TELECOMM
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Embodiment 1
[0037] Attention training system based on EEG signal and its feature extraction method, including auditory stimulation module, EEG signal acquisition module, feature extraction and training module and auditory tracking classification module, such as figure 1 Shown.
[0038] The auditory stimulation module selects an auditory stimulator to induce the user to generate brain electrical signals. The auditory stimulator can be a commonly used audio player in the market (mobile phone, MP3, MP4, etc.).
[0039] The auditory stimulator emits simple multiple mixed sound objects, such as'tiger ready to choose red','gecko ready to choose green','tiger ready to choose green','gecko ready to choose red', etc. Red and green correspond to buttons 1 and respectively 2. The user sets the goal according to his own preferences, such as "tiger". If you hear the tiger say red, press 1; if you hear the tiger choose green, press 2 and don't listen to the color chosen by the gecko. The auditory stimulator...
Embodiment 2
[0092] The auditory stimulation module in Embodiment 1 contains several audios for stimulating hearing, and can be downloaded online, providing users with a variety of auditory stimulation options.
[0093] The training module includes three modes, namely single-user training mode, direct classification mode, and single-user restart mode. The single-user training mode is a form of training plus classification, in which users perform model training for a period of time before classification , Its accuracy rate is higher, but the training time is also longer; the direct classification mode is suitable for experiencers. In this mode, the training model of many people has been integrated by default in the trainer, and the user directly uses the trained model For prediction and classification, this method does not require training, but due to individual differences, the accuracy rate will be relatively low; single-user restart mode, for long-term users, the pre-training part of these u...
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Abstract
The invention belongs to the field of brain electricity-assisted auditory sense attention, aims at realizing a correct tracking function of a person on an auditory object and discloses a detection andextraction system based on a brain electrical signal. The system comprises an auditory stimulation module used for inducing a user to produce brain electricity, a brain electrical signal acquisitionmodule, a feature extracting and training module and an auditory sense tracking and classifying module, wherein the brain electricity signal acquisition module utilizes an electrode contacted with head surface of the user, acquires the brain electrical signal of the user and preprocesses the brain electrical signal; the feature extracting and training module carries out feature extraction on the preprocessed brain electrical signal and trains a model; and the auditory sense tracking and classifying module converts a brain electricity feature classification result into a classification value and calculates accuracy according to the classification value, and the accuracy is used for grading attention. A feature extraction method adopted by the feature extracting and training module combinescharacteristics of rhythm and information entropy, and noise can be effectively inhibited, so that the obtained brain electrical signal is more accurate.
Description
Technical field [0001] The invention relates to the field of assisted auditory attention based on EEG, and specifically relates to an attention training system based on EEG signals and a feature extraction method used by the system. Background technique [0002] As we all know, improving attention is an effective way to improve learning efficiency. Some people even think that attention is learning ability. At present, for the training of auditory attention, many fun games have been born, such as "what did you hear", "see who can hear accurately" and so on. However, these games are mostly aimed at children and often require multiple people to participate. This obviously limits the training time and external conditions, which makes it difficult to develop. In addition, for people with dyskinesias, these traditional training methods are not suitable for them due to their own motor function limitations. With the emergence of brain-computer interface technology, the above-mentioned ...
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