Feature extraction method based on brain electrical signal and detection and extraction system thereof

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 ...

AI Technical Summary

Problems solved by technology

However, although this patent can be used to collect and analyze the EEG signals in various sensory regions of the viewer, it can only reflect the true feelings of the viewer, but it does not have the functions of attention training and auditory tracking classification, and cannot be used to improve attention, thereby Realize the effect of improving learning efficiency

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