Motion imagination EEG classification processing method based on sparse representation classification algorithm

Abstract

The invention belongs to the field of EEG signal identification and artificial intelligence, and particularly relates to a motion imagination EEG classification processing method based on a sparse representation classification algorithm. The invention includes that a subject wears a scalp electrode cap with wireless or wired transmission on head in an environment with less external interference and imagines the movements based on the prompting, the EEG cap detects the EEG signals of the subject, and then the EEG signals are subjected to preliminary bandpass filtering, and the filtered EEG signals are imported to a host computer to be stored; and the host computer software organizes and marks the imported original EEG signals and makes a sample set and a test set for classification. According to the invention, only a large dictionary matrix is calculated and constructed once, the subsequent processing is calculated by means of sparse representation coefficient matrix, so that the data size of multi-channel motion imagination EEG information is greatly reduced, the data calculation pressure is reduced, and the operation speed is improved.

Description

technical field

[0001] The invention belongs to the field of electroencephalogram signal recognition and the field of artificial intelligence, and in particular relates to a motor imagery electroencephalogram classification processing method based on a sparse representation classification algorithm. Background technique

[0002] Since human society entered the 21st century, the research of brain science and cognitive science has been paid more and more attention. Human beings have never stopped exploring their own brain intelligence. A century of science". The United States, the European Union, and Japan have successively invested huge sums of money to start the Human Brain Project. The State Council of China has approved the "China Brain Project". As one of the six long-term important scientific projects in my country, the project will receive long-term funding. As an emerging branch of applied research in brain science, research on brain-computer interface technology is a...

Examples

Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] Step (1). In an environment with less external interference, the tester wears a scalp electrode cap with wireless or wired transmission on his head, and imagines various movements such as left hand movement and right hand movement according to the prompts, and the EEG cap detects The EEG signal of the tester is then preliminarily band-pass filtered, and the filtered EEG signal is transmitted to the host computer for storage. The host computer software automatically and manually organizes and marks the incoming raw EEG signals, and produces sample sets and test sets for classification. In this method, the number of electrode channels of the subject wearing an electrode cap is 118.

[0029] Step (2). Based on the inherent ERD / ERS characteristics of the motor imagery EEG signal, the upper computer software uses the common spatial mode filter to extract dimensional...

technical field

[0001] The invention belongs to the field of electroencephalogram signal recognition and the field of artificial intelligence, and in particular relates to a motor imagery electroencephalogram classification processing method based on a sparse representation classification algorithm. Background technique

[0002] Since human society entered the 21st century, the research of brain science and cognitive science has been paid more and more attention. Human beings have never stopped exploring their own brain intelligence. A century of science". The United States, the European Union, and Japan have successively invested huge sums of money to start the Human Brain Project. The State Council of China has approved the "China Brain Project". As one of the six long-term important scientific projects in my country, the project will receive long-term funding. As an emerging branch of applied research in brain science, research on brain-computer interface technology is a...

Examples

Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] Step (1). In an environment with less external interference, the tester wears a scalp electrode cap with wireless or wired transmission on his head, and imagines various movements such as left hand movement and right hand movement according to the prompts, and the EEG cap detects The EEG signal of the tester is then preliminarily band-pass filtered, and the filtered EEG signal is transmitted to the host computer for storage. The host computer software automatically and manually organizes and marks the incoming raw EEG signals, and produces sample sets and test sets for classification. In this method, the number of electrode channels of the subject wearing an electrode cap is 118.

[0029] Step (2). Based on the inherent ERD / ERS characteristics of the motor imagery EEG signal, the upper computer software uses the common spatial mode filter to extract dimensional...

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