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Method for extracting motor imagery electroencephalogram characteristics on condition of few channels

A technology of motion imagery and extraction method, applied in the field of biological information, can solve the problems that have not been paid attention to and solved, and achieve the effect of convenient online implementation and small amount of calculation

Active Publication Date: 2015-01-14
上海念通智能科技有限公司
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AI Technical Summary

Problems solved by technology

However, in the case of EEG signals with a small number of channels, the key issue of how to extract features related to motor imagery while maintaining the highest classification accuracy has not been paid attention to and resolved.

Method used

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  • Method for extracting motor imagery electroencephalogram characteristics on condition of few channels
  • Method for extracting motor imagery electroencephalogram characteristics on condition of few channels
  • Method for extracting motor imagery electroencephalogram characteristics on condition of few channels

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Embodiment Construction

[0033] The technical solutions of the preferred embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0034] figure 1 It is a schematic diagram of the principle of the method for extracting EEG features of less-channel motor imagery in a preferred embodiment of the present invention. In this embodiment, the electroencephalogram signal is collected by using a few-channel electrode cap covering the motor sensory area (such as covering C3, Cz, and C4), and the motor imagery output is performed according to the experimental paradigm of left-handed motor imagery.

[0035] The subject sat on the chair after wearing the EEG cap as required, and the monitor was about 1 meter away from the subject's eyes. The sampling frequency of the EEG signal in the brain-computer interface system is set to 250Hz, and a 50Hz notch filter is set to remove power frequency interference.

[0036] During the experiment process, the screen ...

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Abstract

The invention provides a method for extracting motor imagery electroencephalogram characteristics on the condition of few channels. According to the method, multiple coordinate delays of each channel time sequence are utilized for simultaneously optimizing a spatial filter and a high-order multi-parameter FIR filter; a non-parametric method is used for evaluating characteristic quantity and information entropy between categories so as to select time coordinate delays in the optimal number; the high-order FIR filter based on the multiple time coordinate delays has a better amplitude-frequency characteristic compared with an FIR filter with one parameter. The method provides an effective way for extracting categorical features of motor imagery on the condition of few channels.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to a method for extracting motor imagery EEG features with fewer channels. Background technique [0002] Currently, diseases that damage the brain and neuromuscular pathways due to lesions or accidents are incurable with existing medical conditions. For example, there are about 6 million patients with cerebral palsy in China, and children under the age of 12 account for about 1.8 million. These patients lose the ability to control their limbs and take care of themselves. The brain-computer interface (Brain-Computer Interface, BCI) provides the technical basis for manufacturing medical devices to treat and improve the diseases of these patients. Corresponding feature extraction and recognition are performed on the signal, and then the recognition result is input to the corresponding controller as a control quantity to control the corresponding device to help patients ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0476
Inventor 朱向阳孟建军盛鑫军段仁全
Owner 上海念通智能科技有限公司
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