Wheelchair brainwave control device and control method

Abstract

The invention discloses a wheelchair brainwave control device. The device comprises a stimulus source, a brainwave signal obtaining device, a computer, a data processor and a wheelchair control circuit. The invention further discloses a wheelchair brainwave control method. The method comprises the following steps of 1, obtaining and uploading of brainwave signals, 2, calculation of brainwave frequency values; 3, judgment of control information; 4, output of the control information; 5, execution of the control information; 6, analysis and processing of next brainwave frequency values. A color flickering vision stimulator is adopted, the distinguishing rate induced by brainwave signals is increased, each color flicking block alternately flickers with two flickering frequencies, the monotony of the stimulus source is avoided, a golden section method is adopted to divide a sampling period, the effectiveness of brainwave inducing is guaranteed, a DB4 wavelet function of which the Vanishing matrix order is 4 is adopted to conduct wavelet packet decomposition on the brainwave signals, the interference information is inhibited, the accuracy of brainwave control is improved, and convenience is brought to specific disabled people.

Description

technical field [0001] The invention belongs to the technical field of brain wave control, and in particular relates to a wheelchair brain wave control device and a control method. Background technique [0002] Brain waves are one of the basic characteristics of life activities. The bioelectrical signal generated in the brain during human thinking activities is brain wave, which is mainly formed by the synchronous sum of the post-synaptic potential of a large number of neurons in the cortex, and is the result of the joint activity of many neurons. Our brains are producing brain waves all the time. [0003] The plasticity of the brain is that new connections can be made between nerves and old connections can be lost. In simple terms, people can connect things because they connect when nerves fire simultaneously, and vice versa. When people generate specific brain waves according to equipment requirements, they will unconsciously strengthen the connections between neural gr...

AI Technical Summary

Problems solved by technology

Most of the current brain wave signal processing uses Fourier transform for brain wave analysis. Fourier transform only extracts the frequency domain information of the brain wave signal, and loses the time domain information of the brain wave signal. The timeliness of brain wave control needs to be improved.

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