Electroencephalogram signal noise elimination method

Abstract

The invention relates to an electroencephalogram signal noise elimination method based on a DTCWT-EEMD algorithm. The method comprises the following steps that ensemble empirical mode decomposition is performed on the acquired electroencephalogram signals by using an EEMD algorithm so that intrinsic components including different band information are obtained; multiple components mainly including high frequency random noise of the obtained intrinsic components are selected, and the components are decomposed by using a DTCWT algorithm so that a series of wavelet coefficients corresponding to noise components are obtained; wavelet coefficient processing is performed on the wavelet coefficients corresponding to the random noise by using a soft threshold method, and the wavelet coefficients corresponding to the random noise are cleared so that the effect of noise elimination can be realized; and DTCWT inverse algorithm reconstruction is performed on the wavelet coefficients through noise elimination processing so that the denoised intrinsic components are obtained, then adding and reconstruction are performed on the denoised intrinsic components and the residual intrinsic components representing signal useful information and thus the final denoised electroencephalogram signals are obtained. Noise elimination can be realized and the integrity of the useful information can be effectively guaranteed.

Description

technical field [0001] The invention relates to the technical field of electroencephalogram signal denoising, in particular to a method for denoising an electroencephalogram signal. Background technique [0002] Due to the unique complexity and functionality of the brain, humans have always been eager to understand its operating mechanism, so as to protect the brain, treat brain diseases, and even copy the brain to achieve artificial replacement of many functions of the brain. Therefore, to explore the brain and reveal the cognitive mechanism of the brain It is an important and challenging scientific proposition in the process of human beings exploring themselves and understanding nature. [0003] The brain controls and coordinates a series of operations such as language, thinking, cognition, emotion, and movement in human daily life through a large number of nerve cells, and the activity of nerve cells is accompanied by electrical activity. From this, people realized that ...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a method for removing noise from EEG signals, which is based on the DTCWT-EEMD fusion algorithm, which to a large extent makes up for the defects of traditional denoising methods, and effectively guarantees Integrity of useful information

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