Digital integrated circuit used for single-channel electroencephalogram signal denoising

Abstract

The invention discloses a digital integrated circuit used for single-channel electroencephalogram signal denoising. The circuit comprises a single-stage wavelet transform circuit module, a mean value removal circuit module, a whitening circuit module and an iterative separation circuit module, wherein a single-channel electroencephalogram signal which contains other human body biological signals is generated into a two-dimensional signal through the single-stage wavelet transform circuit module; the two-dimensional signal is converted into a two-dimensional zero mean value signal; then, the two-dimensional zero mean value signal is processed by three circuit submodules including a covariance matrix calculation module, an EVD (Eigenvalue Decomposition) circuit and a whitening signal generation circuit in the whitening circuit module to be converted into a whitening signal; the whitening signal serves as the input of the iterative separation circuit module; firstly, through an iterative circuit, a demixing matrix is calculated; and then, through a separation circuit, a separation operation is carried out to separate a pure electroencephalogram signal from a noise signal. By use of the circuit, other human body biological signals mixed in the interfered electroencephalogram signal are separated from an original electroencephalogram signal to achieve a denoising purpose.

Description

technical field [0001] The present invention relates to a technology in the field of EEG signal denoising, in particular to an integrated circuit for removing interference from other human biological signals in a single-channel EEG signal. Background technique [0002] EEG signal is an electrical signal sent by the brain, which is the overall reflection of the electrophysiological activity of brain nerve cells on the surface of the cerebral cortex or scalp. EEG signals contain a large amount of physiological and disease information, which can provide diagnostic basis for some brain diseases in clinical medicine. Electroencephalography has the advantages of non-invasiveness and rapidity, which makes it the most commonly used clinical detection method for brain diseases. EEG research has become a popular research direction in recent years. Relevant research attempts to clarify the internal structure, division of labor and working principles of the brain. However, the current ...

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Problems solved by technology

However, there is no report on the application of Wavelet-ICA to single-channel EEG signal denoising using integrated circuit technology.

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