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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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A survey on different noise removal techniques of EEG signals

PRIYANKA KHATWANI, ARCHANA TIWARI Asst. Professor, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India Assoc. Professor& Head, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India

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Abstract: Electroencephalogram (EEG) signal is the recording of spontaneous electrical activity of the brain over a small interval of time. Signals are produced by bombardment of neurons within the brains which are measured and evaluated by EEG.EEG signals are lowvoltage signals that are contaminated by various types of noises that are also called as artifacts.As these signals are used to diagnose various types of brain related diseases like narcolepsy,Sleep apneasyndrome,Insomnia and parasomnia it becomes necessary to make these signals free from noise for proper analysis and detection of the diseases. Variousnoise removal techniques are available and can be implemented in mat lab. The methods that are discussed in this paper are: ICA,PCA, WaveltTransform and WaveletPacketTransform. All the above methods can be implemented for EEG signal denoising.Various methods of denoising are studied and considering advantages and disadvantages of all the methods it is concluded that wavelet method of denoising and its enhancement wavelet packet is best.

Keywords: EEG, PCA, ICA, Wavelt Transform and Wavelet Packet Transform.

How to Cite:

[1] PRIYANKA KHATWANI, ARCHANA TIWARI Asst. Professor, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India Assoc. Professor& Head, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India, “A survey on different noise removal techniques of EEG signals,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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