منابع مشابه
Artifact Removal from EEG Signals
Electroencephalographic (EEG) recordings are often contaminated with several artifacts.Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common s...
متن کاملArtifact removal from EEG signals using adaptive filters in cascade
Artifacts in EEG (electroencephalogram) records are caused by various factors, like line interference, EOG (electro-oculogram) and ECG (electrocardiogram). These noise sources increase the difficulty in analyzing the EEG and to obtaining clinical information. For this reason, it is necessary to design specific filters to decrease such artifacts in EEG records. In this paper, a cascade of three ...
متن کاملArtifact Removal from Eeg Recordings – an Overview
Electrical impulses generated by nerve firings in the brain diffuse through the head and can be measured by electrodes placed on the scalp, is known as electroencephalogram (EEG) and was first measured in humans by Hans Berger in 1929. The EEG gives a coarse view of neural activity and has been used to noninvasively study cognitive processes and the physiology of the brain. The analysis of EEG ...
متن کاملA Survey on Methods on Artifact Removal from EEG
Important methods concerning artifact removal from EEG signals has been briefly described pertaining to its significance and its drawbacks. Some methods described herein range from conventional methods such as linear filtering, Linear combination and regression (LCR) to more contemporary methods such as blind source separation (BSS) with applications such as Principal component analysis (PCA) a...
متن کاملOcular Artifact Removal from EEG Using Stationary Wavelet Enhanced ICA
To analyze EEG accurately, it is necessary to remove artifacts from EEG, which gets coupled with signal at the time of recording and can’t be eliminated at preprocessing stage. Ocular artifact is most obvious artifact in EEG. In this paper, a new method using Stationary Wavelet Enhanced Independent Component Analysis with a novel thresholding, is proposed for ocular artifact removal from EEG. P...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/13543-1175