Canvassing Various Techniques for Removal of Biological Artifact in EEG
Ashish Raj1, Akanksha Deo2, Manoj Kumar Bandil3
1Mr. Ashish Raj, Assistant. Prof, Department of Electrical Engineering, IITM, Gwalior (M.P), India.
2Ms. Akanksha Deo, Assistant. Prof, Department of Electrical Engineering, IITM, Gwalior (M.P), India.
3Mr.Manoj Kumar Bandil, Associate Prof, Department Of Electrical Engineering, IITM, Gwalior (M.P), India.
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 149-154 | Volume-1 Issue-3, August 2012 | Retrieval Number: C0294071312/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: EEG is an important tool for diagnosis, monitoring and managing various nervous disorder .It is a neurophysiologic measurement of the electric activity of bioelectric potential of brain. The electrical activity of brain changes in accordance with various parameters inside & outside environment. To study human physiology with respect to EEG, bioelelectric potential of brains is recorded with help of electrodes. These raw signals are firstly processed with help of mathematical tools in order to make them more and more informative. The informative signal thus calculated from recording is known as ERP (event related potential). These ERP data are very specific and it changes with every physiological & biological change in human body. The analysis of ERP has got a wide range of clinical importance. It serves as a base for diagnosis and detection of various diseases. ERP are also helpful in designing various emotion sensor interfaces. But there are certain artifacts which are present in raw EEG recording. These artifacts make the ERP contaminated and it introduces inconsistency in the output. Thus it is necessary to eliminate these artifacts from the EEG. The ERP generated from artifacts free EEG are most suitable for versatile researches and efficient diagnosis. The clinical information thus obtained is of considerable importance in identifying different pathologies. Artifacts in EEG signals arise due to two types of factors; Biological factors and External factors. The Biological factors are caused by EOG (Elecro-oculogram), ECG (Electrocardiogram), EMG (Electromyogram) and Respiratory (PNG).The External factors are caused due to line-interference, leads and electrodes. These noises have an adverse effect on EEG signals and act as a hindrance to obtain clear cut information from EEG signals. This is a paper scrutinizing different methods for removing artifacts with illustrating characteristics of a good informative EEG signal
Keywords: EEG; EMG; ECG; Ocular Artifacts; Muscular Artifacts; Spike Detection; Wavelet Transform; Neural network.
Scope of the Article: Transformation