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Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction

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Avinash Tandle, Nandini Jog, Pancham D'cunha, Monil Chheta. Published in Signal Processing.

Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction
Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 4 Number 1
Authors: Avinash Tandle, Nandini Jog, Pancham D'cunha, Monil Chheta
10.5120/cae2016651997
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Avinash Tandle, Nandini Jog, Pancham D'cunha and Monil Chheta. Article: Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction. Communications on Applied Electronics 4(1):12-19, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Avinash Tandle and Nandini Jog and Pancham D'cunha and Monil Chheta},
	title = {Article: Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {1},
	pages = {12-19},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

EEG is a record of brain activity from various sites of the brain and artefacts are unwanted noise signals in an EEG record. Classification of artefacts is based on the source of generation like physiological artefacts and external artefacts. The body of the subjects is the main source of Physiological artefacts, while external artefacts are from outside the body due to the environment and measurement device. Recognition, identification and elimination of artefacts is an important process to minimize the chance of misinterpretation of EEG. Clinical and non-clinical fields such as brain computer interface, intelligent control system robotics etc.all require removal of artefacts. Artefacts can be removed very easily using manual and filtering methods because of their morphology and electrical characteristic. Electro Oculogram (EOG) artefact using manual and filter method is very difficult to remove. Artefact removing algorithms are the most suited techniques for EOG artefact removal. This paper classifies the artefacts from the database collected at Dr. R. N. Cooper Municipal General Hospital, Mumbai India. The paper deals with the EOG artefact removal using the EOG subtraction algorithm.

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Keywords

EEG, Artefact, EOG, EMG.