Artifacts Removal in EEG Data

6 Pages Posted: 29 Mar 2019

See all articles by Suyash Bajpai

Suyash Bajpai

National Institute of Technology (NIT), Raipur

Hemant Kumar Moolchandani

National Institute of Technology (NIT), Raipur

Mridu Sahu

National Institute of Technology (NIT), Raipur

Samrudhi Mohdiwale

National Institute of Technology (NIT), Raipur

Date Written: 2018

Abstract

Every real time signal composed of original signal affected by some environmental factors called artifact. The paper incorporates the artifact in the EEG signal. Artifacts in electroencephalography (EEG) are the signal that are not desired and which may induce changes in the frequency and affect the signal. The best way of working with electroencephalography (EEG) signal is to completely avoid the happening of artifacts when recording starts, the electroencephalography signal often is contaminated by different physiological factors other than internal activity, which are of no interest. For instance, ocular movements, cardiac activity, muscular activity and eye blinks are among the most common types of artifacts. In this paper Ocular artefact is considered for evaluation of filtering methods to remove artifact among various type of artifacts present in EEG signal. Adaptive filters adjust itself as the data changes continuously with time hence best suited for nonstationary signal like EEG. In this paper LMS, RLS techniques of adaptive filtering is applied to evaluate the performance of the method for successfully removal of noise in EEG signal.

Suggested Citation

Bajpai, Suyash and Kumar Moolchandani, Hemant and Sahu, Mridu and Mohdiwale, Samrudhi, Artifacts Removal in EEG Data (2018). International Journal of Computational Intelligence & IoT, Vol. 2, No. 4, 2018. Available at SSRN: https://ssrn.com/abstract=3361560

Suyash Bajpai (Contact Author)

National Institute of Technology (NIT), Raipur

Raipur 492010
Chhattisgarh
Raipur
India

Hemant Kumar Moolchandani

National Institute of Technology (NIT), Raipur ( email )

Raipur 492010
Chhattisgarh
Raipur
India

Mridu Sahu

National Institute of Technology (NIT), Raipur

Raipur 492010
Chhattisgarh
Raipur
India

Samrudhi Mohdiwale

National Institute of Technology (NIT), Raipur ( email )

Raipur 492010
Chhattisgarh
Raipur
India

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