Recurrent Neural Network based Efficient Adaptive Filtering Technique for the Removal of Ocular Artefacts from EEG

Abstract

The electroencephalogram (EEG) is affected by artefacts. Ocular artefacts make it difficult to distinguish normal brain activities from the abnormal ones. The random nature of ocular artefacts and spectral overlap between ocular artefacts and some brain signals make it necessary that ocular artefacts removal should be adaptive. In this paper an efficient technique suitable for real-time applications is proposed for the adaptive removal of ocular artefacts from EEG. This combines two popular adaptive filtering techniques, namely adaptive noise cancellation and adaptive signal enhancement, in a single recurrent neural network. Real time recurrent learning algorithm is employed for training the proposed neural network which converges faster to a lower mean squared error.

Additional information

Notes on contributors

S Selvan

S Selvan, obtain his BE in Electronics and Communication Engineering in 1977 and ME in Communication Systems in 1979 both from University of Madras. He worked as a Lecturer at PSG College of Technology, Coimbatore from 1979 to 1985. Then he joined PSNA College of Engineering and technology, Dindigul in 1985 and he is now working there as Professor of Electronics and Communication Engineering. He has submitted his PhD Thesis to Madurai Kamaraj University. His areas of interest include neural networks, adaptive fillers, biomedical signal processing and adaptive arrays. He has 22 publications in International and National conferences and Journals. He is a senior member of IEEE and a Fellow of the Institution of Electronics and Telecommunication Engineers.

R Srinivasan

Rengaramanujam Srinivasan, obtained his BE in Electrical & Electronics Engineering in 1962 (University of Madras). ME Power Electrical in 1964 (MSc) and PhD in Electrical in 1970 (IIT. Kharagpur). He joined Thiagarajar College of Engineering, Madurai in 1964 as Associate Lecturer and retired as the Principal of that College in 1998. Currently he is working as the Principal of Dr MGR College of Engineering, Chennai. He has more than two dozen publications in National and International Journals. He is presently working in neural networks. The other areas of his interest are energy audit & energy conservation.