Title: EEG Analysis using Chi-square Association Metric
Abstract: AbstractThe detection of neural spike activity is a technical challenge that needs to be studied for examining many types of brain functions. This paper presents some aspects of fast non-linear association measures, based on the work of Cramer (V) and Sakoda’s adjusted Pearson’s C, (C*). The features of these new measures like the V measure and Sakoda’s measure are manifested when applied to bio-signals like Electroencephalographic (EEG) signals. A comparative study with other well known association measures of EEG signals is presented. Based on the analysis of the experimental results it can be concluded that Sakoda’s adjusted Pearson’s measure produces better results than other measures. The following results are also verified (1) Chi-squared --(χ2) value which is approximately equal to 2N times the Mutual Information (Ml) and (2). The value of the Information Transmission coefficient Txy without and with V yielded approximately the same result. This proposal aims at optimizing the resources such as time and memory storage by reducing the number of electrodes.Indexing terms: EpilepsyNonlinear association measureChi-Square Additional informationNotes on contributorsY PadmasaiY Padmasai obtained her BTech degree from Nagarjuna University, Guntur in 1989, and ME in Systems and Signal Processing from Osmania University, Hyderabad in 1998. She Started carrier as Quality Control Engineer and served for 5 years in M/s Suchitra Electronics Pvt Ltd, Hyderabad from Feb 1991 to May 1996. Lecturer in the Department of ECE in Deccan College of Engineering and Technology, Hyderabad served for one year from Jan 1998 to December 1998. Lecturer in the Department of ECE VNRVJIET from July 1999 to 10th November 2000. Associate Professor in the Department of ECE VNRVJIET from 11th November 2000 to till date. She is a member of ISTE and Fellow of lETE. She presented 7 research papers in National and International Conferences. Her areas of research interest are Bio-medical, Signal and Image Processing.K Subba RaoK Subba Rao obtained his BE degree from Sri Venkateshwara University, Tirupati in 1974, and MTech and PhD in Electronics & Communication Engineering from Osmania University, Hyderabad in 1977 and 1998 respectively. He started his carrier as a lecturer in Department of ECE, Osmania University, Hyderabad. From February 1981 to September 1991. Associate Professor, from 1991 to January 2003. In February 2003 he is elevated as Professor. Currently, he is the Head of the Department. He also served as chairman, BOS in ECE (Osmania University, Hyderabad). He is a member of IEEE and Fellow of IETE. He presented more than 50 research papers in National and International Journals/Conferences. His areas of research interest are Signal Processing & Signal Design and Modeling of Biological systems.C Raghavendra RaoRaghavendra Rao, Chillarige was born at Guntur, India in 1958. BSc and MSc in Statistics from Andhra University and Osmania Univeristy in 1978 and 1980 respectively. PhD in Statistics and MTech (CSE) from Osmania University in 1986 and 1999 respectively. He worked as a lecturer in Statistics at Osmania University from 1984 to 1986. Since 1986, he is working in the School of Mathematics and Computer/ Information Sciences, University of Hyderabad. Presently, he is a Professor in the Department of CIS. His current research interests are Simulation & Modeling and Knowledge Discovery. He is a member of the Operation Research Society of India, International Association of Engineers, Society for Development of Statistics, Andhra Pradesh Society for Mathematical Sciences, Indian Society for Probability and Statistics, Indian Mathematical Society and Society for High Energy Materials, also a Fellow of the Institution of Electronics and Telecommunication Engineers and Society for Sciences.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 4
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