Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

EEG Signal Classification Using Feature Level Fusion

Author : Rohini Darade 1 Prof. S. R. Baji 2

Date of Publication :11th August 2017

Abstract: Human brain is a diverse creature, and unveils rich spatiotemporal dynamics. Among the noninvasive techniques for probing human brain dynamics, electroencephalography (EEG) provides a direct measure of cortical activity with millisecond temporal resolution. Electroencephalogram is a signal produced in the human brain when there is an information flow among several neurons. Human brain contains millions of neurons which are responsible for information flow. We have classified the publically available dataset for testing between normal and epileptic persons. We have achieved accuracy of 99.88% which is highest accuracy on this dataset.

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