International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation Analysis of Brain Signal for the Detection of Epileptic Seizure, Authors : Sumit Kumar Srivastava, Sharique Ahmed, Mohd Maroof Siddiqui, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 5, Issue 5, May 2016

Title:
Analysis of Brain Signal for the Detection of Epileptic Seizure
Author Name:
Sumit Kumar Srivastava, Sharique Ahmed, Mohd Maroof Siddiqui
Abstract:
ABSTRACT The electroencephalogram (EEG) signal is very important in the diagnosis of epileptic seizure. Long-term EEG recordings of an epileptic patient contain a huge amount of EEG data. The detection of epileptic activity is, therefore, a very demanding process that requires a detailed analysis of the entire length of the EEG data, usually performed by an expert. This paper describes a classification of EEG signals for the detection of epileptic seizures using high pass filter and comparing the results with low pass filter through Matlab software. The proposed methodology was applied on EEG data sets that belong to three epileptic subjects during a seizure. The results confirmed that the proposed algorithm has a potential in the classification of EEG signals and detection of epileptic seizures, and could thus further improve the diagnosis of epilepsy. Keywords: Introduction, EEG Signal and Epilepsy, EEG waves, Positioning of electrodes, Material and methods, Results, Conclusion
Cite this article:
Sumit Kumar Srivastava, Sharique Ahmed, Mohd Maroof Siddiqui , " Analysis of Brain Signal for the Detection of Epileptic Seizure " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 5, Issue 5, May 2016 , pp. 283-287 , ISSN 2319 - 4847.
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