Wavelet Based Seizure Detection using Scalp EEG
Journal Title: International Journal of Medical Science and Innovative Research (IJMSIR) - Year 2018, Vol 3, Issue 3
Abstract
Epilepsy, the most common neurological disorder characterized by sudden and recurrent neuronal firing in the brain can be detected by analyzing electro-encephalogram of the subject. EEG signal processing consists of three steps such as preprocessing, feature extraction and classification. In this paper, the wavelet transform based method have been applied for feature extraction in EEG signals. Eight features were extracted over wavelet coefficients. When trained on about 60% of data and tested on the remaining data using Linear classifier, the results obtained was an accuracy of 92.5%, sensitivity of 90.5%, and specificity of 94.5%.
Authors and Affiliations
Rahna P
Keywords
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