Research Article
Channel Selection and Feature Enhancement for Improved Epileptic Seizure Onset Detector
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257277, author={Marwa Qaraqe and Muhammad Ismail and Erchin Serpedin and Abbasi Qammer Hussain}, title={Channel Selection and Feature Enhancement for Improved Epileptic Seizure Onset Detector}, proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={IEEE}, proceedings_a={MOBIHEALTH}, year={2014}, month={12}, keywords={epilepsy eeg seizure onset}, doi={10.4108/icst.mobihealth.2014.257277} }- Marwa Qaraqe
Muhammad Ismail
Erchin Serpedin
Abbasi Qammer Hussain
Year: 2014
Channel Selection and Feature Enhancement for Improved Epileptic Seizure Onset Detector
MOBIHEALTH
IEEE
DOI: 10.4108/icst.mobihealth.2014.257277
Abstract
This paper presents a novel architecture for a patient-specific epileptic seizure onset detector using scalp electroencephalography. The proposed architecture exploits the benefits of both channel selection and feature enhancement to improve the detector performance. The novel architecture results in higher energy difference between the pre-seizure and seizure states and hence performs better in terms of detection sensitivity and false alarm rate compared to benchmark detectors available in the literature.
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