4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

Research Article

Channel Selection and Feature Enhancement for Improved Epileptic Seizure Onset Detector

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  • @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
Marwa Qaraqe1, Muhammad Ismail2, Erchin Serpedin1, Abbasi Qammer Hussain1,*
  • 1: Texas A&M University
  • 2: Texas A&M University at Qatar
*Contact email: qammer.abbasi@qatar.tamu.edu

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.

Keywords
epilepsy eeg seizure onset
Published
2014-12-05
Publisher
IEEE
http://dx.doi.org/10.4108/icst.mobihealth.2014.257277
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