Qaraqe, M., Ismail, M., Abbasi, Q. and Serpedin, E. (2015) Channel Selection and Feature Enhancement for Improved Epileptic Seizure Onset Detector. In: 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), Athens, Greece, 3-5 Nov 2014, ISBN 9781631900143 (doi: 10.4108/icst.mobihealth.2014.257277)
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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. In detail, the proposed architecture achieves a 7% increase in sensitivity and a reduction of 9 false alarms per hour compared to the benchmark detector.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Abbasi, Professor Qammer |
| Authors: | Qaraqe, M., Ismail, M., Abbasi, Q., and Serpedin, E. |
| College/School: | College of Science and Engineering > School of Engineering |
| ISBN: | 9781631900143 |
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