@inproceedings{678c9c984d3a478e8d46e92f9319fc84,
title = "Channel selection and feature enhancement for improved epileptic seizure onset detector",
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.",
keywords = "EEG, Epilepsy, Seizure onset",
author = "Marwa Qaraqe and Muhammad Ismail and Qammer Abbasi and Erchin Serpedin",
note = "Publisher Copyright: {\textcopyright} 2014 ICST.; 4th International Conference on Wireless Mobile Communication and Healthcare, MOBIHEALTH 2014 ; Conference date: 03-11-2014 Through 05-11-2014",
year = "2015",
month = jan,
day = "20",
doi = "10.1109/MOBIHEALTH.2014.7015960",
language = "English",
series = "Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - {"}Transforming Healthcare Through Innovations in Mobile and Wireless Technologies{"}, MOBIHEALTH 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "258--262",
booktitle = "Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - {"}Transforming Healthcare Through Innovations in Mobile and Wireless Technologies{"}, MOBIHEALTH 2014",
address = "United States",
}