Hierarchal online temporal and spatial EEG seizure detection

Amirsalar Mansouri, Sanjay Singh, Khalid Sayood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Seizures affect a significant portion of the world's population and while a small proportion of the seizures are easy to detect, the vast majority are subtle enough to require the expertise of a neurologist. In this paper, we present a multifaceted computational approach to detecting the presence and locality of a seizure using Electroencephalography (EEG) signals. We test the proposed approach using a variety of signals and demonstrate the efficacy of the approach.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Electro Information Technology, EIT 2017
PublisherIEEE Computer Society
Pages416-421
Number of pages6
ISBN (Electronic)9781509047673
DOIs
StatePublished - Sep 27 2017
Event2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States
Duration: May 14 2017May 17 2017

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Other

Other2017 IEEE International Conference on Electro Information Technology, EIT 2017
CountryUnited States
CityLincoln
Period5/14/175/17/17

Fingerprint

Electroencephalography

Keywords

  • EEG
  • PSD
  • epilepsy
  • networks
  • nonspecific-patient detection
  • on-line detection
  • seizure

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Mansouri, A., Singh, S., & Sayood, K. (2017). Hierarchal online temporal and spatial EEG seizure detection. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017 (pp. 416-421). [8053397] (IEEE International Conference on Electro Information Technology). IEEE Computer Society. https://doi.org/10.1109/EIT.2017.8053397

Hierarchal online temporal and spatial EEG seizure detection. / Mansouri, Amirsalar; Singh, Sanjay; Sayood, Khalid.

2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. p. 416-421 8053397 (IEEE International Conference on Electro Information Technology).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mansouri, A, Singh, S & Sayood, K 2017, Hierarchal online temporal and spatial EEG seizure detection. in 2017 IEEE International Conference on Electro Information Technology, EIT 2017., 8053397, IEEE International Conference on Electro Information Technology, IEEE Computer Society, pp. 416-421, 2017 IEEE International Conference on Electro Information Technology, EIT 2017, Lincoln, United States, 5/14/17. https://doi.org/10.1109/EIT.2017.8053397
Mansouri A, Singh S, Sayood K. Hierarchal online temporal and spatial EEG seizure detection. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society. 2017. p. 416-421. 8053397. (IEEE International Conference on Electro Information Technology). https://doi.org/10.1109/EIT.2017.8053397
Mansouri, Amirsalar ; Singh, Sanjay ; Sayood, Khalid. / Hierarchal online temporal and spatial EEG seizure detection. 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. pp. 416-421 (IEEE International Conference on Electro Information Technology).
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