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 language | English (US) |
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Title of host publication | 2017 IEEE International Conference on Electro Information Technology, EIT 2017 |
Publisher | IEEE Computer Society |
Pages | 416-421 |
Number of pages | 6 |
ISBN (Electronic) | 9781509047673 |
DOIs | |
State | Published - Sep 27 2017 |
Event | 2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States Duration: May 14 2017 → May 17 2017 |
Other
Other | 2017 IEEE International Conference on Electro Information Technology, EIT 2017 |
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Country | United States |
City | Lincoln |
Period | 5/14/17 → 5/17/17 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Information Systems
- Control and Systems Engineering
- Electrical and Electronic Engineering