IEEE - Institute of Electrical and Electronics Engineers, Inc. - Optimal Feature Selection for Seizure Detection: A Subspace Based Approach

Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Author(s): T.E. Ozkurt ; M. Sun ; T. Akgul ; R.J. Sclabassi
Sponsor(s): IEEE EMB
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2006
Conference Location: New York, NY, USA
Conference Date: 30 August 2006
Page(s): 2,134 - 2,137
ISBN (CD): 1-4244-003303
ISBN (Paper): 1-4244-0032-5
ISSN (Paper): 1557-170X
DOI: 10.1109/IEMBS.2006.260793
Regular:

An epileptic seizure detector's performance definitely depends on features extraction and selection. In this study, we present the short-time average magnitude difference function (sAMDF) as a... View More

Advertisement