Neural spikes define the human brain function. An accurate extraction of spike features leads to better understanding of brain functionality. The main challenge of feature extraction is to mitigate the effect of strong background noises. To address this problem, we introduce a new feature representation for neural spikes based on Cepstrum of multichannel recordings. Simulation results indicated that the proposed method is more robust than the existing Haar wavelet method.
History
Pagination
97-100
Location
Adelaide, South Australia
Start date
2014-06-09
End date
2014-06-13
ISBN-13
9781479952274
Language
eng
Publication classification
E Conference publication, E1 Full written paper - refereed
Copyright notice
2014, Institute of Electrical and Electronics Engineers
Editor/Contributor(s)
[Unknown]
Title of proceedings
SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems Engineering
Event
System of Systems Engineering. Conference (2014 : Adelaide, South Australia)