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Neural spike representation using Cepstrum

conference contribution
posted on 2014-01-01, 00:00 authored by Sherif Haggag, Shady MohamedShady Mohamed, Asim BhattiAsim Bhatti, Hussein Haggag, Saeid NahavandiSaeid Nahavandi
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

Event

System of Systems Engineering. Conference (2014 : Adelaide, South Australia)

Pagination

97 - 100

Publisher

IEEE

Location

Adelaide, South Australia

Place of publication

Piscataway, N.J.

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