A neuron signature based spike feature extraction algorithm for on-chip implementation

Zhi Yang, Tung Chien Chen, Wentai Liu

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

13 Scopus citations

Abstract

A spike derivative based feature extraction algorithm is reported in this paper. The theoretical framework includes neuronal geometry signatures and noise shaping. Through evaluating neuronal geometry signatures with compartment model, we obtain improved differentiation among similar spikes by emphasizing high frequency signal spectrum. Through studying the noise properties, we find the total noise reduces by taking the derivative of spikes, which is the simplest frequency shaping filter boosting the high frequency signal spectrum. In addition, a preliminary hardware implementation to extract spike features has been realized using an integrated microchip interfaced with a personal computer.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages1716-1719
Number of pages4
StatePublished - Dec 1 2008
Externally publishedYes
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

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