DocumentCode :
2355925
Title :
Real-time variance based template matching spike sorting system
Author :
Haas, Alfred M. ; Cohen, Marc H. ; Abshire, Pamela A.
Author_Institution :
Maryland Univ., College Park
fYear :
2007
fDate :
8-9 Nov. 2007
Firstpage :
104
Lastpage :
107
Abstract :
We present a real-time variance based template matching system for spike sorting. The system employs an ultra-low-power CMOS variance estimator to detect and discriminate between distinct spike classes in real-time. Simulations demonstrate reliable single-unit detection at near 0 dB SNR, and robust classification of action potentials from noisy spike trains; measured results from the variance estimation circuit are in good agreement with simulations. This design thus represents a significant improvement in power efficiency over existing online sorting architectures, which is necessary ill order to achieve fully implantable neural prosthetics.
Keywords :
CMOS integrated circuits; bioelectric potentials; medical signal detection; medical signal processing; neurophysiology; prosthetics; signal classification; action potentials; fully implantable neural prosthetics; noisy spike trains; real-time variance-based template matching; robust classification; single-unit detection; spike sorting; ultra-low-power CMOS variance estimator; Conferences; Real time systems; Sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Life Science Systems and Applications Workshop, 2007. LISA 2007. IEEE/NIH
Conference_Location :
Bethesda, MD
Print_ISBN :
978-1-4244-1813-8
Electronic_ISBN :
978-1-4244-1813-8
Type :
conf
DOI :
10.1109/LSSA.2007.4400895
Filename :
4400895
Link To Document :
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