Document Detail


1/f neural noise reduction and spike feature extraction using a subset of informative samples.
MedLine Citation:
PMID:  21086046     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This article describes a study on neural noise and neural signal feature extraction, targeting real-time spike sorting with miniaturized microchip implementation. Neuronal signature, noise shaping, and adaptive bandpass filtering are reported as the techniques to enhance the signal-to-noise ratio (SNR). A subset of informative samples of the waveforms is extracted as features for classification. Quantitative and comparative experiments with both synthesized and animal data are included to evaluate different feature extraction approaches. In addition, a preliminary hardware implementation has been realized using an integrated circuit.
Authors:
Zhi Yang; Linh Hoang; Qi Zhao; Edward Keefer; Wentai Liu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2010-11-18
Journal Detail:
Title:  Annals of biomedical engineering     Volume:  39     ISSN:  1573-9686     ISO Abbreviation:  Ann Biomed Eng     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-04-01     Completed Date:  2011-08-09     Revised Date:  2013-05-30    
Medline Journal Info:
Nlm Unique ID:  0361512     Medline TA:  Ann Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1264-77     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering, University of California at Santa Cruz, CA, USA. eleyangz@nus.edu.sg
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MeSH Terms
Descriptor/Qualifier:
Action Potentials*
Algorithms*
Animals
Biomedical Engineering
Cats
Cerebral Cortex / physiology
Electronics, Medical / instrumentation
Haplorhini
Hippocampus / physiology
Models, Neurological
Neurons / physiology*
Principal Component Analysis
Rats
Signal Processing, Computer-Assisted

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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