Optimal Discrimination and Classification of Neuronal Action Potential Waveforms from Multiunit, Multichannel Recordings Using Software-Based Linear Filters

IEEE Transactions on Biomedical Engineering

Volumn 41, Issue 4, 1994, Pages 358-372

  Gozani, Shai N ^a   Miller, John P ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; OPTIMIZATION; SIGNAL FILTERING AND PREDICTION; WAVEFORM ANALYSIS;

LINEAR FILTERS; NEURONAL ACTION POTENTIALS;

BIOELECTRIC POTENTIALS;

ACTION POTENTIAL; ALGORITHM; ANIMAL TISSUE; ARTICLE; ELECTROPHYSIOLOGY; FEMALE; INTRACELLULAR RECORDING; NERVE CORD; NONHUMAN; ORTHOPTERA; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; ANIMAL; ARTIFACTS; CLINICAL PROTOCOLS; DISCRIMINANT ANALYSIS; ELECTROPHYSIOLOGY; EVALUATION STUDIES; GRYLLIDAE; NEURONS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE VALIDATION;

EID: 0028414168     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.284964     Document Type: Article

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