Analysis of raw microneurographic recordings based on wavelet de-noising technique and classification algorithm: Wavelet analysis in microneurography

IEEE Transactions on Biomedical Engineering

Volumn 50, Issue 1, 2003, Pages 41-50

  Diedrich, André ^a   Charoensuk, Warakom ^b   Brychta, Robert J ^b   Ertl, Andrew C ^a   Shiavi, Richard ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Nervous system; Noise; Pattern classification; Signal detection; Signal processing; Wavelet transforms

Indexed keywords

BANDPASS FILTERS; MUSCLE; NEUROPHYSIOLOGY;

MICRONEUROGRAPHICS RECORDINGS;

NEUROLOGY;

ACTION POTENTIAL; ADULT; ARTICLE; FEMALE; FILTER; HUMAN; HUMAN EXPERIMENT; MALE; MICRONEUROGRAPHY; NERVE POTENTIAL; NEUROGRAPHY; NORMAL HUMAN; SIMULATION; SUPINE POSITION; VALIDATION PROCESS; WAVEFORM;

ACTION POTENTIALS; ADULT; ALGORITHMS; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; FEMALE; HUMANS; LOWER BODY NEGATIVE PRESSURE; MALE; MICROELECTRODES; MODELS, NEUROLOGICAL; NERVE FIBERS; NEURONS; PATTERN RECOGNITION, AUTOMATED; PERONEAL NERVE; QUALITY CONTROL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYMPATHETIC NERVOUS SYSTEM;

EID: 0242600660     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2002.807323     Document Type: Article

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