A criterion for signal-based selection of wavelets for denoising intrafascicular nerve recordings

Journal of Neuroscience Methods

Volumn 186, Issue 2, 2010, Pages 274-280

  Kamavuako, Ernest Nlandu ^a   Jensen, Winnie ^a   Yoshida, Ken ^a,b   Kurstjens, Mathijs ^a   Farina, Dario ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b Indiana University Purdue University Indianapolis   (United States)

Author keywords

Action potential; Denoising; Intrafascicular recordings; Parameterization; Signal conditioning; Spike detection; Wavelet design

Indexed keywords

ANIMAL CELL; ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; MATHEMATICAL ANALYSIS; MUSCLE LENGTH; MUSCLE STRETCHING; NERVE POTENTIAL; NOISE REDUCTION; NONHUMAN; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RABBIT; SCIATIC NERVE; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ARTIFACTS; COMPUTER SIMULATION; MUSCLE SPINDLES; MUSCLE, SKELETAL; PERIPHERAL NERVES; RABBITS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 74149090910     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.11.022     Document Type: Article

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