Variance-based signal conditioning technique: Comparison to a wavelet-based technique to improve spike detection in multiunit intrafascicular recordings

Biomedical Signal Processing and Control

Volumn 4, Issue 2, 2009, Pages 118-126

  Kamavuako, Ernest Nlandu ^a   Yoshida, Ken ^b   Jensen, Winnie ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b Indiana University Purdue University Indianapolis   (United States)

Author keywords

Intrafascicular recordings; Signal conditioning; Spike detection; Variance; Wavelet

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; ELECTROPHYSIOLOGY; SIGNAL DETECTION; SIGNAL PROCESSING; STRAIN MEASUREMENT;

DETECTION ALGORITHM; INTRAFASCICULAR RECORDINGS; LOW SIGNAL-TO-NOISE RATIO; PERIPHERAL NERVE RECORDING; SPIKE DETECTION; VARIANCE; VARIANCE-BASED METHODS; WAVELET;

SIGNAL TO NOISE RATIO;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; NERVE CONDUCTION; NERVE FIBER; NERVE POTENTIAL; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SIMULATION; STANDARDIZATION; STATISTICAL ANALYSIS;

EID: 63449087283     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2009.01.006     Document Type: Article

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