Unsupervised Bayesian decomposition of multiunit EMG recordings using Tabu search

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 3, 2010, Pages 561-571

  Ge, Di ^a   Carpentier, Eric Le ^a   Farina, Dario ^b  

^a ECOLE CENTRALE DE NANTES   (France)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Bayesian analysis; Electromyography (EMG) signal decomposition; Tabu search

Indexed keywords

AUTOMATIC IDENTIFICATION; BAYESIAN; BAYESIAN ANALYSIS; BAYESIAN FRAMEWORKS; BAYESIAN STATISTICAL MODEL; CONTRACTION FORCE; DISCHARGE PATTERNS; EMG SIGNAL; HARD PROBLEMS; MAP ESTIMATION; MAXIMUM A POSTERIORI; MOTOR UNIT; MUSCLE FIBER; NEURAL RECORDINGS; NONDETERMINISTIC POLYNOMIAL; PRIOR INFORMATION; REFRACTORY PERIOD; SEMI-AUTOMATIC PROCEDURES; SIGNAL DECOMPOSITION; SINGLE-CHANNEL;

AUTOMATION; BAYESIAN NETWORKS; DECOMPOSITION; ELECTROMYOGRAPHY; ELECTRONIC DATA INTERCHANGE; MAXIMUM LIKELIHOOD ESTIMATION; MUSCLE; SIGNAL DISTORTION; SIGNAL PROCESSING;

TABU SEARCH;

ACCURACY; ADULT; ARTICLE; BAYES THEOREM; CLASSIFICATION; CLINICAL ARTICLE; CONTROLLED STUDY; DECOMPOSITION; ELECTROMYOGRAM; FORCE; HUMAN; INFORMATION; MALE; MOTOR UNIT; MUSCLE CELL; MUSCLE CONTRACTION; NERVE CELL STIMULATION; NERVE CONDUCTION; NORMAL HUMAN; OPERATOR; PATCH CLAMP; PHYSIOLOGY; RECORDING; REFRACTORY PERIOD; SIGNAL TRANSDUCTION; SPIKE; STATISTICAL MODEL;

ACTION POTENTIALS; ADULT; ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HAND; HUMANS; MALE; MUSCLE CONTRACTION; MUSCLE, SKELETAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77649153805     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2022277     Document Type: Article

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