A novel method for automated EMG decomposition and MUAP classification

Artificial Intelligence in Medicine

Volumn 37, Issue 1, 2006, Pages 55-64

  Katsis, C D ^a,b   Goletsis, Y ^b   Likas, A ^b,c   Fotiadis, D I ^b,c   Sarmas, I ^a  

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

^c INSTITUTE OF COMPUTER SCIENCE   (Greece)

Author keywords

Electromyogram decomposition; Motor unit action potential detection and classification; Quantitative electromyography; Support vector machine

Indexed keywords

DATA ACQUISITION; NEUROLOGY; SIGNAL DETECTION; SIGNAL PROCESSING;

ELECTROMYOGRAM DECOMPOSITION; MOTOR UNIT ACTION POTENTIAL DETECTION AND CLASSIFICATION; QUANTITATIVE ELECTROMYOGRAPHY; SUPPORT VECTOR MACHINE;

ELECTROMYOGRAPHY;

ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; ELECTROMYOGRAM; ELECTROMYOGRAPHY; MYOPATHY; NEUROPATHY; PRIORITY JOURNAL;

ACTION POTENTIALS; ALGORITHMS; CLUSTER ANALYSIS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; HUMANS; MODELS, STATISTICAL; MOTOR NEURON DISEASE; MOTOR NEURONS; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33646100549     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2005.09.002     Document Type: Article

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