Using motor unit potential characterizations to estimate neuromuscular disorder level of involvement

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4138-4141

  Pino, Lou J ^a   Stashuk, Daniel W ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING;

CHARACTERIZATION METHODS; CONDITIONAL PROBABILITIES; DISEASE PROCESS; ELECTROMYOGRAPHIC; EMG SIGNAL; MOTOR UNIT; NEUROMUSCULAR DISORDERS; PATTERN DISCOVERY;

MUSCLE;

ALGORITHM; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMAN; METHODOLOGY; MUSCLE; NERVOUS SYSTEM FUNCTION; NEUROMUSCULAR DISEASE; NEUROMUSCULAR SYNAPSE; PATHOLOGY; PATHOPHYSIOLOGY; PROBABILITY; REPRODUCIBILITY; SIGNAL PROCESSING; SKELETAL MUSCLE; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; MUSCLE, SKELETAL; MUSCLES; NERVOUS SYSTEM PHYSIOLOGICAL PHENOMENA; NEUROMUSCULAR DISEASES; NEUROMUSCULAR JUNCTION; PROBABILITY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 61849140137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650120     Document Type: Conference Paper

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