A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications.

Biostatistics (Oxford, England)

Volumn 4, Issue 1, 2003, Pages 143-164

  Johnson, Timothy D ^a   Elashoff, Robert M ^a   Harkema, Susan J ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; ELECTROMYOGRAPHY; HUMAN; INNERVATION; METHODOLOGY; MONTE CARLO METHOD; NEUROLOGIC DISEASE; PATHOPHYSIOLOGY; PROBABILITY; SKELETAL MUSCLE; SPINAL CORD INJURY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; ELECTROMYOGRAPHY; GAIT DISORDERS, NEUROLOGIC; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; MUSCLE, SKELETAL; SPINAL CORD INJURIES;

EID: 0141543796     PISSN: 14654644     EISSN: None     Source Type: Journal    
DOI: 10.1093/biostatistics/4.1.143     Document Type: Article

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