Multivariate AR modeling of electromyography for the classification of upper arm movements

Clinical Neurophysiology

Volumn 115, Issue 6, 2004, Pages 1276-1287

  Hu, Xiao ^a   Nenov, Valeriy ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Electromyography classification; Multivariate autoregressive model; Principal component analysis

Indexed keywords

ACCURACY; ANALYTIC METHOD; ARM MOVEMENT; ARTICLE; BICEPS BRACHII MUSCLE; BODY POSTURE; BRACHIORADIALIS; CONTROLLED STUDY; DELTOID MUSCLE; ELBOW FLEXION; ELECTRODE; ELECTROMYOGRAPHY; EXTRACTION; FOREARM; HUMAN; HUMAN EXPERIMENT; MATHEMATICAL MODEL; MULTIVARIATE ANALYSIS; MULTIVARIATE AUTOREGRESSIVE MODEL; MUSCLE; NORMAL HUMAN; PARAMETER; PERFORMANCE; PRIORITY JOURNAL; SCALAR AUTOREGRESSIVE MODEL; SHOULDER; SIGNAL TRANSDUCTION; STATISTICAL SIGNIFICANCE; TRICEPS BRACHII MUSCLE; VALIDATION PROCESS;

ARM; ELECTROMYOGRAPHY; HUMANS; MODELS, NEUROLOGICAL; MOVEMENT; MUSCLE, SKELETAL;

EID: 2342454467     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2003.12.030     Document Type: Article

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