Determination of muscle fatigue using dynamically embedded signals

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Volumn 222, Issue 1, 2008, Pages 41-50

  Slack, P S ^a   Ma, X H ^a  

^a ASTON UNIVERSITY   (United Kingdom)

Author keywords

Dynamic embedding; Electromyographic signal processing; Microsurgery; Muscle fatigue; Shannon entropy

Indexed keywords

DATA ACQUISITION; FATIGUE OF MATERIALS; LINEAR REGRESSION; MUSCLE; POWER SPECTRAL DENSITY; SIGNAL PROCESSING; SURGERY; ELECTROMYOGRAPHY; END EFFECTORS; MATRIX ALGEBRA; SPECTRAL DENSITY;

MICROSURGERY; MUSCLE FATIGUE; SHANNON ENTROPY;

ELECTROMYOGRAPHY; MUSCLE;

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROMYOGRAPHY; EVALUATION; FEMALE; HUMAN; MALE; METHODOLOGY; MUSCLE FATIGUE; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SKELETAL MUSCLE;

ADULT; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MUSCLE FATIGUE; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

DYNAMIC EMBEDDING; ELECTROMYOGRAPHIC SIGNAL; MICROSURGERY; MUSCLE FATIGUES; SHANNON ENTROPY;

EID: 42049105179     PISSN: 09544119     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544119JEIM300     Document Type: Article

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