A robust and sensitive metric for quantifying movement smoothness

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 8, 2012, Pages 2126-2136

  Balasubramanian, Sivakumar ^a   Melendez Calderon, Alejandro ^a   Burdet, Etienne ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Jerk; motor learning; neurological diseases; quantitative movement assessment; smoothness measure; spectral arc length metrics; stroke

Indexed keywords

ARC LENGTH; JERK; MOTOR LEARNING; NEUROLOGICAL DISEASE; QUANTITATIVE MOVEMENT ASSESSMENT; SMOOTHNESS MEASURE; STROKE;

BIOPHYSICS; MEDICAL APPLICATIONS;

CARBON DIOXIDE ARC WELDING;

ARTICLE; CONSISTENCY; COORDINATION; DISEASE SEVERITY; DISEASE SIMULATION; HEMIPARESIS; HUMAN; LOCOMOTION; MEASUREMENT; METRIC SYSTEM; MOVEMENT PERCEPTION; MOVEMENT SMOOTHNESS; MOVEMENT SPEED; QUANTITATIVE ANALYSIS; ROBUSTNESS; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; SPECTRAL ARC LENGTH METRIC; SPECTRAL SENSITIVITY; STANDARDIZATION; STROKE; VALIDITY; VELOCITY;

ALGORITHMS; COMPUTER SIMULATION; FOURIER ANALYSIS; HUMANS; MOVEMENT; MOVEMENT DISORDERS; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STROKE;

EID: 84864196731     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2179545     Document Type: Article

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