Gait event detection for FES using accelerometers and supervised machine learning

IEEE Transactions on Rehabilitation Engineering

Volumn 8, Issue 3, 2000, Pages 312-319

  Williamson, Richard ^a   Andrews, Brian J ^b  

^a Second Sight LLC   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Accelerometers; Electrical stimulation; Gait events; Machine learning; Sensor

Indexed keywords

ACCELEROMETERS; ADAPTIVE ALGORITHMS; GAIT ANALYSIS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SUBJECTIVE TESTING;

ADAPTIVE LOGIC NETWORKS (ALN); GAIT PHASE DETECTORS; ROUGH SETS (RS); TWO RULE INDUCTION ALGORITHMS;

FUNCTIONAL ELECTRIC STIMULATION;

ACCELEROMETER; ALGORITHM; ARTICLE; ELECTROSTIMULATION; GAIT; LEARNING; PRIORITY JOURNAL; WALKING;

ACCELERATION; ADULT; ALGORITHMS; BIAS (EPIDEMIOLOGY); COMPARATIVE STUDY; DECISION TREES; ELECTRIC STIMULATION THERAPY; GAIT; HUMAN; MINICOMPUTERS; NEURAL NETWORKS (COMPUTER); PARAPLEGIA; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE VALIDATION; SUPPORT, NON-U.S. GOV'T; WALKING; WEIGHT-BEARING;

EID: 0034283303     PISSN: 10636528     EISSN: None     Source Type: Journal    
DOI: 10.1109/86.867873     Document Type: Article

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