Computational intelligent gait-phase detection system to identify pathological gait

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 5, 2010, Pages 1173-1179

  Senanayake, Chathuri M ^a   Senanayake, S M N Arosha ^a  

^a MONASH UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

Fuzzy inference system (FIS); gait phase detection; hardware and software codesign; virtual instrumentation

Indexed keywords

ACCURATE TIMING; DATABASE MANAGEMENT; FUZZY INFERENCE SYSTEMS; FUZZY MEMBERSHIP VALUES; GAIT PARAMETERS; GAIT PHASIS; GAIT-PHASE; HARDWARE AND SOFTWARE CODESIGN; INERTIAL SENSOR; PRESSURE PATTERNS; REAL TIME ACQUISITION; REAL TIME DATA ACQUISITION; RESULTS ANALYSIS; SENSOR DATA; SOFTWARE APPLICATIONS; VIRTUAL INSTRUMENTATION; WALKING PATTERN;

DATA PROCESSING; FUZZY SYSTEMS; INSTRUMENTS; QUALITY CONTROL; SENSORS; USER INTERFACES;

FUZZY INFERENCE;

ADULT; AMBULATORY MONITORING; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER PROGRAM; FEMALE; FOOT; FUZZY LOGIC; GAIT; HUMAN; MALE; METHODOLOGY; NEUROLOGIC DISEASE; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING;

ADULT; FEMALE; FOOT; FUZZY LOGIC; GAIT; GAIT DISORDERS, NEUROLOGIC; HUMANS; MALE; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 77956362174     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2058813     Document Type: Article

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