Computational intelligence in gait research: A perspective on current applications and future challenges

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 5, 2009, Pages 687-702

  Lai, Daniel T H ^a   Begg, Rezaul K ^a   Palaniswami, Marimuthu ^b  

^a VICTORIA UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Artificial gait; Computational intelligence (CI); Elderly gait; Gait analysis; Gait disorders; Gait event detection; Pathology detection; Prosthetic control; Sensor technology

Indexed keywords

ARTIFICIAL GAIT; COMPUTATIONAL INTELLIGENCE (CI); ELDERLY GAIT; GAIT DISORDERS; GAIT EVENT DETECTION; SENSOR TECHNOLOGY;

BIOMECHANICS; BIOMEDICAL ENGINEERING; COMPUTATIONAL EFFICIENCY; EDUCATION; EVOLUTIONARY ALGORITHMS; GAIT ANALYSIS; INTELLIGENT SYSTEMS; PATHOLOGY; PROSTHETICS; SENSORS; SIGNAL DETECTION; SIGNAL PROCESSING; TECHNOLOGY;

LEARNING ALGORITHMS;

ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BIOMEDICAL ENGINEERING; GAIT; HUMAN; MEDICAL RESEARCH; METHODOLOGY; NEUROLOGIC DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGY; REVIEW; STATISTICAL MODEL;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; BIOMEDICAL RESEARCH; GAIT; GAIT DISORDERS, NEUROLOGIC; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL;

EID: 70349422284     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2022913     Document Type: Article

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