A novel approach to reducing number of sensing units for wearable gait analysis systems

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 1, 2013, Pages 72-77

  Salarian, Arash ^a   Burkhard, Pierre R ^b   Vingerhoets, François J G ^c   Jolles, Brigitte M ^c   Aminian, Kamiar ^a  

^a EPFL   (Switzerland)

^b GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^c LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

Author keywords

Gait analysis; inertial systems; objective assessment; wearable sensors

Indexed keywords

ANALYSIS METHOD; ANALYSIS SYSTEM; BIOMECHANICAL GAIT; CONTROL SUBJECT; COXARTHROSIS; DATA SETS; GAIT MODEL; HEALTHY SUBJECTS; HIP REPLACEMENTS; INERTIAL SYSTEMS; LOWER LIMB; MOTION CAPTURE; MOTION CAPTURE SYSTEM; OBJECTIVE ASSESSMENT; PARKINSON'S DISEASE; SENSING UNIT; STRIDE LENGTH; WEARABLE SENSORS;

BIOLOGICAL ORGANS; BIOMECHANICS; ESTIMATION; GYROSCOPES; HIP PROSTHESES; SENSORS;

GAIT ANALYSIS;

ADULT; ALGORITHM; ARTICLE; AUTONOMOUS SENSING UNIT RECORDER; BIOMECHANICS; CALIBRATION; CLINICAL ARTICLE; CONTROLLED STUDY; DEVICES; FEMALE; GAIT; GYROSCOPE; HIP ARTHROPLASTY; HIP OSTEOARTHRITIS; HUMAN; KNEE FUNCTION; LEG; LIMB MOVEMENT; MALE; PARKINSON DISEASE; PREDICTION; SENSOR; THIGH;

AGED; ARTHROPLASTY, REPLACEMENT, HIP; CASE-CONTROL STUDIES; CLOTHING; FEMALE; GAIT; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MONITORING, AMBULATORY; PARKINSON DISEASE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84871802834     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2223465     Document Type: Article

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