On-shoe wearable sensors for gait and turning assessment of patients with parkinson's disease

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 1, 2013, Pages 155-158

  Mariani, Benoit ^a   Jiménez, Mayté Castro ^b   Vingerhoets, François J G ^c   Aminian, Kamiar ^a  

^a EPFL   (Switzerland)

^b University Hospital Hermanos Ameijieras   (Cuba)

^c LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

Author keywords

Gait analysis; inertial sensors; Parkinson; spatio temporal parameters; timed up and go

Indexed keywords

COMPLEX MOTION; CONTROL SUBJECT; EARLY DIAGNOSIS; INERTIAL SENSOR; INNOVATIVE TECHNOLOGY; OPTICAL MOTION CAPTURE; PARKINSON; PARKINSON'S DISEASE; PATH LENGTH; PROCESSING ALGORITHMS; SPATIO-TEMPORAL; STRIDE LENGTH; TIMED UP AND GO; WEARABLE SENSORS;

FUNCTIONAL ASSESSMENT; GAIT ANALYSIS; NEURODEGENERATIVE DISEASES;

SENSORS;

ACCELEROMETER; ADULT; AGED; AGING; ALGORITHM; ARTICLE; BIOSENSOR; BIOTECHNOLOGY; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EARLY DIAGNOSIS; GAIT; HOME; HUMAN; LABORATORY; LOCOMOTION; MOTOR DYSFUNCTION; NEUROPSYCHOLOGICAL TEST; ON SHOE WEARABLE SENSOR; OUTCOME ASSESSMENT; PARKINSON DISEASE; SENSITIVITY AND SPECIFICITY; SYMPTOM; TIMED UP AND GO TEST; VELOCITY; WALKING; WALKING SPEED;

AGED; ALGORITHMS; GAIT; HUMANS; MIDDLE AGED; MONITORING, AMBULATORY; PARKINSON DISEASE; REPRODUCIBILITY OF RESULTS; SHOES; SIGNAL PROCESSING, COMPUTER-ASSISTED; WALKING;

EID: 84871804768     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2227317     Document Type: Article

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