Automated detection of missteps during community ambulation in patients with Parkinson's disease: A new approach for quantifying fall risk in the community setting

Journal of NeuroEngineering and Rehabilitation

Volumn 11, Issue 1, 2014, Pages

  Iluz, Tal ^a   Gazit, Eran ^a   Herman, Talia ^a   Sprecher, Eliot ^a   Brozgol, Marina ^a   Giladi, Nir ^a,b   Mirelman, Anat ^a   Hausdorff, Jeffrey M ^a,b,c  

^a TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Accelerometers; Body worn sensors; Fall risk; Gait; Monitoring; Parkinson's disease

Indexed keywords

ACCELEROMETER; ADULT; ALGORITHM; ARTICLE; AUTOMATION; CLINICAL ARTICLE; DAILY LIFE ACTIVITY; DISEASE COURSE; DISEASE DURATION; FALL RISK; FALL RISK ASSESSMENT; FALLING; GAIT; GYROSCOPE; HUMAN; MALE; MEDICAL DEVICE; MOBILIZATION; MOTOR PERFORMANCE; PARKINSON DISEASE; PATIENT MONITORING; SELF REPORT; SENSOR; WALKING; ACCELEROMETRY; AGED; EQUIPMENT; FEMALE; METHODOLOGY; MIDDLE AGED; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING; PHYSIOLOGY;

ACCELEROMETRY; ACCIDENTAL FALLS; AGED; ALGORITHMS; AUTOMATION; FEMALE; GAIT; HUMANS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; PARKINSON DISEASE; WALKING;

EID: 84898544415     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-11-48     Document Type: Article

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