Eight-week remote monitoring using a freely worn device reveals unstable gait patterns in older fallers

IEEE Transactions on Biomedical Engineering

Volumn 62, Issue 11, 2015, Pages 2588-2594

  Brodie, Matthew A ^a   Lord, Stephen R ^a   Coppens, Milou J ^b   Annegarn, Janneke ^c   Delbaere, Kim ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF GRONINGEN   (Netherlands)

^c PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Accelerometers; activity; cadence; daily; distribution; exposure; falls; gait; monitoring; older; patterns; people; remote; sensor; variability; walking; wearable

Indexed keywords

ACCELEROMETERS; ALGORITHMS; GAIT ANALYSIS; MONITORING; NORMAL DISTRIBUTION; SENSORS; THERMODYNAMIC PROPERTIES; WALKING AIDS; WAVELET ANALYSIS; WEARABLE TECHNOLOGY;

CADENCE; DAILY; DISTRIBUTION; EXPOSURE; FALLS; GAIT; OLDER; PATTERNS; PEOPLE; REMOTE; VARIABILITY; WALKING; WEARABLE;

WEARABLE SENSORS;

ACCELEROMETER; AGED; ALGORITHM; ARTICLE; BIOMEDICAL ENGINEERING; BIOSENSOR; CLINICAL ARTICLE; COMORBIDITY; DECISION TREE; DECOMPOSITION; DEVELOPMENT; FALLING; FEMALE; GAIT; GAIT DISORDER; HISTOGRAM; HUMAN; INDEPENDENT LIVING; MALE; MORBIDITY; PATIENT MONITORING; REMOTE SENSING; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; VERY ELDERLY; WALKING; AMBULATORY MONITORING; DEVICES; PHYSIOLOGY; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ACCIDENTAL FALLS; AGED; AGED, 80 AND OVER; FEMALE; GAIT; HUMANS; MALE; MONITORING, AMBULATORY; WALKING;

EID: 84946760948     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2433935     Document Type: Article

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