Detecting stumbles with a single accelerometer

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 6681-6686

  Hajj Chehade, Nabil ^a   Ozisik, Pinar ^a   Gomez, James ^a   Ramos, Fabio ^b   Pottie, Greg ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS;

ANOMALY DETECTION; DETECTION RATES; DETECTION SYSTEM; ELDERLY POPULATIONS; FALSE ALARM RATE; LARGE DATASETS; MEDICAL FIELDS; TRIAXIAL ACCELEROMETER;

WALKING AIDS;

ACCELEROMETRY; AGED; ALGORITHM; AMBULATORY MONITORING; ARTICLE; BIOMECHANICS; EQUIPMENT; FALLING; HUMAN; METHODOLOGY; MUSCLE; PATHOPHYSIOLOGY; RISK; STATISTICAL MODEL; WALKING;

ACCELEROMETRY; ACCIDENTAL FALLS; AGED; ALGORITHMS; BIOMECHANICS; HUMANS; MODELS, STATISTICAL; MONITORING, AMBULATORY; MUSCLES; RISK; WALKING; BIOMECHANICAL PHENOMENA;

EID: 84884187364     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347527     Document Type: Conference Paper

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