Detecting freezing-of-gait during unscripted and unconstrained activity

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

Volumn , Issue , 2011, Pages 5649-5652

  Cole, Bryan T ^a   Roy, Serge H ^a   Nawab, S Hamid ^b  

^a BOSTON UNIVERSITY   (United States)

^b Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACC SENSORS; DYNAMIC NEURAL NETWORKS; ELECTROMYOGRAPHIC; EXPERIMENTAL DATA; INPUT FEATURES; PARKINSON'S DISEASE; TRIAXIAL ACCELEROMETER;

ACCELEROMETERS; FREEZING; NEURAL NETWORKS;

SENSORS;

ACTIMETRY; ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROMYOGRAPHY; GAIT; HUMAN; METHODOLOGY; NEUROLOGIC DISEASE; PARKINSON DISEASE; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; NEUROLOGIC GAIT DISORDER;

ACTIGRAPHY; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; GAIT; GAIT DISORDERS, NEUROLOGIC; HUMANS; MONITORING, AMBULATORY; NEURAL NETWORKS (COMPUTER); PARKINSON DISEASE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84862283269     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091367     Document Type: Conference Paper

References (7)

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