Resolving signal complexities for ambulatory monitoring of motor function in Parkinson's disease

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

Volumn , Issue , 2011, Pages 4832-4835

  Roy, Serge H ^a   Cole, Bryan T ^a   Gilmore, L Donald ^a   De Luca, Carlo J ^a   Nawab, S Hamid ^b  

^a BOSTON UNIVERSITY   (United States)

^b Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITIES OF DAILY LIFE; AMBULATORY MONITORING; AUTOMATIC TRACKING; DATA SETS; DYNAMIC NEURAL NETWORKS; ELECTROMYOGRAPHIC; GLOBAL ERRORS; INTEGRATED PROCESSING AND UNDERSTANDING OF SIGNALS; MOTOR FUNCTION; MOVEMENT DISORDERS; PARKINSON'S DISEASE; RULE BASED; SIGNAL COMPLEXITY; TIME VARYING; TRIAXIAL ACCELEROMETER; WEARABLE SENSORS;

ACCELEROMETERS; LEARNING ALGORITHMS; NEURODEGENERATIVE DISEASES;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; HUMAN; METHODOLOGY; PARKINSON DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING;

ALGORITHMS; HUMANS; MONITORING, PHYSIOLOGIC; PARKINSON DISEASE;

EID: 84055193555     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091197     Document Type: Conference Paper

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