Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data

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

Volumn , Issue , 2011, Pages 6789-6792

  Das, Samarjit ^a   Trutoiu, Laura ^a   Murai, Akihiko ^b   Alcindor, Dunbar ^c   Oh, Michael ^c   De La Torre, Fernando ^a   Hodgins, Jessica ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b DISNEY RESEARCH   (United States)

^c ALLEGHENY GENERAL HOSPITAL   (United States)

Author keywords

biomechanics and robotics; deep brain stimulation (DBS); motion capture (mocap); movement disorder; Parkinson's Disease (PD); Support Vector Machine (SVM)

Indexed keywords

DEEP BRAIN STIMULATION; MOTION CAPTURE; MOVEMENT DISORDERS; PARKINSON'S DISEASE; SUPPORT VECTOR;

BIOMECHANICS; NEUROSURGERY; SUPPORT VECTOR MACHINES;

NEURODEGENERATIVE DISEASES;

ACCELERATION; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; BODY EQUILIBRIUM; DATA MINING; DISEASE COURSE; EQUIPMENT DESIGN; FEMALE; FOURIER ANALYSIS; GAIT; HUMAN; MALE; MIDDLE AGED; MOTION; MOTOR PERFORMANCE; PARKINSON DISEASE; PATHOPHYSIOLOGY; SIGNAL PROCESSING; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TREMOR;

ACCELERATION; AGED; ARTIFICIAL INTELLIGENCE; DATA MINING; DISEASE PROGRESSION; EQUIPMENT DESIGN; FEMALE; FOURIER ANALYSIS; GAIT; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MOTION; MOTOR SKILLS; PARKINSON DISEASE; POSTURAL BALANCE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES; TREMOR;

EID: 84864610365     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091674     Document Type: Conference Paper

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