Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

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

Volumn 2016-October, Issue , 2016, Pages 655-658

  Eskofier, Bjoern M ^a   Lee, Sunghoon I ^b   Daneault, Jean Francois ^b   Golabchi, Fatemeh N ^b   Ferreira Carvalho, Gabriela ^b   Vergara Diaz, Gloria ^b   Sapienza, Stefano ^b   Costante, Gianluca ^b   Klucken, Jochen ^c   Kautz, Thomas ^a   Bonato, Paolo ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b and Red Sox Foundation and Massachusetts General Hospital Home Base Program   (United States)

^c UNIVERSITY HOSPITAL ERLANGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; FEMALE; HUMAN; HYPOKINESIA; LIMB; MACHINE LEARNING; MALE; MIDDLE AGED; PARKINSON DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGY; SEVERITY OF ILLNESS INDEX; SOFTWARE;

AGED; EXTREMITIES; FEMALE; HUMANS; HYPOKINESIA; MACHINE LEARNING; MALE; MIDDLE AGED; PARKINSON DISEASE; SEVERITY OF ILLNESS INDEX; SOFTWARE;

EID: 85009128807     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2016.7590787     Document Type: Conference Paper

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