Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease

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

Volumn , Issue , 2012, Pages 5122-5125

  Barth, Jens ^a   Sünkel, Michael ^a   Bergner, Katharina ^b   Schickhuber, Gerald ^c   Winkler, Jurgen ^b   Klucken, Jochen ^b   Eskofier, Bjorn ^d  

^a ASTRUM IT GmbH   (Germany)

^b UNIVERSITY HOSPITAL ERLANGEN   (Germany)

^c UNIVERSITY OF APPLIED SCIENCES REGENSBURG   (Germany)

^d UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC RECOGNITION; CLINICAL DIAGNOSIS; CLINICAL EVALUATION; COMBINED ANALYSIS; INDEPENDENT ANALYSIS; LOWER EXTREMITY; MEDICAL ENGINEERING; MOTOR FUNCTION; PARKINSON'S DISEASE; SENSOR BASED SYSTEMS; SENSOR DATA;

BIOMEDICAL ENGINEERING; DIAGNOSIS; SENSORS;

NEURODEGENERATIVE DISEASES;

ACTIMETRY; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; EQUIPMENT; EQUIPMENT DESIGN; EQUIPMENT FAILURE; FEMALE; GAIT; HAND; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; PARKINSON DISEASE; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ACTIGRAPHY; DIAGNOSIS, COMPUTER-ASSISTED; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; GAIT; HAND; HUMANS; MALE; MIDDLE AGED; PARKINSON DISEASE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84870787794     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347146     Document Type: Conference Paper

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