TY - GEN
T1 - Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease
AU - Barth, Jens
AU - Sünkel, Michael
AU - Bergner, Katharina
AU - Schickhuber, Gerald
AU - Winkler, Jurgen
AU - Klucken, Jochen
AU - Eskofier, Bjorn
PY - 2012
Y1 - 2012
N2 - Objective and rater independent analysis of movement impairment is one of the most challenging tasks in medical engineering. Especially assessment of motor symptoms defines the clinical diagnosis in Parkinson's disease (PD). A sensor-based system to measure the movement of the upper and lower extremities would therefore complement the clinical evaluation of PD.
AB - Objective and rater independent analysis of movement impairment is one of the most challenging tasks in medical engineering. Especially assessment of motor symptoms defines the clinical diagnosis in Parkinson's disease (PD). A sensor-based system to measure the movement of the upper and lower extremities would therefore complement the clinical evaluation of PD.
UR - http://www.scopus.com/inward/record.url?scp=84870787794&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6347146
DO - 10.1109/EMBC.2012.6347146
M3 - Conference contribution
C2 - 23367081
AN - SCOPUS:84870787794
SN - 9781424441198
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 5122
EP - 5125
BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Y2 - 28 August 2012 through 1 September 2012
ER -