TY - GEN
T1 - Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests
AU - Kugler, Patrick
AU - Jaremenko, Christian
AU - Schlachetzki, Johannes
AU - Winkler, Juergen
AU - Klucken, Jochen
AU - Eskofier, Bjoern
PY - 2013
Y1 - 2013
N2 - Diagnosis and severity staging of Parkinsons disease (PD) relies mainly on subjective clinical examination. To better monitor disease progression and therapy success in PD patients, new objective and rater independent parameters are required. Surface electromyography (EMG) during dynamic movements is one possible modality. However, EMG signals are often difficult to understand and interpret clinically. In this study pattern recognition was applied to find suitable parameters to differentiate PD patients from healthy controls.
AB - Diagnosis and severity staging of Parkinsons disease (PD) relies mainly on subjective clinical examination. To better monitor disease progression and therapy success in PD patients, new objective and rater independent parameters are required. Surface electromyography (EMG) during dynamic movements is one possible modality. However, EMG signals are often difficult to understand and interpret clinically. In this study pattern recognition was applied to find suitable parameters to differentiate PD patients from healthy controls.
UR - http://www.scopus.com/inward/record.url?scp=84886537441&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2013.6610865
DO - 10.1109/EMBC.2013.6610865
M3 - Conference contribution
AN - SCOPUS:84886537441
SN - 9781457702167
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 5781
EP - 5784
BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Y2 - 3 July 2013 through 7 July 2013
ER -