Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data

Dokumenttyp:: Poster
Autor(en):: F. Pfister; D. Kulić; T. Um; D. Pichler; A. Ahmadi; M. Lang; G. König; F. Achilles; S. Endo; K. Abedinpour; K. Ziegler; K. Bötzel; S. Hirche; A. Ceballos-Baumann; U. Fietzek
Titel:: Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data
Stichworte:: medical_endo; copdmode
Kongresstitel:: International Parkinson and Movement Disorder Society
Kongress / Zusatzinformationen:: 21st International Congress, Vancouver, BC
Datum:: 04.06.2017
Jahr:: 2017
URL:: http://www.mdsabstracts.org/abstract/deep-learning-in-objective-classification-of-spontaneous-movement-of-patients-with-parkinsons-disease-using-large-scale-free-living-sensor-data/
BibTeX