Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson's disease

Marxreiter F, Gaßner H, Borozdina O, Barth J, Kohl Z, Schlachetzki J, Thun-Hohenstein C, Volc D, Eskofier B, Winkler J, Klucken J (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Journal of Neural Transmission Springer Nature

Book Volume: 126

Pages Range: 652-652

Journal Issue: 5

DOI: 10.1007/s00415-018-9012-7

Authors with CRIS profile

Franz Marxreiter Department of Molecular Neurology Heiko Gaßner Department of Molecular Neurology Jens Barth Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Zacharias Kohl Department of Molecular Neurology Johannes Schlachetzki Department of Molecular Neurology Björn Eskofier Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Jürgen Winkler Professur für Molekulare Neurologie Jochen Klucken Department of Molecular Neurology

Additional Organisation(s)

Machine Learning and Data Analytics Lab Interdisziplinäres Zentrum für Klinische Forschung

Involved external institutions

Privatklinik Confraternität AT Austria (AT) Goethe-Universität Frankfurt am Main DE Germany (DE)

How to cite

APA:

Marxreiter, F., Gaßner, H., Borozdina, O., Barth, J., Kohl, Z., Schlachetzki, J.,... Klucken, J. (2019). Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson's disease. (pp. 652-652).

MLA:

Marxreiter, Franz, et al. "Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson's disease." 2019. 652-652.

BibTeX: Download