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Andreas Kuhner
Andreas Kuhner
University of Freiburg, Autonomous Intelligent Systems
Verified email at dk-netz.de
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Correlations between motor symptoms across different motor tasks, quantified via random forest feature classification in Parkinson’s disease
A Kuhner, T Schubert, M Cenciarini, IK Wiesmeier, VA Coenen, ...
Frontiers in neurology 8, 292707, 2017
272017
An online system for tracking the performance of Parkinson's patients
A Kuhner, T Schubert, C Maurer, W Burgard
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
92017
Motion Biomarkers Showing Maximum Contrast Between Healthy Subjects and Parkinson's Disease Patients Treated With Deep Brain Stimulation of the Subthalamic Nucleus. A Pilot Study
A Kuhner, IK Wiesmeier, M Cenciarini, TL Maier, S Kammermeier, ...
Frontiers in neuroscience 13, 447898, 2020
72020
A probabilistic approach based on Random Forests to estimating similarity of human motion in the context of Parkinson's Disease
A Kuhner, T Schubert, M Cenciarini, C Maurer, W Burgard
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
52016
Age-related changes in mobility assessments correlate with repetitive goal-directed arm-movement performance
ID Walz, S Waibel, A Kuhner, A Gollhofer, C Maurer
BMC geriatrics 23 (1), 487, 2023
12023
Objective: In this pilot study, we attempted to identify motion features revealing maximum contrast between healthy subjects and PD patients with deep brain stimulation (DBS …
A Kuhner, IK Wiesmeier, M Cenciarini, TL Maier, S Kammermeier, ...
New Technologies for Detection, Monitoring and Treatment of Parkinson’s Disease, 2020
2020
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