Heiko Gaßner
0000-0003-2037-9460
6 papers found
Refreshing results…
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters
Detection of Unsupervised Standardized Gait Tests From Real-World Inertial Sensor Data in Parkinson’s Disease
Missing publications? Search for publications with a matching author name.