Roger Gassert

Full Professor of Rehabilitation Engineering

ETH Zürich

Switzerland

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Roger Gassert is a Full Professor of Rehabilitation Engineering at ETH Zurich, Switzerland. His research focuses on biomechanics, neuro-cognitive effects related to body ownership, and the development of innovative therapies for stroke rehabilitation. Recent work includes advancements in motion capture techniques, neurofeedback systems for Parkinson's disease, and the design of robotic assistance technologies for motor recovery.

Roger Gassert

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Articles (15)

Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison With Optical Motion Capture

Neurofeedback-enabled beta power control with a fully implanted DBS system in patients with Parkinson’s disease

Neuro-cognitive effects of degraded visibility on illusory body ownership

Design, characterization and preliminary usability testing of a portable robot for unsupervised therapy of hand function

Effects of wrist posture and stabilization on precision grip force production and muscle activation patterns

A novel method to increase specificity of sleep-wake classifiers based on wrist-worn actigraphy

In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures

An online method to monitor hand muscle tone during robot-assisted rehabilitation

Design and validation of a novel online platform to support the usability evaluation of wearable robotic devices

Digital health metrics reveal upper limb impairment profiles in ARSACS

Reliability, validity and clinical usability of a robotic assessment of finger proprioception in persons with multiple sclerosis

Progressive Transition From Supervised to Unsupervised Robot-Assisted Therapy After Stroke: Protocol for a Single-Group, Interventional Feasibility Study

The Evolution of Hand Proprioceptive and Motor Impairments in the Sub-Acute Phase After Stroke

Clinical utility of a pediatric hand exoskeleton: identifying users, practicability, and acceptance, and recommendations for design improvement

Transfer Learning Based on Optimal Transport for Motor Imagery Brain-Computer Interfaces

Collaborators (8)

Alexis Block

Claudia Haarman

Olivier Lambercy

Ilse Lamers

silvio ionta

Paolo Rossi

Hubertus J. A. van Hedel

Otmar Hilliges

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