About

Maximilian J. Wessel is a researcher at the forefront of neurorehabilitation and human-computer interaction, with a particular focus on upper limb motor recovery following stroke. His work sits at the intersection of neurotechnology, gamified rehabilitation, and robotics, addressing one of clinical medicine's most persistent challenges: restoring motor function in severely impaired stroke survivors. Wessel's most influential contribution, "Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke" (2019, 214 citations), established him as a leading voice in reviewing and synthesizing evidence for technology-driven rehabilitation strategies. This widely cited work has become an essential reference for clinicians and engineers alike. Complementing this, his iterative design work on tangible robotic rehabilitation games demonstrates a rare ability to bridge engineering innovation with patient-centered care, earning over 50 additional citations. His research consistently tackles real-world rehabilitation barriers — motivation, accessibility, and movement quality — through intelligent game design, adaptive difficulty systems, and compensatory motion detection. Notably, he has extended this work to healthy aging populations, broadening the societal relevance of his findings. Across his portfolio, Wessel's research reflects a rigorous, human-centered approach to making rehabilitation more effective, engaging, and accessible.

Research Focus

Key Achievements

6
H-Index
7
Papers
314
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke
214 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Clinique Romande de Réadaptation, École Polytechnique Fédérale de Lausanne, Human Computer Interaction (Switzerland)

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago