Ming‐De Chen

Kaohsiung Medical University, Chang Gung University

Papers

2

Total Citations

186

H-Index

2

About

Ming-De Chen is a leading researcher in stroke rehabilitation, whose work has fundamentally advanced our understanding of how technology can restore motor function after neurological injury. His primary research areas center on upper extremity rehabilitation, specifically comparing unilateral versus bilateral robot-assisted arm training and contrasting therapist-based interventions with robotic approaches. Chen’s major contributions include landmark randomized controlled trials that have shaped clinical practice: his 2013 study comparing unilateral and bilateral robot-assisted rehabilitation (104 citations) provided critical evidence on arm-trunk control and functional recovery post-stroke. His 2012 clinical trial (82 citations) systematically evaluated the efficacy of therapist-based versus robot-assisted bilateral arm training on motor control, functional performance, and quality of life in chronic stroke survivors. These studies are notable for their rigorous methodology and direct clinical relevance, helping clinicians make evidence-based decisions about rehabilitation strategies. Chen’s work has been instrumental in demonstrating that robot-assisted therapy can be as effective as, and in some cases superior to, traditional therapist-based approaches, while also reducing physical burden on therapists. His research continues to influence the design of rehabilitation protocols and the integration of technology into stroke recovery programs worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
186
Total Citations
93
Avg Citations/Paper
🏆 Most Cited Paper
Unilateral versus bilateral robot-assisted rehabilitation on arm-trunk control and functions post stroke: a randomized controlled trial
104 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Kaohsiung Medical University, Chang Gung University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago