Kensuke Takenaka

Yokohama National University

Papers

2

Total Citations

3

H-Index

1

About

Kensuke Takenaka is an emerging researcher specializing in rehabilitation robotics and human-machine interface technologies, with a particular focus on developing innovative systems to support recovery for individuals with upper limb paralysis. His work sits at the intersection of biomedical engineering, motor learning, and robotic assistance, addressing a critical clinical need for more effective rehabilitation tools. Takenaka's most notable contribution is the development of a hybrid rehabilitation system that leverages electromyography (EMG) signals to estimate and assist patient motion. This approach enables more personalized, responsive robotic support during upper limb rehabilitation, helping patients reconstruct the functional movements needed for daily life and social participation. His follow-up investigation into motor learning effects using this system demonstrates a commitment to not only engineering innovation but also understanding the neurological and physiological outcomes of robotic-assisted therapy. Though still in the early stages of his citation trajectory — with his 2023 paper accumulating 2 citations and his 2024 work gaining initial traction — Takenaka's research addresses a growing global demand for intelligent rehabilitation technologies. His work offers promising foundations for future advancements in EMG-driven assistive robotics and evidence-based rehabilitation support systems.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Rehabilitation System with Motion Estimation Based on EMG Signals
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Yokohama National University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago