Toshiyuki Fujiwara

Juntendo University, Keio University

Papers

2

Total Citations

62

H-Index

2

About

Toshiyuki Fujiwara is a leading figure in neurorehabilitation, with a focused expertise in restoring upper extremity function after stroke. His research bridges the gap between advanced technology and clinical application, primarily exploring the use of robotics, brain-machine interfaces (BMI), and artificial intelligence to drive neural recovery. A landmark contribution is his development of an AI-integrated, electromyography (EMG)-driven robot hand, which detects a patient’s intention to move from forearm muscle signals to assist with finger extension and flexion. This work, detailed in a 2023 randomized controlled trial (40 citations), represents a significant leap in patient-responsive therapy. Earlier, his 2012 paper on "HANDS therapy and BMI neurorehabilitation" (22 citations) established foundational protocols for overcoming the traditional challenges of hemiparetic arm recovery, emphasizing the brain's plastic potential. Fujiwara’s research is notable for moving beyond compensatory strategies to actively restore function, demonstrating that even severe impairments can be addressed through targeted, technology-assisted interventions. His work continues to shape the future of stroke rehabilitation, offering new hope for practical recovery.

Research Focus

Key Achievements

2
H-Index
2
Papers
62
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
New Artificial Intelligence-Integrated Electromyography-Driven Robot Hand for Upper Extremity Rehabilitation of Patients With Stroke: A Randomized, Controlled Trial
40 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Juntendo University, Keio University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago