Papers

8

Total Citations

42

H-Index

5

About

Daisuke Imoto is a leading researcher in robotic neurorehabilitation, whose work centers on restoring gait function in individuals with hemiparetic stroke. His primary contributions involve the clinical application and evaluation of two key robotic systems: the Gait Exercise Assist Robot (GEAR) and the Welwalk platform. Imoto has been instrumental in demonstrating that robot-assisted gait training (RAGT) can significantly improve gait independence, even when initiated within the first week post-stroke. His landmark multicenter randomized controlled trial (2024, 8 citations) provided assessor-blinded evidence for Welwalk's efficacy, while his case report on GEAR (2018, 9 citations) established foundational proof-of-concept. Beyond treatment, Imoto has advanced the field by developing novel gait analysis systems that use robotic sensors to detect abnormal hemiparetic patterns during training, enabling personalized, data-driven therapy. His work on the Balance Exercise Assist Robot (BEAR) also explores postural strategy changes, broadening the scope of robotic rehabilitation. With a growing citation impact and a focus on acute-to-chronic stroke populations, Imoto is shaping the future of precision rehabilitation, where robots not only assist movement but also intelligently guide recovery.

Research Focus

Key Achievements

5
H-Index
8
Papers
42
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Gait training using a stationary, one-leg gait exercise assist robot for chronic stroke hemiplegia: a case report
9 citations · 2018
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Kyoto Prefectural University of Medicine, Fujita Health University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago