Papers

4

Total Citations

116

H-Index

4

About

Shohei Tsuchimoto’s research lies at the intersection of neurorehabilitation and assistive robotics, with a focus on restoring motor function after stroke and improving care quality in nursing facilities. In a landmark 2019 study, Tsuchimoto demonstrated that sensorimotor connectivity in post-stroke hemiplegic patients can be enhanced through motor exercise combined with neurofeedback—a finding that has garnered 49 citations and opened new pathways for brain-computer interface–based therapy. His work on wearable transfer support robots, particularly the “Hug” device, is equally impactful. Through observational studies at nursing facilities, Tsuchimoto identified key care tasks where these robots reduce physical burden on caregivers and, notably, showed that long-term use increases verbal communication between staff and residents—a subtle but profound improvement in quality of life. His proficiency analyses comparing skilled and unskilled nursing homes (13 citations) provide actionable insights for training and implementation. By bridging rigorous neurophysiological research with real-world geriatric care, Tsuchimoto’s contributions are shaping both clinical rehabilitation and the human-centered design of assistive technologies.

Research Focus

Key Achievements

4
H-Index
4
Papers
116
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Sensorimotor Connectivity after Motor Exercise with Neurofeedback in Post-Stroke Patients with Hemiplegia
49 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Japan Society for the Promotion of Science, National Center for Geriatrics and Gerontology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago