Kenichi Ozaki

National Center for Geriatrics and Gerontology

Papers

6

Total Citations

124

H-Index

5

About

Kenichi Ozaki is a prominent rehabilitation scientist and clinical researcher whose work centers on robotic-assisted rehabilitation, balance training, and the application of emerging technologies in patient care. He is best known for his pioneering research into the Balance Exercise Assist Robot (BEAR), a specialized system designed to improve postural stability and functional mobility in vulnerable populations. His landmark 2017 cross-over trial, which has garnered 61 citations, demonstrated that BEAR-based training significantly outperforms conventional balance therapy in frail community-dwelling older adults — a finding that has helped reshape approaches to fall prevention in geriatric care. Ozaki has expanded this work across diverse clinical populations, including patients with central nervous system disorders, hip fractures, and cardiovascular disease undergoing cardiac rehabilitation, consistently demonstrating meaningful functional gains through robot-assisted intervention. His 2022 investigations further extended these applications to stroke recovery, exploring how gait-assist robotics relate to trunk verticality and walking independence. Beyond hardware-based rehabilitation, Ozaki has also contributed to the growing discourse on artificial intelligence in dementia care and fall prevention. With a body of work accumulating over 120 citations, his research stands as a vital bridge between advanced rehabilitation technology and practical clinical application.

Research Focus

Key Achievements

5
H-Index
6
Papers
124
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Training with a balance exercise assist robot is more effective than conventional training for frail older adults
61 citations · 2017
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: National Center for Geriatrics and Gerontology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago