About

Genichi Tanino is a rehabilitation science researcher whose work centers on robotic-assisted therapy and neuromuscular interventions for stroke patients experiencing hemiplegia and hemiparesis. His research has made meaningful contributions to understanding how emerging technologies can accelerate motor recovery in both upper and lower limb rehabilitation following stroke. Tanino's most impactful work involves the Gait Exercise Assist Robot (GEAR), a device designed to improve walking ability in stroke patients with hemiplegia. His 2019 randomized controlled trial on GEAR has accumulated 68 citations, establishing foundational clinical evidence for robotic gait training. An earlier 2017 study further validated GEAR's effectiveness, collectively positioning this line of research as a significant reference point in neurorehabilitation literature. Beyond gait rehabilitation, Tanino has explored the synergistic potential of combining robotics with neuromuscular electrical stimulation (NMES) for upper limb recovery. His 2016 investigation demonstrated that untriggered NMES could enhance the outcomes of shoulder and elbow robotic training, earning 26 citations and offering clinicians a practical, combinatory treatment strategy. Through randomized trials and collaborative clinical studies, Tanino has helped bridge the gap between emerging rehabilitation technologies and evidence-based practice, making his work particularly valuable for clinicians and researchers advancing stroke recovery protocols.

Research Focus

Key Achievements

4
H-Index
4
Papers
118
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia
68 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Fujita Health University, Fujita Health University Hospital, Fujita Health University Nanakuri Memorial Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago