Ikuko Fuse
Papers
2
Total Citations
10
H-Index
2
About
Ikuko Fuse’s research sits at the intersection of rehabilitation robotics and neurorecovery, with a focus on restoring mobility and balance in patients with severe neurological impairments. Her most cited work, a 2019 study on gait reconstruction using the WPAL (Wearable Power-Assist Locomotor) robot, demonstrated that individuals with cervical spinal cord injury could achieve coordinated, weight-bearing walking patterns through robotic assistance—a breakthrough for those traditionally considered non-ambulatory. This paper, with 7 citations, underscores her role in advancing real-world applications of exoskeletal technology. Fuse also contributed to a 2016 study on a balance exercise assist robot for chronic stroke survivors with hemiplegia, showing that game-based task difficulty during training directly correlates with post-therapy balance improvements. Though early in her citation trajectory, her work is notable for its pragmatic, patient-centered design: she prioritizes measurable functional gains over theoretical novelty. By integrating robotics into conventional rehabilitation protocols, Fuse is helping to bridge the gap between assistive devices and long-term neural adaptation, making her a rising voice in the field of robotic neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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- 2