Yuya Matsumoto
Papers
10
Total Citations
183
H-Index
8
About
Yuya Matsumoto is a pioneering researcher at the intersection of wearable robotics, biomedical signal processing, and human-machine interfaces. His primary research focuses on developing assistive technologies for individuals with essential tremor (ET), a debilitating neurological disorder causing involuntary limb oscillations. Matsumoto’s major contributions include the creation of myoelectric-controlled exoskeletal robots that suppress tremor while preserving natural voluntary movement. His work on signal processing—using STFTs, TDNNs, and tremor-frequency-based filters—has been instrumental in extracting voluntary motion from corrupted EMG signals, enabling intuitive robotic support for daily activities like eating and drinking. Beyond tremor suppression, he has advanced wearable sensing with an ultrathin epidermal strain sensor (53 citations) that uses inkjet-printed conductive polymer on elastomer nanosheets, achieving unprecedented conformability for skin-contact monitoring. His research also explores joint angle estimation from muscle bulge movement and brain-activity feedback for surgical robot control. With over 180 cumulative citations, Matsumoto’s innovations bridge materials science, neural engineering, and rehabilitation robotics, offering transformative solutions for patients with movement disorders and advancing the frontier of human-robot interaction.
Research Focus
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Top Papers
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