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About

Koji Iihara is a researcher specializing at the intersection of neurotechnology, neurorehabilitation, and brain-computer interface (BCI) systems, with a particular focus on post-stroke motor recovery. His most notable contributions center on developing and refining NIRS (near-infrared spectroscopy)-triggered robotic hand orthosis systems designed to restore hand function in stroke patients who retain little to no voluntary motor capability. Iihara's most influential work, published in 2019 and accumulating 15 citations, investigates how optimizing feature vector compositions can meaningfully enhance BCI performance, directly improving the precision and responsiveness of rehabilitation devices. His 2017 multichannel NIRS study, cited 9 times, introduced a foundational robotic rehabilitation framework that translates real-time brain signals into assistive movement, addressing a critical gap in stroke care. His 2018 research further advanced the field by exploring patient-tailored classification approaches, recognizing that individualized signal processing is essential for clinical effectiveness. Collectively, Iihara's work represents a meaningful push toward personalized, neurologically-informed stroke rehabilitation, bridging cutting-edge brain imaging technology with practical therapeutic robotics—offering genuine promise for patients facing severe motor impairments with few conventional treatment options.