Kadek Heri Sanjaya

Papers

Total Citations

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About

Kadek Heri Sanjaya is a researcher focused on the intersection of rehabilitation robotics and biomedical signal processing, with a particular emphasis on improving motor recovery outcomes. His most cited work, "EMG Patterns of Healthy Subjects with Shoulder Rehabilitation Robot" (2019, 4 citations), explores how electromyography (EMG) can reveal the internal muscular responses of subjects during robot-assisted therapy—challenging the assumption that robotic movements alone guarantee correct rehabilitation. By analyzing EMG patterns in healthy individuals, Sanjaya contributes foundational knowledge for designing smarter, feedback-driven rehabilitation systems that account for the body’s internal state, not just external motion. This work underscores his broader interest in human-robot interaction and assistive technology, where he seeks to bridge the gap between robotic precision and physiological reality. While his citation count is modest, his research addresses a critical gap in rehabilitation engineering: ensuring that robotic training aligns with natural neuromuscular control. Sanjaya’s contributions are particularly valuable for students and researchers developing adaptive, patient-centered rehabilitation robots that respond to real-time biological signals, paving the way for more effective and personalized motor recovery interventions.