Palayil Baby Jephil
Papers
1
Total Citations
17
H-Index
1
About
Palayil Baby Jephil is a researcher at the forefront of assistive rehabilitation robotics, specializing in the intersection of biomedical signal processing and human–robot interaction. His work centers on developing intelligent control systems that enable robots to intuitively support human movement, particularly for individuals with motor impairments. Jephil’s most cited study, “Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots” (2019), has garnered 17 citations and represents a significant contribution to the field. In this work, he pioneered a method to accurately predict ankle joint dynamics using surface electromyography (s-EMG) signals, offering a non-invasive, real-time approach to controlling rehabilitation exoskeletons. This innovation bridges the gap between neural intent and robotic assistance, enhancing the naturalness and effectiveness of therapy for stroke survivors and spinal cord injury patients. Jephil’s research not only advances the technical precision of assistive devices but also underscores a deep commitment to improving quality of life through human-centered engineering. His findings have implications for personalized rehabilitation protocols and the broader development of wearable robotic systems.
Research Focus
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Top Papers
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