Papers
3
Total Citations
95
H-Index
3
About
Ram Singh is a leading researcher in the field of rehabilitation robotics, with a core focus on the control of exoskeleton robots using surface electromyography (EMG) signals. His work addresses the critical challenge of integrating human physiological signals with robotic systems to aid in stroke rehabilitation and assistive technologies. Singh’s most influential contribution is his comprehensive 2012 review on EMG-based control schemes for exoskeleton robots, which has garnered 62 citations and serves as a foundational resource for researchers exploring active powered exoskeletons. He further advanced this domain with a 2013 review specifically targeting stroke rehabilitation, highlighting the socio-economic impact of neuromuscular injuries and the need for intuitive human-robot interfaces. In his 2018 study, Singh demonstrated a novel approach to classifying surface EMG signals by combining ensemble algorithms with principal component analysis (PCA) and discrete wavelet transform (DWT), achieving robust control for robotic applications. With over 95 total citations across his key works, Singh’s research bridges the gap between biomedical signal processing and practical robotic control, offering scalable solutions for restoring mobility in patients with paralysis or limb loss. His work remains pivotal for students and engineers developing next-generation, human-centered robotic systems.
Research Focus
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Top Papers
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