Sridhar P. Arjunan

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About

Sridhar P. Arjunan is a leading researcher in biomedical engineering, specializing in the analysis of surface electromyography (sEMG) signals for assistive technology and rehabilitation. His work focuses on developing advanced signal processing techniques—particularly Independent Component Analysis (ICA) and fractal dimension methods—to decode subtle muscle movements from sEMG data. His most-cited paper, "Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review" (2011), has garnered 32 citations, establishing a foundational framework for non-invasive control of prosthetic and robotic devices. Arjunan’s contributions extend to practical assistive solutions, as highlighted in his work "Devices for Mobility and Manipulation for People with Reduced Abilities" (2014), which explores technologies to enhance independence for individuals with physical impairments. He also developed a capture protocol for four-channel forearm sEMG signals in both healthy and amputee subjects (2012), addressing critical challenges in signal quality for prosthetic control. By bridging theoretical signal analysis with real-world rehabilitation applications, Arjunan’s research has significant implications for improving the quality of life for people with reduced mobility, making him a key figure in the field of human-machine interaction and assistive robotics.