Sushmi Mazumdar

Papers

Total Citations

H-Index

About

Sushmi Mazumdar’s research sits at the intersection of rehabilitation robotics, biomedical signal processing, and human-machine interaction, with a primary focus on advancing prosthetic hand technology. Her most cited work, “Recent advancements in prosthetic hand technology” (2016, 42 citations), provides a comprehensive review of how breakthroughs in robotics, artificial intelligence, and cognitive science have enabled the development of sophisticated bio-mimetic prosthetic systems—a foundational resource for researchers in the field. Mazumdar has also made significant contributions to understanding muscle activity patterns, as seen in her comparative study on feature extraction from healthy subjects (8 citations), which aids in designing more intuitive control systems for upper-limb amputees. Her 2017 study on determining significant muscles during upper limb movement using maximum voluntary contraction of EMG signals (4 citations) offers practical insights for rehabilitation robotics, particularly for aging populations. By bridging signal analysis with prosthetic design, Mazumdar’s work directly impacts the creation of more responsive, naturalistic assistive devices. Her research is especially valuable for students and engineers seeking to understand the physiological and technological foundations of next-generation bionic limbs.