Nagananda SN
Papers
1
Total Citations
5
H-Index
1
About
Nagananda SN is a researcher in biomedical engineering and assistive technology, with a primary focus on myoelectric control systems for bionic prosthetics. His most cited work, "Development of Surface-EMG Based Single Finger Movement Identification and Control for a Bionic Arm" (2018), addresses a critical challenge in neuroprosthetics: enabling precise, individual finger control using non-invasive surface electromyography (sEMG) signals. By developing algorithms to decode subtle muscle activity patterns, Nagananda’s research bridges the gap between invasive and non-invasive neural interfaces, offering a more accessible pathway for amputees to achieve naturalistic hand movements—including grasp, release, and wrist rotation. Though his citation count is modest, his contributions are significant for advancing low-cost, user-friendly bionic arm control. His work has implications for rehabilitation engineering and human-machine interaction, demonstrating how machine learning and signal processing can restore fine motor function. Nagananda’s research stands out for its practical focus on single-finger dexterity, a key milestone toward intuitive prosthetic control.
Research Focus
Key Achievements
Top Papers
- 1