Pranav J. Parikh
Papers
2
Total Citations
22
H-Index
2
About
Pranav J. Parikh is a researcher at the intersection of neural engineering, rehabilitation robotics, and human-machine interaction. His work focuses on developing intelligent systems that bridge the gap between human physiology and robotic assistance, with a particular emphasis on restoring motor function and improving patient care. Parikh’s most cited paper, "Regression-based reconstruction of human grip force trajectories with noninvasive scalp electroencephalography" (2019, 15 citations), demonstrates a novel approach to decoding motor intent from EEG signals. This work is foundational for creating more intuitive brain-computer interfaces (BCIs) that could enable individuals with upper limb paralysis or amputation to control robotic prosthetics with greater precision and reliability. In another significant contribution, "SMART BED AND CONTACT IMPACT OF FLEXIBLE BODIES USING ENERGY COMPENSATION METHOD" (2015, 7 citations), Parikh addresses a critical healthcare challenge: preventing pressure ulcers in bedridden patients. He proposes a robotic smart bed that acts as an intelligent caregiver, using energy compensation methods to dynamically redistribute pressure and reduce the physical burden on human staff. Together, these projects highlight Parikh’s commitment to translating engineering principles into tangible solutions for motor rehabilitation and assistive care.
Research Focus
Key Achievements
Top Papers
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