Logan Leahy
Papers
1
Total Citations
11
H-Index
1
About
Logan Leahy is a leading researcher in neuromuscular engineering, with a primary focus on electromyography (EMG) signal processing, neural control of movement, and the development of advanced human-machine interfaces. His most cited work, "High-density Surface and Intramuscular EMG Data from the Tibialis Anterior During Dynamic Contractions" (2023, 11 citations), provides a critical open-access dataset that bridges surface and intramuscular recordings, enabling more precise decoding of neural commands during dynamic tasks. This contribution is foundational for advancing wearable robotics, prosthetics, and our understanding of muscular coordination. By validating novel approaches for interfacing with the nervous system, Leahy’s research directly addresses the challenge of translating neural intent into mechanical action—a key bottleneck in assistive technology. His work has already influenced studies on motor unit behavior and real-time control of exoskeletons, and his dataset serves as a benchmark for the field. With a growing citation record and a clear translational impact, Leahy is establishing himself as a key voice in the future of neurorehabilitation and bionic limb control.
Research Focus
Key Achievements
Top Papers
- 1