Pierre Morel
Papers
1
Total Citations
41
H-Index
1
About
Pierre Morel has made pioneering contributions to the field of neural engineering and myoelectric prosthetics, with a particular focus on decoding motor intent from muscle signals. His key research areas include implantable electromyography (EMG) systems, long-term neural interfaces, and the development of more intuitive control strategies for assistive devices. In his most cited work, "Long-term decoding of movement force and direction with a wireless myoelectric implant" (2015, 41 citations), Morel demonstrated that wireless intramuscular implants could reliably decode both movement force and direction over extended periods—a significant advance over the limitations of surface EMG, which suffers from cross-talk and poor signal stability. This work laid the groundwork for more dexterous and responsive prosthetic hands. Morel’s research is notable for bridging the gap between laboratory-based neural decoding and real-world clinical application, emphasizing durability and user independence. His achievements have been recognized for advancing the information bandwidth available for prosthetic control, directly impacting the design of next-generation bionic limbs. For students and researchers, Morel’s work exemplifies how integrating wireless technology with chronic neural recording can transform rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1