Jessica Sikula
Papers
1
Total Citations
5
H-Index
1
About
Jessica Sikula is a researcher in biomedical engineering, with a focus on human-machine interfaces and assistive robotics. Her work centers on the use of electromyography (EMG) to bridge the gap between biological signals and prosthetic control. In her most cited study, “Human forearm myoelectric signals used for robotic hand control” (2014, 5 citations), Sikula demonstrated a complete signal processing pipeline—from amplification and filtering to rectification and analog-to-digital conversion—that enables raw myoelectric data to reliably guide robotic hand movements. This foundational contribution highlights the critical preprocessing steps required to make EMG-driven prosthetics both accurate and responsive. Though early in her career, Sikula’s research addresses a pressing need in rehabilitation technology: translating muscle activity into intuitive, real-time control. Her work lays essential groundwork for future advances in wearable robotics and neural interfaces, offering a clear, practical pathway toward more natural prosthetic function.
Research Focus
Key Achievements
Top Papers
- 1Human forearm myoelectric signals used for robotic hand control5 citations · 2014