Erika Zabre
Papers
1
Total Citations
12
H-Index
1
About
Erika Zabre is a rising leader in biomechatronics and neural control, whose work bridges the gap between human physiology and assistive technology. Her primary research focuses on decoding the neuromuscular system to enhance lower-limb prosthetics, particularly through myoelectric control and predictive modeling of human locomotion. In her most cited work, "Continuous Myoelectric Prediction of Future Ankle Angle and Moment Across Ambulation Conditions and Their Transitions" (2021, 12 citations), Zabre demonstrated that a single neural network can continuously predict future ankle kinematics and kinetics across varying terrains and transitions—a critical advance for enabling amputees to navigate real-world environments with seamless, adaptive prosthetic control. This research tackles a fundamental challenge in the field: the human ability to anticipate terrain changes, which current prostheses fail to replicate. By showing that muscle activity can forecast movement intent, Zabre’s work lays the groundwork for more intuitive, responsive prostheses. Her contributions are already shaping next-generation control algorithms, and her innovative approach to integrating continuous prediction with real-time adaptation marks her as a key figure in the future of bionic limb technology.
Research Focus
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Top Papers
- 1