Frank Zanov

Papers

Total Citations

146

H-Index

About

Dr. Frank Zanov is a leading figure in neurorehabilitation engineering, whose work bridges the gap between human physiology and robotic assistance. His primary research focuses on the neural control of movement, specifically how robotic exoskeletons and neuroprosthetic technologies interact with the human neuromuscular system to restore walking function. Zanov’s most influential contribution is his seminal 2014 paper, “EMG patterns during assisted walking in the exoskeleton,” which has garnered 146 citations. This work critically examined how the guidance forces of an exoskeleton alter sensory inputs and sensorimotor interactions, revealing that while these devices facilitate stepping and reduce muscle effort, they can fundamentally reshape the body’s natural muscle activity patterns. By demonstrating that robotic assistance may inadvertently disrupt the very neural pathways it aims to retrain, Zanov provided a foundational framework for designing smarter, more adaptive rehabilitation robots. His research is essential for students and engineers seeking to develop exoskeletons that truly promote motor recovery rather than simply replacing lost function.