Matteo Gillardo
Papers
1
Total Citations
9
H-Index
1
About
Matteo Gillardo is a researcher at the intersection of rehabilitation robotics and neuromuscular assessment, with a primary focus on developing objective, technology-driven methods to evaluate muscle fatigue. His most-cited work, "A novel method for muscle fatigue assessment during robot-based tracking tasks" (2017, 9 citations), introduces an innovative approach that leverages surface electromyography (sEMG) signals in conjunction with a robotic device. This method is designed to be both easy and fast to administer while maximizing repeatability and objectivity—a significant improvement over traditional, often subjective fatigue assessments. By addressing muscle fatigue, a common experience in healthy individuals but a debilitating symptom in those with neuromuscular disorders, Gillardo’s research has direct implications for clinical rehabilitation and human-robot interaction. His contributions help pave the way for more precise monitoring of motor impairment and recovery, offering tools that can be integrated into robot-assisted therapy protocols. With a growing citation footprint, Gillardo’s work is gaining traction among engineers and clinicians seeking reliable, quantitative biomarkers for fatigue in dynamic task environments.
Research Focus
Key Achievements
Top Papers
- 1