Federica Verdini

Federica Verdini is a Researcher and Chief-staff scientist at the Movement Analysis Lab, Università Politecnica delle Marche. She teaches Automatic Control for Biomedical and Electronic Engineering courses. Her research focuses on biological signal processing for human movement analysis and neuromuscular control modeling, with applications in diabetic neuropathy screening and gait analysis. She holds an MS in Electronic Engineering (Ancona University, 1997) and a PhD in Bioengineering (Bologna University, 2001). She has contributed to numerous European and national research projects.

Verdini’s work involves developing algorithms for EMG and inertial sensor data analysis, wearable technologies, and clinical applications. Her studies include gait phase recognition, balance maintenance modeling, and minimal sensor setups for activity recognition. She collaborates on projects like the Kimore Dataset for remote rehabilitation monitoring and validation of Nintendo Wii Balance Board for clinical assessments.

Key technical contributions include neuromuscular control models, signal fusion techniques, and machine learning approaches for biomechanical analysis. She has published extensively on topics such as EMG-based force estimation, postural stability in diabetic patients, and robotic control systems. Her research bridges engineering and medicine, aiming to improve clinical diagnostics and assistive technologies.