Michele Canepa received the B.Sc degree and the M.Sc degree in Electrical Engineering at the University of Genoa in 2010 and 2014 respectively. He worked as a fellow researcher at University of Genoa, focusing on developing embedded electrical measurements instruments. In 2014 joined Italian Institute of Technology to develop electrical and electronic systems for robotic medical devices. Since then, he designed electronics for upper and lower limb prostheses, lower limb exoskeletons and rehabilitation robots. In 2017 joined the IIT startup company Movendo Technology as Lead Electrical Engineer. Currently he is Senior Electrical Engineer and Team Leader of the Electronics Team at the Rehab Technologies Laboratory (IIT) in Genoa (Italy). His expertise lies in the development and industrialization of electrical systems for robotic medical devices 
								
                			Phone
			              	+39 010 2896 590
	              			Research center
					              	CCT@Morego
				              			Biografia
	              			Education
	              			
							                Title: M.Sc. Electrical Engineering
							                Institute: University of Genoa
							                Location: Genoa
							                Country: Italy
							                From: 2010 To: 2014
						                
All Publications
	                2025
										Quadrelli D., Canepa M., Di Domenico D., Boccardo N., Chiappalone M., Laffranchi M.
										Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control
										Frontiers in Neuroscience, vol. 19
									
										
											Article
										
										
											Journal
										
										
									
								2025
										Quadrelli D., Di Domenico D., Canepa M., Marinelli A., Gandolla M., Frigo C.A., Chiappalone M., Boccardo N., Laffranchi M.
										Algorithm for Detecting Shifts in High-Density EMG Sensors
										Biosystems and Biorobotics, vol. 31, pp. 374-378
									2025
										Garro F., Fenoglio E., Ceroni I., Forsiuk I., Canepa M., Mozzon M., Bruschi A., Zippo F., Laffranchi M., De Michieli L., Buccelli S., Chiappalone M., Semprini M.
										An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment
										Scientific data, vol. 12, (no. 1)
									2025
										Laffranchi M., De Giuseppe S., Freddolini M., Driessen J., Barresi G., Canepa M., Boccardo N., Cherubini A., Mozzon M., Gruppioni E., De Michieli L., Traverso S.
										Design of Semi-Powered Knee Prostheses for Improved Versatility
										Biosystems and Biorobotics, vol. 31, pp. 129-133
									2025
										Bianchino P., Caserta G., Canepa M., Di Domenico D., Boccardo N., Laffranchi M.
										Preliminary Results of a Multimodal Bidirectional Armband for Sensing and Feedback
										IEEE International Conference on Rehabilitation Robotics, pp. 983-988
									Awards and Achievements
	                2020
										Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., Gruppioni E., De Michieli L.
										Compasso d'oro
										
									2020
										Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., Gruppioni E., De Michieli L.
										XXVI Compasso d'oro
										
									2018
										Laffranchi M., Boccardo N., Traverso S., Lince A., Canepa M., Saglia J., Gruppioni E., Sacchetti R., Diamanti G., Poli F., De Bartolomeis L., De Michieli L.
										ADI Design Index
										
									2018
										Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., Gruppioni E., De Michieli L.
										ADI Design Index
										
									2018
										Laffranchi M., Boccardo N., Traverso S., Lombardi L., Lince A., Canepa M., Saglia J., Gruppioni E., Sacchetti R., Diamanti G., Poli F., De Bartolomeis L., De Michieli L.
										Good Design
										
									Colleagues of Rehab Technologies - INAIL-IIT lab