Explaining Motion Control Precision via sEMG for Physiological Feedback in Robotic Surgery Training
These findings confirm that specific sEMG features can effectively characterize the neuromuscular control patterns underlying surgical maneuvers and identify muscle-specific root causes of error (such as excessive tension or proximal instability) thereby facilitating the generation of targeted, semantically meaningful...