In collaboration with coworkers from the Italian Institute of Technology and Columbia University, Juergen Konczak, Ph.D., professor in the School of Kinesiology and director of the Human Sensorimotor Control Lab, published a paper entitled “Biofeedback Signals for Robotic Rehabilitation: Assessment of Wrist Muscle Activation Patterns in Healthy Humans” in Transactions on Neural Systems & Rehabilitation Engineering. Marianna Semprini is the first author and Konczak is the senior author.
An excerpt from the abstract: “Electrophysiological recordings from human muscles can serve as control signals for robotic rehabilitation devices. Given that many diseases affecting the human sensorimotor system are associated with abnormal patterns of muscle activation, such biofeedback can optimize human-robot interaction and ultimately enhance motor recovery. To understand how mechanical constraints and forces imposed by a robot affect muscle synergies, we mapped the muscle activity of 7 major arm muscles in healthy individuals performing goal-directed discrete wrist movements constrained by a wrist robot.”