Extracting behavioral measurements non-invasively from video is stymied by the fact that it is
a hard computational problem. Recent advances in deep learning have tremendously …

Recent advances in data analytics and computer-aided diagnostics stimulate the vision of
patient-centric precision healthcare, where treatment plans are customized based on the …

The second Stroke Recovery and Rehabilitation Roundtable “metrics” task force developed
consensus around the recognized need to add kinematic and kinetic movement …

Stroke is a leading cause of disability. While neurotechnology has shown promise for
improving upper limb recovery after stroke, efficacy in clinical trials has been variable. Our …

Background Evidence from animal studies suggests that greater reductions in poststroke
motor impairment can be attained with significantly higher doses and intensities of therapy …

Background Smoothness is commonly used for measuring movement quality of the upper
paretic limb during reaching tasks after stroke. Many different smoothness metrics have …

Background Technology-supported rehabilitation can help alleviate the increasing need for
cost-effective rehabilitation of neurological conditions, but use in clinical practice remains …

Human–exoskeleton interactions have the potential to bring about changes in human
behavior for physical rehabilitation or skill augmentation. Despite significant advances in the …

Introduction Muscle synergies have been proposed as a strategy employed by the central
nervous system to control movements. Muscle synergy analysis is a well-established …

As the number of patients with impaired nerves is continuously increasing day by day
around the globe, rehabilitation training by the physical therapist is more time-consuming …