For reaching and gras**, as well as for manipulating objects, optimal hand motor control
arises from the integration of multiple sources of sensory information, such as proprioception …

Despite concerted efforts over the last three decades, upper-extremity robotic rehabilitation
has yet to reach its full potential. We assert that assuming the goal of robotic rehabilitation is …

Background Robots can generate rich kinematic datasets that have the potential to provide
far more insight into impairments than standard clinical ordinal scales. Determining how to …

Background Traditional clinical assessments are used extensively in neurology; however,
they can be coarse, which can also make them insensitive to change. Kinarm is a robotic …

Background Neurological injuries such as stroke often differentially impair hand motor and
somatosensory function, as well as the interplay between the two, which leads to limitations …

Background Falls are a common and serious public health issue among older adults,
contributing to the loss of independence, psychological distress, and incapability to engage …

Background Multiple sclerosis (MS) causes pervasive motor, sensory and cognitive
dysfunction. The Expanded Disability Status Scale (EDSS) is the gold standard for …

Background Multiple sclerosis often leads to proprioceptive impairments of the hand.
However, it is challenging to objectively assess such deficits using clinical methods, thereby …

Introduction: Proprioceptive impairment is a common symptom after stroke. Clarifying how
proprioception correlates with motor function after stroke may be helpful in optimizing …

This paper presents the kinematic design and development of a two degree-of-freedom
(2DOF) spherical 5-bar thumb exoskeleton to augment the finger individuating grasp …