Gait, coordination, and balance may be severely compromised in patients with multiple sclerosis (MS), with considerable consequences on the patient's daily living activities, psychological status and quality of life. For this reason, MS patients may ...
American journal of physical medicine & rehabilitation
Jun 1, 2017
OBJECTIVE: The objectives of this study were to evaluate the performance of commercially available assistive robotic manipulators (ARMs) user interfaces and to investigate the concurrent validity and sensitivity to change with task-oriented performan...
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progressive multiple sclerosis (MS). Robot-assisted gait training (RAGT) is an effective rehabilitative treatment but evidence of its superiority compared to ...
American journal of physical medicine & rehabilitation
Jan 1, 2017
OBJECTIVE: The aim of this study was to understand the impact of training with a hand robotic device on hand paresis and function in a population of children with hemiparesis.
European journal of physical and rehabilitation medicine
Dec 1, 2016
BACKGROUND: A prompt and effective physical and rehabilitation medicine approach is essential to obtain recovery of an impaired limb to prevent tendon shortening, spasticity and pain. Robot-assisted virtual reality intervention has been shown to be m...
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Mar 1, 2016
Robot gait training has the potential to increase the effectiveness of walking therapy. Clinical outcomes after robotic training are often not superior to conventional therapy. We evaluated the effectiveness of a robot training compared with a usual ...
Journal of hand therapy : official journal of the American Society of Hand Therapists
Jan 1, 2016
BACKGROUND: Evidence of superiority of robot training for the hand over classical therapies in stroke patients remains controversial. During the subacute stage, hand training is likely to be the most useful.
Cerebral cortex (New York, N.Y. : 1991)
Sep 1, 2015
Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms represent a multivariate decoding approach that may help to identify neuroimaging patterns associate...