Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 4, 2020
We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device-mediated hand exercises to recover ...
Journal of neuroengineering and rehabilitation
Aug 24, 2020
BACKGROUND: Hand function is often impaired after stroke, strongly affecting the ability to perform daily activities. Upper limb robotic devices have been developed to complement rehabilitation therapy offered to persons who suffered a stroke, but th...
Disability and rehabilitation. Assistive technology
Aug 18, 2020
BACKGROUND: Robot assisted upper limb (UL) therapy has been identified as an intervention with the potential to help improve the amount of practice performed by stroke survivors.
The effects of caregiver burden during the inpatient rehabilitation period have not yet been investigated. The purpose of this study was to evaluate the burden on stroke survivors' caregivers during the inpatient rehabilitation period, and to compare...
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 5, 2020
PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb robot called Hybrid Assistive Limb (HAL) on the function and ability to perform ADL in stroke patients. In clinical settings, we frequently find it chall...
International journal of urology : official journal of the Japanese Urological Association
Jul 30, 2020
OBJECTIVES: To investigate whether a deep learning model from magnetic resonance imaging information is an accurate method to predict the risk of urinary incontinence after robot-assisted radical prostatectomy.
Journal of neuroengineering and rehabilitation
Jun 30, 2020
BACKGROUND: The aim of the present study was to to assess the relative effectiveness of the various types of electromechanical-assisted arm devices and approaches after stroke.
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