AIMC Topic: Stroke Rehabilitation
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The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke.
Journal of neuroengineering and rehabilitation
Jan 27, 2023
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 define the presence or absence of impairment in individuals using k...
Effect of cyborg-type robot Hybrid Assistive Limb on patients with severe walking disability in acute stroke: A randomized controlled study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jan 24, 2023
OBJECTIVES: To investigate whether early gait training using Hybrid Assistive Limb (HAL) is feasible and improves walking and independency compared with conventional physical therapy (CPT) in patients with severe walking disability after stroke.
Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke.
International journal of environmental research and public health
Dec 30, 2022
BACKGROUND: Early identification of hand-prognosis-factors at patient's admission could help to select optimal synergistic rehabilitation programs based on conventional (COHT) or robot-assisted (RAT) therapies.
Combined robot motor assistance with neural circuit-based virtual reality (NeuCir-VR) lower extremity rehabilitation training in patients after stroke: a study protocol for a single-centre randomised controlled trial.
BMJ open
Dec 23, 2022
INTRODUCTION: Improving lower extremity motor function is the focus and difficulty of post-stroke rehabilitation treatment. More recently, robot-assisted and virtual reality (VR) training are commonly used in post-stroke rehabilitation and are consid...
Immersive Virtual Reality during Robot-Assisted Gait Training: Validation of a New Device in Stroke Rehabilitation.
Medicina (Kaunas, Lithuania)
Dec 7, 2022
Background and objective: Duration of rehabilitation and active participation are crucial for gait rehabilitation in the early stage after stroke onset. Virtual reality (VR) is an innovative tool providing engaging and playful environments that could...
A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings.
IEEE journal of biomedical and health informatics
Dec 7, 2022
Since the underlying mechanisms of neurorehabilitation are not fully understood, the prognosis of stroke recovery faces significant difficulties. Recovery outcomes can vary when undergoing different treatments; however, few models have been developed...
Neurotechnology's Prospects for Bringing About Meaningful Reductions in Neurological Impairment.
Neurorehabilitation and neural repair
Nov 16, 2022
Here we report and comment on the magnitudes of post-stroke impairment reduction currently observed using new neurotechnologies. We argue that neurotechnology's best use case is impairment reduction as this is neither the primary strength nor main go...
Reversing the Ruin: Rehabilitation, Recovery, and Restoration After Stroke.
Current neurology and neuroscience reports
Oct 1, 2022
PURPOSE OF REVIEW: Stroke is a common cause of disability in aging adults. A given individual's needs after stroke vary as a function of the stroke extent and location. The purpose of this review was to discuss recent clinical investigations addressi...
Revisiting dose and intensity of training: Opportunities to enhance recovery following stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 23, 2022
PURPOSE: Stroke is a global leading cause of adult disability with survivors often enduring persistent impairments and loss of function. Both intensity and dosage of training appear to be important factors to help restore behavior. However, current p...
Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.
Sensors (Basel, Switzerland)
Sep 22, 2022
This review aims to recommend directions for future research on robotic biofeedback towards prompt post-stroke gait rehabilitation by investigating the technical and clinical specifications of biofeedback systems (BSs), including the complementary us...
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