AIMC Topic: Neurological Rehabilitation
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Using robots to advance clinical translation in neurorehabilitation.
Science robotics
Mar 30, 2022
A preclinical robotic platform aids rehabilitation, therapy development, and assessment of recovery for upper limb impairments.
Hiding Assistive Robots During Training in Immersive VR Does Not Affect Users' Motivation, Presence, Embodiment, Performance, Nor Visual Attention.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 23, 2022
Combining immersive virtual reality (VR) using head-mounted displays (HMDs) with assisting robotic devices might be a promising procedure to enhance neurorehabilitation. However, it is still an open question how immersive virtual environments (VE) sh...
Brain Network Organization Following Post-Stroke Neurorehabilitation.
International journal of neural systems
Feb 9, 2022
Brain network analysis can offer useful information to guide the rehabilitation of post-stroke patients. We applied functional network connection models based on multiplex-multilayer network analysis (MMN) to explore functional network connectivity c...
Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders.
Journal of neuroengineering and rehabilitation
Dec 18, 2021
INTRODUCTION: Conflicting results persist regarding the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in post-stroke survivors. We used several machine learning algorithms to construct prediction models for the f...
Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases.
Contrast media & molecular imaging
Oct 25, 2021
To explore the impact of magnetic resonance imaging (MRI) image features based on deep learning algorithms on the neurological rehabilitation of patients with cerebrovascular diseases, eighty patients with acute cerebrovascular disease were selected ...
Neglected physical human-robot interaction may explain variable outcomes in gait neurorehabilitation research.
Science robotics
Sep 22, 2021
During gait neurorehabilitation, many factors influence the quality of gait patterns, particularly the chosen body-weight support (BWS) device. Consequently, robotic BWS devices play a key role in gait rehabilitation of people with neurological disor...
Skilled reach training enhances robotic gait training to restore overground locomotion following spinal cord injury in rats.
Behavioural brain research
Aug 3, 2021
Rehabilitative training has been shown to improve motor function following spinal cord injury (SCI). Unfortunately, these gains are primarily task specific; where reach training only improves reaching, step training only improves stepping and stand t...
Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.
BioMed research international
Jun 18, 2021
With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strateg...
Customizing Robot-Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism.
BioMed research international
May 31, 2021
Passive movement is an important mean of rehabilitation for stroke survivors in the early stage or with greater paralysis. The upper extremity robot is required to assist therapists with passive movement during clinical rehabilitation, while customiz...
State of the art and challenges for the classification of studies on electromechanical and robotic devices in neurorehabilitation: a scoping review.
European journal of physical and rehabilitation medicine
May 27, 2021
INTRODUCTION: The rapid development of electromechanical and robotic devices has profoundly influenced neurorehabilitation. Growth in the scientific and technological aspects thereof is crucial for increasing the number of newly developed devices, an...
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