AIMC Topic: Stroke
Clear Filters Showing 531 to 540 of 1164 articles
Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 22, 2021
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabilitation of stroke patients. An exoskeleton robot, named BEAR-H1, is designed to help stroke patients with walking disabilities.
Effects of a Soft Robotic Hand for Hand Rehabilitation in Chronic Stroke Survivors.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 22, 2021
OBJECTIVES: Soft robotic hands are proposed for stroke rehabilitation in terms of their high compliance and low inherent stiffness. We investigated the clinical efficacy of a soft robotic hand that could actively flex and extend the fingers in chroni...
Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke.
Scientific reports
Apr 19, 2021
We investigated the potential of machine learning techniques, at an early stage after stroke, to predict the need for ankle-foot orthosis (AFO) in stroke patients. We retrospectively recruited 474 consecutive stroke patients. The need for AFO during ...
Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 18, 2021
OBJECTIVES: The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a promising tool for the evaluation of stroke expansion to determine suitability for reperfusion therapy. The aim of this study was to validate deep learning-based AS...
Predictive Value of Tests
Thrombolytic Therapy
Radiographic Image Interpretation, Computer-Assisted
Stroke
Aged, 80 and over
Male
Deep Learning
Imaging, Three-Dimensional
Patient Selection
Thrombectomy
Humans
Prognosis
Retrospective Studies
Tomography, X-Ray Computed
Clinical Decision-Making
Female
Reproducibility of Results
Aged
Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review.
Disability and rehabilitation. Assistive technology
Apr 16, 2021
PURPOSE: Stroke, spinal cord injury and other neuromuscular disorders lead to impairments in the human body. Upper limb impairments, especially hand impairments affect activities of daily living (ADL) and reduce the quality of life. The purpose of th...
Feasibility and preliminary efficacy of a combined virtual reality, robotics and electrical stimulation intervention in upper extremity stroke rehabilitation.
Journal of neuroengineering and rehabilitation
Apr 14, 2021
BACKGROUND: Approximately 80% of individuals with chronic stroke present with long lasting upper extremity (UE) impairments. We designed the perSonalized UPper Extremity Rehabilitation (SUPER) intervention, which combines robotics, virtual reality ac...
Effects of robot-assisted training on balance function in patients with stroke: A systematic review and meta-analysis.
Journal of rehabilitation medicine
Apr 1, 2021
OBJECTIVE: To investigate the effectiveness of robot-assisted therapy on balance function in stroke survivors.
Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke.
AJNR. American journal of neuroradiology
Mar 25, 2021
BACKGROUND AND PURPOSE: In acute stroke patients with large vessel occlusions, it would be helpful to be able to predict the difference in the size and location of the final infarct based on the outcome of reperfusion therapy. Our aim was to demonstr...
State of the art in parallel ankle rehabilitation robot: a systematic review.
Journal of neuroengineering and rehabilitation
Mar 20, 2021
BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible to musculoskeletal and neurological injuries, especially neurological injuries such as drop foot foll...
Evaluating Rehabilitation Progress Using Motion Features Identified by Machine Learning.
IEEE transactions on bio-medical engineering
Mar 18, 2021
Evaluating progress throughout a patient's rehabilitation episode is critical for determining the effectiveness of the selected treatments and is an essential ingredient in personalised and evidence-based rehabilitation practice. The evaluation proce...
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