AIMC Topic: Stroke

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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 ...
Biomechanical Phenomena Male Middle Aged Machine Learning Retrospective Studies Female Gait Disorders, Neurologic Foot Orthoses Stroke Range of Motion, Articular Ankle Humans
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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...
Thrombolytic Therapy Radiographic Image Interpretation, Computer-Assisted Stroke Patient Selection Thrombectomy Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Aged Aged, 80 and over Male Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Female Clinical Decision-Making Reproducibility of Results
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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...
Humans Quality of Life Upper Extremity Stroke Rehabilitation Stroke Activities of Daily Living Spinal Cord Injuries Recovery of Function Robotics Robotic Surgical Procedures
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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...
Stroke Humans Feasibility Studies Male Upper Extremity Middle Aged Virtual Reality Aged Recovery of Function Adult Robotics Electric Stimulation Therapy Stroke Rehabilitation
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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.
Robotics Stroke Outcome Assessment, Health Care Stroke Rehabilitation Humans
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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...
Reperfusion Diffusion Magnetic Resonance Imaging Humans Deep Learning Female Aged Stroke Brain Ischemia Male Middle Aged
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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...
Peroneal Neuropathies Ankle Injuries Ankle Physical Therapy Modalities Humans Equipment Design Technology Rotation Biomechanical Phenomena Stroke Ankle Joint Robotics
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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...
Humans Machine Learning Stroke Biomechanical Phenomena Upper Extremity Recovery of Function Stroke Rehabilitation Robotics
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Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.

Sensors (Basel, Switzerland) Mar 16, 2021
Recent advances in the field of neural rehabilitation, facilitated through technological innovation and improved neurophysiological knowledge of impaired motor control, have opened up new research directions. Such advances increase the relevance of e...
Stroke Rehabilitation Electromyography Stroke Humans Spinal Cord Injuries Artificial Intelligence Robotics
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Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.

Journal of medical Internet research Mar 8, 2021
BACKGROUND: Stroke is an important clinical outcome in cardiovascular research. However, the ascertainment of incident stroke is typically accomplished via time-consuming manual chart abstraction. Current phenotyping efforts using electronic health r...
Algorithms Electronic Health Records Natural Language Processing Stroke Humans Machine Learning
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