AIMC Topic: Stroke

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Another Paradigm Shift? The Impact of Robotics in Stroke Intervention.

World neurosurgery Feb 8, 2023
Robotics Stroke Stroke Rehabilitation Humans
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The effect of robot-assisted gait training frequency on walking, functional recovery, and quality of life in patients with stroke.

Acta neurologica Belgica Jan 30, 2023
AIM: This study aims to investigate the effects of robot-assisted gait training (RAGT) frequency on walking, functional recovery, QoL and mood.
Robotics Stroke Gait Exercise Therapy Walking Retrospective Studies Quality of Life Humans Stroke Rehabilitation Gait Disorders, Neurologic
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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...
Upper Extremity Humans Deep Learning Stroke Rehabilitation Proprioception Stroke
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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.
Exercise Therapy Stroke Rehabilitation Walking Gait Robotics Stroke Humans Aged
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Deep learning-based personalised outcome prediction after acute ischaemic stroke.

Journal of neurology, neurosurgery, and psychiatry Jan 17, 2023
BACKGROUND: Whether deep learning models using clinical data and brain imaging can predict the long-term risk of major adverse cerebro/cardiovascular events (MACE) after acute ischaemic stroke (AIS) at the individual level has not yet been studied.
Deep Learning Ischemic Stroke Stroke Humans Prognosis Brain Ischemia
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Deep learning for collateral evaluation in ischemic stroke with imbalanced data.

International journal of computer assisted radiology and surgery Jan 12, 2023
PURPOSE: Collateral evaluation is typically done using visual inspection of cerebral images and thus suffers from intra- and inter-rater variability. Large open databases of ischemic stroke patients are rare, limiting the use of deep learning methods...
Stroke Brain Ischemia Cerebral Angiography Four-Dimensional Computed Tomography Computed Tomography Angiography Retrospective Studies Deep Learning Ischemic Stroke Humans
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Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data.

Sensors (Basel, Switzerland) Jan 12, 2023
Fall risk assessment needs contemporary approaches based on habitual data. Currently, inertial measurement unit (IMU)-based wearables are used to inform free-living spatio-temporal gait characteristics to inform mobility assessment. Typically, a fluc...
Gait Somatoform Disorders Reflex, Startle Accidental Falls Stroke Artificial Intelligence Risk Assessment Humans
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Head CT deep learning model is highly accurate for early infarct estimation.

Scientific reports Jan 5, 2023
Non-contrast head CT (NCCT) is extremely insensitive for early (< 3-6 h) acute infarct identification. We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NC...
Deep Learning Magnetic Resonance Imaging Stroke Humans Tomography, X-Ray Computed Infarction, Middle Cerebral Artery
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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.
Robotics Treatment Outcome Upper Extremity Hand Stroke Humans Recovery of Function Prospective Studies Stroke Rehabilitation
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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...
Stroke Rehabilitation Virtual Reality Robotics Recovery of Function Randomized Controlled Trials as Topic Humans Stroke Treatment Outcome Upper Extremity China Lower Extremity
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