AIMC Topic: Stroke

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Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review.

Biomedical engineering online Sep 5, 2023
BACKGROUND: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. It is a promising tool combined with conventional therapy for low ambulatory patients. The heavy weight and bulky appearance of a robotic exoskeleton ...
Stroke Rehabilitation Stroke Gait Databases, Factual Robotics Humans
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Effects of a soft robotic exosuit on the quality and speed of overground walking depends on walking ability after stroke.

Journal of neuroengineering and rehabilitation Sep 1, 2023
BACKGROUND: Soft robotic exosuits can provide partial dorsiflexor and plantarflexor support in parallel with paretic muscles to improve poststroke walking capacity. Previous results indicate that baseline walking ability may impact a user's ability t...
Humans Stroke Walking Gait Lower Extremity Robotics
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Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images.

Scientific reports Aug 16, 2023
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in mice. A challenge is that lesion segmentation often relies on manual tracing by trained experts, which is labor-intensive, time-consuming, and prone to inter- and...
Animals Deep Learning Pregnancy Female Humans Mice Stroke Magnetic Resonance Imaging Labor, Obstetric Ischemic Stroke
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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke.

Nature communications Aug 15, 2023
Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic processes. Here, we developed an artificial n...
Ischemic Stroke Stroke Angiography Computed Tomography Angiography Retrospective Studies Humans Deep Learning Prospective Studies
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Impairments of the ipsilesional upper-extremity in the first 6-months post-stroke.

Journal of neuroengineering and rehabilitation Aug 14, 2023
BACKGROUND: Ipsilesional motor impairments of the arm are common after stroke. Previous studies have suggested that severity of contralesional arm impairment and/or hemisphere of lesion may predict the severity of ipsilesional arm impairments. Histor...
Upper Extremity Stroke Humans Exoskeleton Device Robotics Stroke Rehabilitation
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Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet.

NeuroImage Aug 11, 2023
Accurate stroke assessment and consequent favorable clinical outcomes rely on the early identification and quantification of aneurysmal subarachnoid hemorrhage (aSAH) in non-contrast computed tomography (NCCT) images. However, hemorrhagic lesions can...
Subarachnoid Hemorrhage Contrast Media Stroke Tomography, X-Ray Computed Deep Learning Humans
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The efficacy of hybrid neuroprostheses in the rehabilitation of upper limb impairment after stroke, a narrative and systematic review with a meta-analysis.

Artificial organs Aug 7, 2023
BACKGROUND: Paresis of the upper limb (UL) is the most frequent impairment after a stroke. Hybrid neuroprostheses, i.e., the combination of robots and electrical stimulation, have emerged as an option to treat these impairments.
Humans Stroke Rehabilitation Neural Prostheses Recovery of Function Stroke Robotics Upper Extremity
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Comment on: Efficacy of Robot-Assisted Training on Rehabilitation of Upper Limb Function in Patients With Stroke: A Systematic Review and Meta-analysis.

Archives of physical medicine and rehabilitation Aug 6, 2023
Humans Recovery of Function Upper Extremity Stroke Rehabilitation Robotics Stroke
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An Intelligent Rehabilitation Assessment Method for Stroke Patients Based on Lower Limb Exoskeleton Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 2, 2023
The 6-min walk distance (6MWD) and the Fugl-Meyer assessment lower-limb subscale (FMA-LE) of the stroke patients provide the critical evaluation standards for the effect of training and guidance of the training programs. However, gait assessment for ...
Robotics Gait Stroke Humans Exoskeleton Device Stroke Rehabilitation Lower Extremity
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An appraisal of the performance of AI tools for chronic stroke lesion segmentation.

Computers in biology and medicine Aug 1, 2023
Automated demarcation of stoke lesions from monospectral magnetic resonance imaging scans is extremely useful for diverse research and clinical applications, including lesion-symptom mapping to explain deficits and predict recovery. There is a signif...
Stroke Uncertainty Neural Networks, Computer Artificial Intelligence Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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