AIMC Topic: Stroke

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The Metabolic Cost of Exercising With a Robotic Exoskeleton: A Comparison of Healthy and Neurologically Impaired People.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2021
While neuro-recovery is maximized through active engagement, it has been suggested that the use of robotic exoskeletons in neuro-rehabilitation provides passive therapy. Using oxygen consumption (VO) as an indicator of energy expenditure, we investig...
Humans Robotics Exoskeleton Device Oxygen Consumption Stroke Exercise Therapy
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Response by Olivé Gadea and Ribo to Letter Regarding Article, "Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography".

Stroke Jan 25, 2021
Stroke Olea Software Tomography, X-Ray Computed Deep Learning Humans
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Letter by Amukotuwa and Dehkharghani Regarding Article, "Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography".

Stroke Jan 25, 2021
Software Tomography, X-Ray Computed Deep Learning Stroke Humans
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Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study.

Journal of neuroengineering and rehabilitation Jan 21, 2021
BACKGROUND: Robotic rehabilitation after stroke provides the potential to increase and carefully control dosage of therapy. Only a small number of studies, however, have examined robotic therapy in the first few weeks post-stroke. In this study we de...
Pilot Projects Treatment Outcome Robotics Aged Male Middle Aged Stroke Rehabilitation Stroke Exoskeleton Device Upper Extremity Humans Female
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Behavioral and neurophysiological effects of an intensified robot-assisted therapy in subacute stroke: a case control study.

Journal of neuroengineering and rehabilitation Jan 11, 2021
BACKGROUND: Physical training is able to induce changes at neurophysiological and behavioral level associated with performance changes for the trained movements. The current study explores the effects of an additional intense robot-assisted upper ext...
Humans Retrospective Studies Female Stroke Exoskeleton Device Upper Extremity Aged Case-Control Studies Male Recovery of Function Stroke Rehabilitation Middle Aged Robotics Evoked Potentials, Motor
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Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.

The international journal of cardiovascular imaging Jan 9, 2021
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, error-prone, and time-consuming. The purpose of this study is to develop and design an automated carotid plaque characterization and classification sy...
Cardiovascular Diseases Humans Risk Assessment Artificial Intelligence Deep Learning Carotid Arteries Carotid Artery, Internal Female Ultrasonography Carotid Stenosis Plaque, Atherosclerotic Aged Predictive Value of Tests Male Stroke
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Evaluation of Artificial Intelligence-Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center.

AJNR. American journal of neuroradiology Dec 31, 2020
BACKGROUND AND PURPOSE: Artificial intelligence algorithms have the potential to become an important diagnostic tool to optimize stroke workflow. Viz LVO is a medical product leveraging a convolutional neural network designed to detect large-vessel o...
Predictive Value of Tests Stroke Cerebrovascular Disorders Male Humans Middle Aged Retrospective Studies Neural Networks, Computer Mobile Applications Image Interpretation, Computer-Assisted Female Computed Tomography Angiography Aged
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Emerging Artificial Intelligence Imaging Applications for Stroke Interventions.

AJNR. American journal of neuroradiology Dec 31, 2020
Artificial Intelligence Diagnostic Imaging Stroke Humans
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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Severity of Illness Index Functional Neuroimaging Support Vector Machine Chronic Disease Humans Diffusion Tensor Imaging Adult Stroke Magnetic Resonance Imaging Language Tests Female Outcome Assessment, Health Care Male Multimodal Imaging Aged Aphasia Neuroimaging Middle Aged Aged, 80 and over Cerebrovascular Circulation
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Impact of the reperfusion status for predicting the final stroke infarct using deep learning.

NeuroImage. Clinical Dec 25, 2020
BACKGROUND: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion status into deep learning models would improve their performance, and...
Infarction Brain Ischemia Humans Reperfusion Deep Learning Diffusion Magnetic Resonance Imaging Stroke
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