AIMC Topic: Stroke
Clear Filters Showing 751 to 760 of 1168 articles
Characterization of clot composition in acute cerebral infarct using machine learning techniques.
Annals of clinical and translational neurology
Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
Scoring upper-extremity motor function from EEG with artificial neural networks: a preliminary study.
Journal of neural engineering
Feb 28, 2019
OBJECTIVE: Motor function of chronic stroke survivors is generally accessed using clinical motor assessments. These motor assessments are partially subjective and require prior training for the examiners. Additionally, those motor function assessment...
A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.
IEEE transactions on medical imaging
Feb 25, 2019
Current clinical practice relies on clinical history to determine the time since stroke (TSS) onset. Imaging-based determination of acute stroke onset time could provide critical information to clinicians in deciding stroke treatment options, such as...
Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study.
BioMed research international
Feb 20, 2019
During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usually leads the subject becoming bored or frustrated; therefore, the difficulty of the training task has an important influence on the effectiveness of...
Using machine learning to optimize selection of elderly patients for endovascular thrombectomy.
Journal of neurointerventional surgery
Feb 2, 2019
BACKGROUND: Endovascular thrombectomy (ET) is the standard of care for treatment of acute ischemic stroke (AIS) secondary to large vessel occlusion. The elderly population has been under-represented in clinical trials on ET, and recent studies have r...
A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.
Neurorehabilitation and neural repair
Dec 29, 2018
BACKGROUND: Passive robot-generated arm movements in conjunction with proprioceptive decision making and feedback modulate functional connectivity (FC) in sensory motor networks and improve sensorimotor adaptation in normal individuals. This proof-of...
Constipation and risk of death and cardiovascular events.
Atherosclerosis
Dec 23, 2018
BACKGROUND AND AIMS: Constipation is one of the most frequent symptoms encountered in daily clinical practice and is implicated in the development of atherosclerosis, potentially through altered gut microbiota. However, little is known about its asso...
HIV is associated with endothelial activation despite ART, in a sub-Saharan African setting.
Neurology(R) neuroimmunology & neuroinflammation
Dec 21, 2018
OBJECTIVE: To study the relationship between endothelial dysfunction, HIV infection, and stroke in Malawians.
Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.
AJNR. American journal of neuroradiology
Dec 20, 2018
BACKGROUND AND PURPOSE: Thrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radio...
An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.
Human brain mapping
Dec 13, 2018
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regress...
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