AIMC Topic: Stroke
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[Early mobilization in the intensive care unit-Are robot-assisted systems the future?].
Die Anaesthesiologie
Jun 15, 2022
BACKGROUND: Intensive care unit (ICU) acquired weakness is associated with reduced physical function, increased mortality and reduced quality of life, and affects about 43% of survivors of critical illness. Lacking therapeutic options, the prevention...
Value of 4D CT Angiography Combined with Whole Brain CT Perfusion Imaging Feature Analysis under Deep Learning in Imaging Examination of Acute Ischemic Stroke.
Computational intelligence and neuroscience
Jun 13, 2022
This study was aimed at investigating the application of deep learning 4D computed tomography angiography (CTA) combined with whole brain CT perfusion (CTP) imaging in acute ischemic stroke (AIS). A total of 46 patients with ischemic stroke were sele...
Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review.
Journal of neuroengineering and rehabilitation
Jun 3, 2022
BACKGROUND: Stroke related motor function deficits affect patients' likelihood of returning to professional activities, limit their participation in society and functionality in daily living. Hence, robot-aided gait rehabilitation needs to be fruitfu...
Soft robotic exosuit augmented high intensity gait training on stroke survivors: a pilot study.
Journal of neuroengineering and rehabilitation
Jun 3, 2022
BACKGROUND: Stroke is a leading cause of serious gait impairments and restoring walking ability is a major goal of physical therapy interventions. Soft robotic exosuits are portable, lightweight, and unobtrusive assistive devices designed to improve ...
Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 30, 2022
Stroke can be a devastating condition that impairs the upper limb and reduces mobility. Wearable robots can aid impaired users by supporting performance of Activities of Daily Living (ADLs). In the past decade, soft devices have become popular due to...
Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study.
BMC neurology
May 27, 2022
BACKGROUNDS: We aimed to develop and validate machine learning (ML) models for 30-day stroke mortality for mortality risk stratification and as benchmarking models for quality improvement in stroke care.
Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke.
International journal of computer assisted radiology and surgery
May 23, 2022
PURPOSE: Recently, a large number of patients with acute ischemic stroke benefited from the use of thrombectomy, a minimally invasive intervention technique for mechanically removing thrombi from the cerebrovasculature. During thrombectomy, 2D digita...
A Deep Learning-Based Automatic Collateral Assessment in Patients with Acute Ischemic Stroke.
Translational stroke research
May 21, 2022
This study aimed to develop a supervised deep learning (DL) model for grading collateral status from dynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) images from patients with large vessel occlusion (LVO) acute ischemic stroke (...
Impairments in Cognitive Control Using a Reverse Visually Guided Reaching Task Following Stroke.
Neurorehabilitation and neural repair
May 16, 2022
BACKGROUND: Cognitive and motor function must work together quickly and seamlessly to allow us to interact with a complex world, but their integration is difficult to assess directly. Interactive technology provides opportunities to assess motor acti...
Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation.
Sensors (Basel, Switzerland)
May 14, 2022
Upper limb dysfunctions (ULD) are common following a stroke. Annually, more than 15 million people suffer a stroke worldwide. We have developed a 7 degrees of freedom (DoF) exoskeleton robot named the smart robotic exoskeleton () to provide upper lim...
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