AIMC Topic: Stroke

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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...
Gait Stroke Rehabilitation Humans Robotics Stroke Lower Extremity
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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 ...
Humans Pilot Projects Gait Robotics Exercise Therapy Stroke Survivors
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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...
Electromyography Stroke Muscle, Skeletal Activities of Daily Living Robotics Humans Feasibility Studies Upper Extremity Wearable Electronic Devices
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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.
Cohort Studies Stroke Humans Logistic Models Registries Machine Learning
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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...
Thrombosis Brain Ischemia Thrombectomy Angiography, Digital Subtraction Ischemic Stroke Stroke Retrospective Studies Deep Learning Humans
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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 (...
Magnetic Resonance Imaging Ischemic Stroke Retrospective Studies Deep Learning Brain Ischemia Collateral Circulation Stroke Cerebral Infarction Humans
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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...
Humans Stroke Rehabilitation Stroke Upper Extremity Cognition Robotics
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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...
Exoskeleton Device Humans Stroke Adult Upper Extremity Robotics Motion
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Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions.

PloS one May 11, 2022
BACKGROUND: Generalized regression neural network (GRNN) and logistic regression (LR) are extensively used in the medical field; however, the better model for predicting stroke outcome has not been established. The primary goal of this study was to c...
Prognosis Retrospective Studies Humans Logistic Models Neural Networks, Computer Stroke
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Effects of Robot-Assisted Gait Training with Body Weight Support on Gait and Balance in Stroke Patients.

International journal of environmental research and public health May 10, 2022
This study investigated the effects of robot-assisted gait training with body weight support on gait and balance in stroke patients. The study participants comprised 24 patients diagnosed with stroke. Patients were randomly assigned to four groups of...
Humans Treatment Outcome Stroke Gait Robotics Body Weight Stroke Rehabilitation
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