AIMC Topic: Stroke

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Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches.

Journal of neuroengineering and rehabilitation Sep 29, 2020
BACKGROUND: Accurate prediction of motor recovery after stroke is critical for treatment decisions and planning. Machine learning has been proposed to be a promising technique for outcome prediction because of its high accuracy and ability to process...
Humans Middle Aged Recovery of Function Machine Learning Quality of Life Prognosis Stroke ROC Curve Female Physical Therapy Modalities Aged Stroke Rehabilitation Male
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Recovery of Function Predictive Value of Tests Stroke Activities of Daily Living Stroke Rehabilitation Humans Mobility Limitation Female Machine Learning Clinical Decision Rules Risk Assessment Reproducibility of Results Databases, Factual Aged, 80 and over Treatment Outcome Risk Factors Male Inpatients Aged Middle Aged Decision Trees
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Artificial Intelligence and Stroke Imaging: A West Coast Perspective.

Neuroimaging clinics of North America Sep 18, 2020
Artificial intelligence (AI) advancements have significant implications for medical imaging. Stroke is the leading cause of disability and the fifth leading cause of death in the United States. AI applications for stroke imaging are a topic of intens...
Neuroimaging United States Humans Diagnostic Imaging Artificial Intelligence Stroke Brain Image Interpretation, Computer-Assisted
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Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.

Stroke Sep 18, 2020
BACKGROUND AND PURPOSE: Clinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility ...
Middle Aged Deep Learning Aged Logistic Models Aged, 80 and over Ischemic Stroke Electroencephalography Humans Sensitivity and Specificity Stroke Neural Networks, Computer Male Ischemic Attack, Transient Female Hemorrhagic Stroke
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Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study.

Journal of medical Internet research Sep 16, 2020
BACKGROUND: Subtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess th...
Stroke Neurologic Examination Biomechanical Phenomena Male Middle Aged Humans Machine Learning Algorithms Female Aged Aged, 80 and over Adult
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Novel lateral transfer assist robot decreases the difficulty of transfer in post-stroke hemiparesis patients: a pilot study.

Disability and rehabilitation. Assistive technology Sep 15, 2020
PURPOSE: The purpose of this study was to clarify whether the novel lateral transfer assist robot facilitates easier transfers compared with a wheelchair in post-stroke hemiparesis patients.
Humans Cross-Sectional Studies Stroke Paresis Stroke Rehabilitation Wheelchairs Quality of Life Pilot Projects Robotics Equipment Design
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Sensor Fusion in Assistive and Rehabilitation Robotics.

Sensors (Basel, Switzerland) Sep 14, 2020
As the world's population gradually grows older, more and more adults are experiencing sensory-motor disabilities due to stroke, traumatic brain injury, spinal cord injury and other diseases [...].
Robotics Stroke Spinal Cord Injuries Stroke Rehabilitation Humans Adult Brain Injuries, Traumatic
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Evaluation of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after Stroke trial: descriptive analysis of intervention fidelity, goal selection and goal achievement.

Clinical rehabilitation Sep 11, 2020
OBJECTIVE: To report the fidelity of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after stroke (RATULS) randomized controlled trial, the types of goals selected and the proportion of goals achieved.
Aged Adult Male Middle Aged Goals Humans Treatment Outcome Upper Extremity Female Robotics Physical Therapy Modalities Stroke Stroke Rehabilitation Motivation
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The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach.

International journal of environmental research and public health Sep 9, 2020
Motor disability is a key feature of many neurological diseases, influencing the social roles of affected patients and their ability to perform daily life activities. Current rehabilitation capacities are overwhelmed by the age-related increase of mo...
Motor Disorders Aged Male Persons with Disabilities Humans Robotics Female Stroke Nervous System Diseases Stroke Rehabilitation
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Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning.

Medical image analysis Sep 5, 2020
The triage of acute stroke patients is increasingly dependent on four-dimensional CTA (4D-CTA) imaging. In this work, we present a convolutional neural network (CNN) for image-level detection of intracranial anterior circulation artery occlusions in ...
Deep Learning Stroke Humans Neural Networks, Computer Sensitivity and Specificity
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