AIMC Topic: Stroke

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Robot Assisted Ankle Neuro-Rehabilitation: State of the art and Future Challenges.

Expert review of neurotherapeutics Nov 16, 2020
: Robot-assisted neuro-rehabilitation is gaining acceptability among the physical therapy community. The ankle is one of the most complicated anatomical joints in the human body and neurologic injuries such as stroke often result in ankle and foot di...
Ankle Joint Ankle Physical Therapy Modalities Stroke Rehabilitation Humans Robotics Stroke
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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

The international journal of cardiovascular imaging Nov 12, 2020
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the "m...
Cross-Sectional Studies Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Pilot Projects Ultrasonography Support Vector Machine Prognosis Female Reproducibility of Results Humans Machine Learning Decision Support Techniques Heart Disease Risk Factors Predictive Value of Tests Aged Plaque, Atherosclerotic Coronary Angiography Carotid Stenosis Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Stroke
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Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis.

Scientific reports Nov 11, 2020
Mood disorders (e.g. depression, apathy, and anxiety) are often observed in stroke patients, exhibiting a negative impact on functional recovery associated with various physical disorders and cognitive dysfunction. Consequently, post-stroke symptoms ...
Movement Stroke Rehabilitation Cognition Stroke Humans Mood Disorders Neural Networks, Computer Machine Learning Female Aged Male Middle Aged ROC Curve
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Breaking the ice to improve motor outcomes in patients with chronic stroke: a retrospective clinical study on neuromodulation plus robotics.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Nov 6, 2020
BACKGROUND: Stroke is one of the main causes of impairment affecting daily activities and quality of life. There is a growing effort to potentiate the recovery of functional gait and to enable stroke patients to walk independently.
Quality of Life Robotics Stroke Gait Humans Retrospective Studies Exercise Therapy Stroke Rehabilitation Transcranial Direct Current Stimulation Gait Disorders, Neurologic
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Multimodal magnetic resonance imaging correlates of motor outcome after stroke using machine learning.

Neuroscience letters Nov 6, 2020
This study applied machine learning regression to predict motor function after stroke based on multimodal magnetic resonance imaging. Fifty-four stroke patients, who underwent T1 weighted, diffusion tensor, and resting state functional magnetic reson...
Multimodal Imaging Stroke Brain Retrospective Studies Female Aged Male Middle Aged Magnetic Resonance Imaging Brain Mapping Humans Machine Learning
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Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.

Neurorehabilitation and neural repair Nov 5, 2020
BACKGROUND: Wrist-worn accelerometry provides objective monitoring of upper-extremity functional use, such as reaching tasks, but also detects nonfunctional movements, leading to ambiguity in monitoring results.
Humans Machine Learning Female Aged Stroke Accelerometry Upper Extremity Stroke Rehabilitation Adult Male Middle Aged
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Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network.

Physics in medicine and biology Nov 5, 2020
Stroke lesion volume is a key radiologic measurement in assessing prognosis of acute ischemic stroke (AIS) patients. The aim of this paper is to develop an automated segmentation method for accurately segmenting follow-up ischemic and hemorrhagic les...
Humans Female Neural Networks, Computer Male Tomography, X-Ray Computed Image Processing, Computer-Assisted Stroke
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Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level.

Journal of the American Heart Association Nov 3, 2020
Background Stroke is a major cardiovascular disease that causes significant health and economic burden in the United States. Neighborhood community-based interventions have been shown to be both effective and cost-effective in preventing cardiovascul...
Socioeconomic Factors Residence Characteristics Age Factors Stroke Middle Aged Exercise Prevalence United States Health Behavior Humans Aged Machine Learning Young Adult Female Adult Risk Factors Male
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Wearable hip-assist robot modulates cortical activation during gait in stroke patients: a functional near-infrared spectroscopy study.

Journal of neuroengineering and rehabilitation Oct 29, 2020
BACKGROUND: Gait dysfunction is common in post-stroke patients as a result of impairment in cerebral gait mechanism. Powered robotic exoskeletons are promising tools to maximize neural recovery by delivering repetitive walking practice.
Gait Hip Gait Disorders, Neurologic Male Humans Middle Aged Exoskeleton Device Brain Robotics Stroke Rehabilitation Female Stroke
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Incorporating Artificial Intelligence Into Stroke Care and Research.

Stroke Oct 27, 2020
Risk Assessment Deep Learning User-Computer Interface Stroke Prognosis Clinical Decision-Making Humans Biomedical Research Neural Networks, Computer Neuroimaging Artificial Intelligence
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