Strokes

Effects of robot-assisted trunk control training on trunk control ability and balance in patients with stroke: A randomized controlled trial.

BACKGROUND: Trunk control ability is an important component of functional independence after the onset of stroke. Recently, it has been reported that robot-assisted functional training is effective for stroke patients. However, most studies on robot-assisted training have been conducted on upper and lower extremities.

Effect of gait rehabilitation with a footpad-type locomotion interface on gait ability in subacute stroke patients.

BACKGROUND: Gait rehabilitation using a footpad-type locomotion interface has been reported as effective in improving gait ability in chronic stroke patients. However, the effect on subacute stroke patients is unknown.

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation and degradation of mRNA and have been associated wit...

Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more prone to severe SARS-CoV-2 infections. It is known ...

Design and Simulation of a Soft Robotic Device for Muscle Rehabilitation and Blood Flow Stimulation Therapy.

Previous works have shown the efficacy of mechanical stimulation by applying pressure and vibration on muscle rehabilitation. Additionally, a temperat...

Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.

Speech language pathologists need an accurate assessment of the severity of people with aphasia (PWA) to design and provide the best course of therapy...

Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks.

Fundus Retinal imaging is an easy-to-acquire modality typically used for monitoring eye health. Current evidence indicates that the retina, and its va...

Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images.

Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mortality and disability annually. Early diagnosis of ...

Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients.

OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) prevention. It is not known whether electronic health...

Robotics, imaging, and artificial intelligence in the catheterisation laboratory.

The catheterisation laboratory today combines diagnosis and therapeutics, through various imaging modalities and a prolific list of interventional too...

A Bayesian optimization approach for rapidly mapping residual network function in stroke.

Post-stroke cognitive and linguistic impairments are debilitating conditions, with limited therapeutic options. Domain-general brain networks play an ...

The structural connectome and motor recovery after stroke: predicting natural recovery.

Stroke patients vary considerably in terms of outcomes: some patients present 'natural' recovery proportional to their initial impairment (fitters), w...

Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.

Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stroke treatment and secondary prevention. The use of ...

A data-driven approach to post-stroke aphasia classification and lesion-based prediction.

Aphasia is an acquired impairment in the production or comprehension of language, typically caused by left hemisphere stroke. The subtyping framework ...

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management.

There has been an exponential growth of artificial intelligence (AI) and machine learning (ML) publications aimed at advancing our understanding of at...

Dual high-stroke and high-work capacity artificial muscles inspired by DNA supercoiling.

Powering miniature robots using actuating materials that mimic skeletal muscle is attractive because conventional mechanical drive systems cannot be r...

Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hyper...

Clinical Uses of a Robot (Hybrid-Assisted Limb or HAL™) in Patients with Post-stroke Spasticity after Botulinum Toxin Injections.

Spasticity is the major cause of disabilities in stroke-survivors. Botulinum neurotoxin (BoNT) injections have been used to reduce the muscle tone in ...

Combined transcranial Direct Current Stimulation and robot-assisted arm training in patients with stroke: a systematic review.

BACKGROUND: Upper limb motor deficits in patients with severe stroke often remain unresolved over time. Combining transcranial Direct Current Stimulat...

The Role of Chronic Renal Disease on the Linking Obesity/Hypertension.

Obesity is accompanied by several disorders. This study investigated the role of chronic renal disease on the linking obesity/hypertension (HTN). It a...