Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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Incidence of severe renal dysfunction among individuals taking warfarin and implications for non-vitamin K oral anticoagulants.

BACKGROUND: The purpose of this study is to assess incidence and risk factors for severe renal dysfu...

Vitamin D status, hypertension and body mass index in an urban black community in Mangaung, South Africa.

BACKGROUND: A strong relationship exists between hypertension and body weight. Research has linked b...

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the ch...

Re-Evaluation of Old Findings on Stroke Volume Responses to Exercise and Recovery by Nitrous-Oxide Rebreathin.

It is important to verify the old findings of Cumming (1972) and Goldberg and Shephard (1980) who sh...

Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions.

Noncoding RNAs (ncRNAs) are implicated in various biological processes. Recent findings have demonst...

Robot-assisted and conventional therapies produce distinct rehabilitative trends in stroke survivors.

BACKGROUND: Comparing the efficacy of alternative therapeutic strategies for the rehabilitation of m...

A robot-based behavioural task to quantify impairments in rapid motor decisions and actions after stroke.

BACKGROUND: Stroke can affect our ability to perform daily activities, although it can be difficult ...

Hybrid robotic systems for upper limb rehabilitation after stroke: A review.

In recent years the combined use of functional electrical stimulation (FES) and robotic devices, cal...

Test-retest reliability and four-week changes in cardiopulmonary fitness in stroke patients: evaluation using a robotics-assisted tilt table.

BACKGROUND: Exercise testing devices for evaluating cardiopulmonary fitness in patients with severe ...

Ability of electrical stimulation therapy to improve the effectiveness of robotic training for paretic upper limbs in patients with stroke.

We investigated whether untriggered neuromuscular electrical stimulation (NMES) can increase the eff...

Ten problems and solutions when predicting individual outcome from lesion site after stroke.

In this paper, we consider solutions to ten of the challenges faced when trying to predict an indivi...

Neural correlates of motor recovery after robot-assisted stroke rehabilitation: a case series study.

Robot-assisted bilateral arm therapy (RBAT) has shown promising results in stroke rehabilitation; ho...

Decoding post-stroke motor function from structural brain imaging.

Clinical research based on neuroimaging data has benefited from machine learning methods, which have...

A Robotic Exoskeleton for Treatment of Crouch Gait in Children With Cerebral Palsy: Design and Initial Application.

Crouch gait, a pathological pattern of walking characterized by excessive knee flexion, is one of th...

The potential power of robotics for upper extremity stroke rehabilitation.

Two decades of research on robots and upper extremity rehabilitation has resulted in recommendations...

Developing a Wearable Ankle Rehabilitation Robotic Device for in-Bed Acute Stroke Rehabilitation.

Ankle movement training is important in motor recovery post stroke and early intervention is critica...

Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review.

Powered robotic exoskeletons are a potential intervention for gait rehabilitation in stroke to enabl...

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