Cardiovascular

Strokes

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

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Artificial Intelligence in Stroke Imaging: A Comprehensive Review.

The aging population challenges the health-care system with chronic diseases. Cerebrovascular diseas...

Antihypertensive prescribing patterns in non-dialysis dependent chronic kidney disease: Findings from the Salford Kidney Study.

BACKGROUND: Hypertension is commonly observed in patients living with chronic kidney disease (CKD). ...

[Advances in chest imaging in early chronic obstructive pulmonary disease].

Chronic obstructive pulmonary disease(COPD)is a heterogeneous and complex disease, and is characteri...

Deep Learning of Electrocardiograms in Sinus Rhythm From US Veterans to Predict Atrial Fibrillation.

IMPORTANCE: Early detection of atrial fibrillation (AF) may help prevent adverse cardiovascular even...

End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial.

BACKGROUND: This pilot study investigated end-effector lower limb rehabilitation robot training effe...

Critical Appraisal on the Role of Warfarin in the Current Era.

Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60...

Influence of Robotic Therapy on Severe Stroke Patients.

Robotic rehabilitation has emerged as a promising approach to enhance motor recovery after stroke, b...

Development and Validation of a Kinematically Accurate Upper-Limb Exoskeleton Digital Twin for Stroke Rehabilitation.

Rehabilitation robotics combined with virtual reality using head-mounted displays enable naturalisti...

A Decision Support System to Provide an Ongoing Prediction of Robot-Assisted Rehabilitation Outcome in Stroke Survivors.

Clinicians often deal with complex robotic platform and serious games in stroke patients rehabilitat...

EMG-Based Control Strategies of a Supernumerary Robotic Hand for the Rehabilitation of Sub-Acute Stroke Patients: Proof of Concept.

One of the most frequent and severe aftermaths of a stroke is the loss of upper limb functionality. ...

Model-Based Shared Control of a Hybrid FES-Exoskeleton: An Application in Participant-Specific Robotic Rehabilitation.

Hybrid exoskeleton, comprising an exoskeleton interfaced with functional electrical stimulation (FES...

Assistive Completion of Agrammatic Aphasic Sentences: Amalgamation of NLP and Neurolinguistics-based Synthetic Dataset.

Damage to the inferior frontal gyrus (Broca's area) can cause agrammatic aphasia wherein patients, a...

Fuzzy-Inspired Sensing for Time-Domain Brain Stroke Diagnosis: Disease Retrospective Monitoring Strategy.

This paper propose a novel disease retrospective monitoring strategy (DRMS) for optimal brain stroke...

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm.

Automated detection of atrial fibrillation (AF) from electrocardiogram (ECG) traces remains a challe...

A double-channel multiscale depthwise separable convolutional neural network for abnormal gait recognition.

Abnormal gait recognition is important for detecting body part weakness and diagnosing diseases. The...

Task-oriented arm training for stroke patients based on remote handling technology concepts: A feasibility study.

BACKGROUND: Improving arm-hand skill performance is a major therapeutic target in stroke rehabilitat...

A Machine Learning-Based Initial Difficulty Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot.

Trunk rehabilitation exercises such as those for remediating core stability can help improve the sea...

DockNet: high-throughput protein-protein interface contact prediction.

MOTIVATION: Over 300 000 protein-protein interaction (PPI) pairs have been identified in the human p...

[Research progress on mechanical perturbation in stroke rehabilitation].

Sensorimotor disorder can be easily caused by stroke, and there are many targeted movement rehabilit...

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