Cardiovascular

Arrhythmias

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

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Showing 1261-1281 of 1,714 articles
Validation of a CT-guided intervention robot for biopsy and radiofrequency ablation: experimental study with an abdominal phantom.

PURPOSE: We aimed to evaluate the accuracy of a needle-placement robot for biopsy and radiofrequency...

Rare Manifestation of Digoxin Toxicity: Right Bundle Branch Block.

A 76-year-old female, with medical history significant for systolic congestive heart failure, who pr...

[Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].

With the increasing number of electrocardiogram(ECG)data,extensive application requirements of compu...

Robot-assistant for MRI-guided liver ablation: A pilot study.

PURPOSE: Percutaneous ablation under MRI-guidance allows treating otherwise inoperable liver tumors ...

Stereotactic robot-assisted MRI-guided laser thermal ablation of radiation necrosis in the posterior cranial fossa: technical note.

Laser interstitial thermal therapy (LITT) is a minimally invasive procedure used to treat a variety ...

Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. ...

Monitoring and detecting atrial fibrillation using wearable technology.

Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of ...

Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of card...

[Salvage external beam radiation therapy for prostate cancer recurrence after high-intensity focused ultrasound ablation].

The article outlines oncological and functional outcomes of salvage external beam radiation therapy ...

Electrocardiogram signal denoising based on a new improved wavelet thresholding.

Good quality electrocardiogram (ECG) is utilized by physicians for the interpretation and identifica...

Using ordinal partition transition networks to analyze ECG data.

Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordi...

Sparse electrocardiogram signals recovery based on solving a row echelon-like form of system.

The study of biology and medicine in a noise environment is an evolving direction in biological data...

The effects of sternal intraosseous and intravenous administration of amiodarone in a hypovolemic swine cardiac arrest model.

OBJECTIVE: This study compared the effects of amiodarone via sternal intraosseous (SIO) and intraven...

The effects of tibial intraosseous versus intravenous amiodarone administration in a hypovolemic cardiac arrest procine model.

OBJECTIVE: This study compared the effects of amiodarone via tibial intraosseous (TIO) and intraveno...

The safety assessment of saffron (Crocus sativus L.) on sympathovagal balance and heart rate variability; a comparison with amiodarone.

Dry stigmas of the Crocus sativus L. (Saffron) are well known in world as a popular flavouring and t...

Physical activities recognition from ambulatory ECG signals using neuro-fuzzy classifiers and support vector machines.

The use of wearable recorders for long-term monitoring of physiological parameters has increased in ...

Convolutional Neural Networks for patient-specific ECG classification.

We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitorin...

A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagno...

A novel approach for arrhythmia diagnosis: Self-adaptive and distribution-free mode.

Arrhythmia diagnosis is very significant to ensure human health. In this paper, a new model is devel...

Using EHRs and Machine Learning for Heart Failure Survival Analysis.

"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing preva...

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