Arrhythmias

Arrhythmias

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

1,996 articles

Universal representations in cardiovascular ECG assessment: A self-supervised learning approach.

BACKGROUND: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assess...

Dec 2024 39631267

An ECG-based machine-learning approach for mortality risk assessment in a large European population.

AIMS: Through a simple machine learning approach, we aimed to assess the risk of all-cause mortality...

Nov 2024 39671805

Long-duration electrocardiogram classification based on Subspace Search VMD and Fourier Pooling Broad Learning System.

Detecting early stages of cardiovascular disease from short-duration Electrocardiogram (ECG) signals...

Nov 2024 39922647

Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis.

PURPOSE: To predict survival and tumor recurrence following image-guided thermal ablation (IGTA) of ...

Nov 2024 39604700

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers.

Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopat...

Nov 2024 39581517

Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators.

BACKGROUND: Predicting the clinical trajectory of individual patients with implantable cardioverter-...

Nov 2024 39570241

Foot fractures diagnosis using a deep convolutional neural network optimized by extreme learning machine and enhanced snow ablation optimizer.

The current investigation proposes a novel hybrid methodology for the diagnosis of the foot fracture...

Nov 2024 39558102

Prediction and Elimination of Physiological Tremor During Control of Teleoperated Robot Based on Deep Learning.

Currently, teleoperated robots, with the operator's input, can fully perceive unknown factors in a c...

Nov 2024 39599135

Assessing operator stress in collaborative robotics: A multimodal approach.

In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...

Nov 2024 39550871

Exploring ChatGPT's potential in ECG interpretation and outcome prediction in emergency department.

BACKGROUND: Approximately 20 % of emergency department (ED) visits involve cardiovascular symptoms. ...

Nov 2024 39566376

Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic Features.

BACKGROUND: Subtle, prognostically important ECG features may not be apparent to physicians. In the ...

Nov 2024 39540287

FlexPoints: Efficient electrocardiogram signal compression for machine learning.

The electrocardiogram (ECG) stands out as one of the most frequently used medical tests, playing a c...

Nov 2024 39549652

A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.

Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power...

Nov 2024 39598983

Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network.

The classification of ECG signals is a critical process because it guides the diagnosis of the prope...

Oct 2024 39517929

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Universal representations in cardiovascular ECG assessment: A self-supervised learning approach.

An ECG-based machine-learning approach for mortality risk assessment in a large European population.

Long-duration electrocardiogram classification based on Subspace Search VMD and Fourier Pooling Broad Learning System.

Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis.

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers.

Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators.

Foot fractures diagnosis using a deep convolutional neural network optimized by extreme learning machine and enhanced snow ablation optimizer.

Prediction and Elimination of Physiological Tremor During Control of Teleoperated Robot Based on Deep Learning.

Assessing operator stress in collaborative robotics: A multimodal approach.

Exploring ChatGPT's potential in ECG interpretation and outcome prediction in emergency department.

Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic Features.

FlexPoints: Efficient electrocardiogram signal compression for machine learning.

A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.

Automated arrhythmia classification based on a pyramid dense connectivity layer and BiLSTM.

Machine learning for improved medical device management: A focus on defibrillator performance.

Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model.

Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification.

ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors.

Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGs.

AI derived ECG global longitudinal strain compared to echocardiographic measurements.

Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network.

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