Cardiovascular

Arrhythmias

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

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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...

(3)
Nov 2024 39550871
Exploring ChatGPT's potential in ECG interpretation and outcome prediction in emergency department.

BACKGROUND: Approximately 20Ā % 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 ...

(1)
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...

(3)
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...

(3)
Nov 2024 39598983
Automated arrhythmia classification based on a pyramid dense connectivity layer and BiLSTM.

BackgroundDeep neural networks (DNNs) have recently been significantly applied to automatic arrhythm...

Nov 2024 39973841
Machine learning for improved medical device management: A focus on defibrillator performance.

BackgroundPoorly regulated and insufficiently maintained medical devices (MDs) carry high risk on sa...

Nov 2024 39973846
Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model.

Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them. Electroc...

(1)
Nov 2024 39505940
Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification.

In response to increasing data privacy regulations, this work examines the use of federated learning...

Nov 2024 39008397
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors.

Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acqui...

Nov 2024 39250357
Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGs.

BACKGROUND: Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respec...

Nov 2024 39494568
AI derived ECG global longitudinal strain compared to echocardiographic measurements.

Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to o...

(1)
Nov 2024 39488646
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...

(1)
Oct 2024 39517929
Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals.

Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and preci...

(1)
Oct 2024 39517836
Automatic noise detection for ambulatory electrocardiogram in presence of ventricular arrhythmias through a machine learning approach.

Noise detection in ambulatory electrocardiography is investigated as a machine learning binary class...

Oct 2024 39447403
Diagnostic performance of single-lead electrocardiograms for arterial hypertension diagnosis: a machine learning approach.

Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...

(2)
Oct 2024 39424986
Rhythm-Ready: Harnessing Smart Devices to Detect and Manage Arrhythmias.

PURPOSE OF REVIEW: To survey recent progress in the application of implantable and wearable sensors ...

(1)
Oct 2024 39422821
Deep learning assists early-detection of hypertension-mediated heart change on ECG signals.

Arterial hypertension is a major risk factor for cardiovascular diseases. While cardiac ultrasound i...

(1)
Oct 2024 39394520
Serum Potassium Monitoring UsingĀ AI-Enabled Smartwatch Electrocardiograms.

BACKGROUND: Hyperkalemia, characterized by elevated serum potassium levels, heightens the risk of su...

Oct 2024 39387744
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