Cardiovascular

Arrhythmias

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

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Showing 1555-1575 of 2,007 articles
Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption

The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for...

ECG-PPS: Privacy Preserving Disease Diagnosis and Monitoring System for Real-Time ECG Signal

This study introduces the development of a state of the art, real time ECG monitoring and analysis...

Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study.

BACKGROUND: Artificial intelligence (AI)-enabled electrocardiography (ECG) can be used to predict ri...

Nov 2024 39455192
Leveraging machine learning for preoperative prediction of supramaximal ablation in laser interstitial thermal therapy for brain tumors.

OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient sur...

Nov 2024 39486059
Atrial Fibrillation Detection System via Acoustic Sensing for Mobile Phones

Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atri...

Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test

Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's ...

A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model.

This study presented a novel approach for the precise ablation of breast tumors using focused ultras...

Oct 2024 39696866
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation

Atrial fibrillation is a commonly encountered clinical arrhythmia associated with stroke and incre...

Optimization of a Radiofrequency Ablation FEM Application Using Parallel Sparse Solvers

Finite element method applications are a common approach to simulate a handful of phenomena but ca...

Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review

The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining comb...

Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs.

Purpose To develop and evaluate a publicly available deep learning model for segmenting and classify...

Sep 2024 39017033
LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network.

The electrocardiogram (ECG) is a fundamental and widely used tool for diagnosing cardiovascular dise...

Sep 2024 39218586
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to de...

Aug 2024 39168568
[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatmen...

Aug 2024 39218595
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies.

Developing novel predictive models with complex biomedical information is challenging due to various...

Aug 2024 39176807
A Novel Method and Python Library for ECG Signal Quality Assessment.

Electrocardiogram (ECG) is one of the reference cardiovascular diagnostic exams. However, the ECG si...

Aug 2024 39176928
AcousAF: Acoustic Sensing-Based Atrial Fibrillation Detection System for Mobile Phones

Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atri...

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