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Electrocardiography (ECG)

Papers

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Showing 51–75 of 117 papers

TitleStatusHype
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks—0
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review—0
Automated Identication of Atrial Fibrillation from Single-lead ECGs Using Multi-branching ResNet—0
Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks—0
Automatic Detection of Congestive Heart Failure Based on a Hybrid Deep Learning Algorithm in the Internet of Medical Things—0
Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network—0
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models—0
Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis—0
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network—0
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data—0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks—0
On Arrhythmia Detection by Deep Learning and Multidimensional Representation—0
Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection—0
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
Predicting Pulmonary Hypertension by Electrocardiograms Using Machine Learning—0
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs—0
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning—0
Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction—0
Remote atrial fibrillation burden estimation using deep recurrent neural network—0
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices—0
Segmentation-based Extraction of Key Components from ECG Images: A Framework for Precise Classification and Digitization—0
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study—0
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage—0
Sleep stage classification from heart-rate variability using long short-term memory neural networks—0
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