Generation of 12-lead patient-specific electrocardiogram and risk prediction of cardiovascular disease using deep learning

Generation of 12-lead patient-specific electrocardiogram and risk prediction of cardiovascular disease using deep learning

<p>This thesis presents a novel deep learning framework based on Variational Autoencoders (VAEs) for the generation and analysis of 12-lead electrocardiograms (ECGs), and its use for cardiovascular disease (CVD) risk prediction. It focuses on three major aspects:</p> <p>First, we...

書目詳細資料
主要作者:	Sang, Y
其他作者:	Grau Colomer, V
格式:	Thesis
語言:	English
出版:	2023
主題:	Biomedical engineering Deep learning (Machine learning)

相似書籍

Editorial: Deep learning for disease prediction in next-generation sequencing and biomedical imaging data
由: Saurav Mallik, et al.
出版: (2023-08-01)

Uncertainty-Aware Deep Learning-Based Cardiac Arrhythmias Classification Model of Electrocardiogram Signals
由: Ahmad O. Aseeri
出版: (2021-06-01)

Brief Review on Electrocardiogram Analysis and Classification Techniques with Machine Learning Approaches
由: Pedro Henrique Borghi de Melo
出版: (2021-11-01)

Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension
由: Jihyun Lee, et al.
出版: (2020-08-01)

Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
由: Jong-Hwan Jang, et al.
出版: (2021-01-01)

ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram
由: Ching-Heng Lin, et al.
出版: (2025-02-01)

Blending Ensemble Learning Model for 12-Lead Electrocardiogram-Based Arrhythmia Classification
由: Hai-Long Nguyen, et al.
出版: (2024-11-01)

Deep learning-derived 12-lead electrocardiogram-based genotype prediction for hypertrophic cardiomyopathy: a pilot study
由: LaiTe Chen, et al.
出版: (2023-12-01)

Versatile Machine Learning-Based Authentications by Using Enhanced Time-Sliced Electrocardiograms
由: Yi Zhao, et al.
出版: (2024-03-01)

An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies
由: Roberta Fusco, et al.
出版: (2024-01-01)

DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning
由: Wei Du, et al.
出版: (2020-01-01)

A Machine Learning Framework for Biometric Authentication Using Electrocardiogram
由: Song-Kyoo Kim, et al.
出版: (2019-01-01)

Can C-Reactive Protein (CRP) Time Series Forecasting be Achieved via Deep Learning?
由: Mohsen Dorraki, et al.
出版: (2019-01-01)

Robustness, structure and hierarchy in deep generative models
由: Willetts, MJF
出版: (2021)

Deep generative models for biology: represent, predict, design
由: Notin, P
出版: (2023)

Computational Diagnostic Techniques for Electrocardiogram Signal Analysis
由: Liping Xie, et al.
出版: (2020-11-01)

Toward Automated Feature Extraction for Deep Learning Classification of Electrocardiogram Signals
由: Fatima Sajid Butt, et al.
出版: (2022-01-01)

A one-dimensional convolutional neural network-based deep learning approach for predicting cardiovascular diseases
由: Dhafer G. Honi, et al.
出版: (2024-01-01)

Quantitative histopathological assessment of liver fibrosis
由: Wojciechowska, M
出版: (2023)

AI-Enabled Electrocardiogram Analysis for Disease Diagnosis
由: Mohammad Mahbubur Rahman Khan Mamun, et al.
出版: (2023-10-01)

Generative Adversarial Networks in Retinal Image Classification
由: Francesco Mercaldo, et al.
出版: (2023-09-01)

Generative Elastic Networks (GENs) and Application on Classification of Single-Lead Electrocardiogram
由: Nan Xiao, et al.
出版: (2024-01-01)

Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study
由: Shuhei Toba, et al.
出版: (2025-03-01)

An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning
由: Ebrahim Al Alkeem, et al.
出版: (2019-01-01)

Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation
由: Hossein Honarvar, PhD, et al.
出版: (2022-10-01)

Using Sensors and Deep Learning to Enable On-Demand Balance Evaluation for Effective Physical Therapy
由: Wenchuan Wei, et al.
出版: (2020-01-01)

An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease
由: Tanjila Alam Sathi, et al.
出版: (2024-12-01)

Deep Transfer Learning for Chronic Obstructive Pulmonary Disease Detection Utilizing Electrocardiogram Signals
由: Inanc Moran, et al.
出版: (2023-01-01)

Demystifying the Electrocardiogram—A Printed Circuit Board for Use in a Biomedical Electronics Laboratory
由: Pádraig Herbert
出版: (2024-02-01)

Predicting Quality of Multimedia Experience Using Electrocardiogram and Respiration Signals
由: Sowmya Vijayakumar, et al.
出版: (2025-01-01)

Statistics and Deep Belief Network-Based Cardiovascular Risk Prediction
由: Jaekwon Kim, et al.
出版: (2017-07-01)

Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks
由: Jayroop Ramesh, et al.
出版: (2021-10-01)

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill
由: Kevin Kasa, et al.
出版: (2022-09-01)

Deep generative models in DataSHIELD
由: Stefan Lenz, et al.
出版: (2021-04-01)

Structural Anomalies Detection from Electrocardiogram (ECG) with Spectrogram and Handcrafted Features
由: Hongzu Li, et al.
出版: (2022-03-01)

Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
由: Amina Ladhari, et al.
出版: (2024-04-01)

Deep Learning Applications /
由: Mazzeo, Pier Luigi, editor, et al.
出版: (2021)

Electrocardiogram lead conversion from single-lead blindly-segmented signals
由: Sofia C. Beco, et al.
出版: (2022-11-01)

Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications
由: Gonzales, RA
出版: (2024)

Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19
由: Nada M. Elshennawy, et al.
出版: (2022-07-01)