Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fib...
Saved in:
Main Author: | Nagel, Claudia (auth) |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
KIT Scientific Publishing
2023
|
Series: | Karlsruhe transactions on biomedical engineering
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
by: Nagel, Claudia
Published: (2023) -
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation A Translational Study to Guide Ablation Therapy
by: Patricio Sánchez Arciniegas, Jorge
Published: (2022) -
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation A Translational Study to Guide Ablation Therapy
by: Patricio Sánchez Arciniegas, Jorge
Published: (2022) -
Recent Advances in Understanding the Basic Mechanisms of Atrial Fibrillation Using Novel Computational Approaches
Published: (2019) -
Multiscale Modeling of Cardiac Electrophysiology: Adaptation to Atrial and Ventricular Rhythm Disorders and Pharmacological Treatment
by: Wilhelms, Mathias
Published: (2013)