Identification of myocardial infarction using morphological features of electrocardiogram and vectorcardiogram
Abstract Cardiac failure, such as myocardial infarction (MI), is one of the most serious causes of mortality worldwide. MI is the sign of cardiac cell damage as a result of decreased blood oxygen level, which causes some morphological changes in the form of 12‐lead electrocardiogram (ECG) waves incl...
Enregistré dans:
Auteurs principaux: | Nastaran Jafari Hafshejani, Alireza Mehridehnavi, Reza Hajian, Shabnam Boudagh, Mohaddeseh Behjati |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/275c066929b14e28914f82fda80d3b4c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A novel electrocardiogram characteristic in patients with myocardial injury due to COVID-19
par: Marzieh Mirtajaddini, et autres
Publié: (2021) -
Automated Classification Model With OTSU and CNN Method for Premature Ventricular Contraction Detection
par: Liang-Hung Wang, et autres
Publié: (2021) -
Importancia del electrocardiograma en el diagnóstico del infarto agudo al miocardio por obstrucción del tronco común de arteria coronaria izquierda
par: González,Francisca, et autres
Publié: (2020) -
Expert consensus document on automated diagnosis of the electrocardiogram: The task force on automated diagnosis of the electrocardiogram in Japan
par: Takao Katoh, et autres
Publié: (2021) -
An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques
par: Mohamed Sraitih, et autres
Publié: (2021)