ECGTransForm: empowering adaptive ECG arrhythmia classification framework with bidirectional transformer

ECGTransForm: empowering adaptive ECG arrhythmia classification framework with bidirectional transformer

Cardiac arrhythmias, deviations from the normal rhythmic beating of the heart, are subtle yet critical indicators of potential cardiac challenges. Efficiently diagnosing them requires intricate understanding and representation of both spatial and temporal features present in Electrocardiogram (ECG)...

Full description

Saved in:
Bibliographic Details
Main Authors: Eldele, Emadeldeen, El-Ghaish, Hany
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Bioengineering
ECG
Arrhythmia
Online Access:https://hdl.handle.net/10356/171854
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/171854

Similar Items