Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types
Abnormality of the cardiac conduction system can induce arrhythmia - abnormal heart rhythm - that can frequently lead to other cardiac diseases and complications, and are sometimes life-threatening. These conduction system perturbations can manifest as morphological changes on the surface electrocar...
Saved in:
Main Authors: | Oh, Shu Lih, Ng, Eddie Yin Kwee, Tan, Ru San, Acharya, U. Rajendra |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/143836 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
by: Oh, Shu Lih, et al.
Published: (2020) -
ECGTransForm: empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
by: Eldele, Emadeldeen, et al.
Published: (2023) -
Application of deep learning algorithms for automated detection of arrhythmias with ECG beats
by: Oh, Shu Lih
Published: (2019) -
A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression
by: Yang, Jianli, et al.
Published: (2020) -
A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia
by: Wang, Liang-Hung, et al.
Published: (2021)