CLASSIFICATION OF ARRHYTHMIA DISEASES BY THE CONVOLUTIONAL NEURAL NETWORK METHOD BASED ON ECG IMAGES
Arrhythmia is a heart disorder that refers to an abnormal heartbeat rhythm. Arrhythmia detection uses an electrocardiogram (ECG) to describe the heart's electrical activity. This research aimed to know the performance of the Convolutional Neural Network method in classifying arrhythmia diseases...
Saved in:
| Main Authors: | Agustian Arditya Pratama, Agus Maman Abadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2023-06-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6689 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ECG-GraphNet: Advanced arrhythmia classification based on graph convolutional networks
by: Myeonghun Lee, BS, et al.
Published: (2025-08-01) -
Intra- and Interpatient ECG Heartbeat Classification Based on Multimodal Convolutional Neural Networks with an Adaptive Attention Mechanism
by: Ítalo Flexa Di Paolo, et al.
Published: (2024-10-01) -
Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images
by: Chotirose Prathom, et al.
Published: (2025-03-01) -
Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms
by: Pinjala N Malleswari, et al.
Published: (2024-12-01) -
Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks
by: Suzhao Bi, et al.
Published: (2024-12-01)