Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier
This paper seeks to solve the classification problem of cardiac arrhythmias by using a small number of electrocardiogram (ECG) recordings. To offer a reasonable solution to this problem, a technique that combines a common matrix approach (CMA)-based classifier model with the Fourier decomposition me...
Saved in:
| Main Authors: | Ali Kirkbas, Aydin Kizilkaya |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/4/1220 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
XABH-CNN-GRU: Explainable attention-based hybrid CNN-GRU model for accurate identification of common arrhythmias
by: Abduljabbar S. Ba Mahel, et al.
Published: (2025-09-01) -
CLASSIFICATION OF ARRHYTHMIA DISEASES BY THE CONVOLUTIONAL NEURAL NETWORK METHOD BASED ON ECG IMAGES
by: Agustian Arditya Pratama, et al.
Published: (2023-06-01) -
ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks
by: Kiruthika Balakrishnan, et al.
Published: (2025-06-01) -
Accuracy and interpretability of smartwatch electrocardiogram for early detection of atrial fibrillation: A systematic review and meta‐analysis
by: Dr. Muhammad Iqhrammullah, et al.
Published: (2025-06-01) -
Holter ECG monitoring in studying cardiac arrhythmias among railway workers
by: S. N. Sviridov, et al.
Published: (2005-06-01)