Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals
Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and precise diagnosis to slow CAD progression. Electrocardiogram (ECG) and phonocardiogram (PCG), conveying abundant disease-related information, are prevalent clinical techniques for early CAD diagnosis. Neve...
Saved in:
| Main Authors: | Chengfa Sun, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/6939 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced CAD Detection Using Novel Multi-Modal Learning: Integration of ECG, PCG, and Coupling Signals
by: Chengfa Sun, et al.
Published: (2024-10-01) -
Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
by: Nadikatla Chandrasekhar, et al.
Published: (2025-03-01) -
The Prognostic Value of the Coronary Calcium Score for Detecting Significant Coronary Artery Stenosis Based on CT Coronary Angiography in Patients with Coronary Artery Disease
by: Mykhailo S. Ishchenko, et al.
Published: (2025-03-01) -
CFANet: The Cross-Modal Fusion Attention Network for Indoor RGB-D Semantic Segmentation
by: Long-Fei Wu, et al.
Published: (2025-05-01) -
FGMFN: Fine-Grained Multiscale Cross-Modal Sentiment Analysis in Advertisements
by: Han Wang, et al.
Published: (2025-01-01)