Enhanced CAD Detection Using Novel Multi-Modal Learning: Integration of ECG, PCG, and Coupling Signals
Early and highly precise detection is essential for delaying the progression of coronary artery disease (CAD). Previous methods primarily based on single-modal data inherently lack sufficient information that compromises detection precision. This paper proposes a novel multi-modal learning method ai...
Saved in:
| Main Authors: | Chengfa Sun, Xiaolei Liu, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao, Ming Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/11/11/1093 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG 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) -
Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data
by: Wallace Camacho Carlos, et al.
Published: (2024-11-01) -
CAD/CAE Integrated Design of High-speed Train Gear Couplings
by: Mao Dongjin, et al.
Published: (2023-01-01) -
FACE: Feature-preserving CAD model surface reconstruction
by: Shuxian Cai, et al.
Published: (2024-12-01)