Improving myocardial infarction diagnosis with Siamese network-based ECG analysis.
<h4>Background</h4>Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood flow. The leading cause of death for middle-aged and older people worldwide is myocardial infarction (MI), which is difficult to diagnose because it has no symptoms. Clinicians must...
Saved in:
Main Authors: | Vaibhav Gadag, Simrat Singh, Anshul Harish Khatri, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Abishi Chowdhury, Amrit Pal, Sachi Nandan Mohanty |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0313390 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Examining the Specificity of Smartphone ECG Devices in Decision-Making for ST-Elevation Myocardial Infarction and Non-ST-Elevation Myocardial Infarction
by: Sahil mahajan, et al.
Published: (2025-01-01) -
Accuracy and fairness – Siamese twins?
by: Thomas Weigend
Published: (2023-06-01) -
Group-based siamese self-supervised learning
by: Zhongnian Li, et al.
Published: (2024-08-01) -
Remote ECG Monitoring by ECG247 Smart Heart Sensor
by: Jarle Jortveit, et al.
Published: (2022-01-01) -
Robust deepfake detection method based on siamese network
by: LIN Shanhe
Published: (2024-04-01)