Automated estimation of computed tomography-derived left ventricular mass using sex-specific 12-lead ECG-based temporal convolutional network
The proposed eLVMass-Net outperformed previously published approaches by ECG pre-processing with synchronized single heartbeat extraction and TCN as ECG encoder. Additionally, the development of sex-specific models proved to be a rational approach.
Authors
- Vincent S. Tseng (ORCID: https://orcid.org/0000-0002-4853-1594)
- Wen‐Jeng Lee (ORCID: https://orcid.org/0000-0003-3267-4811)
- Benny Wei‐Yun Hsu (ORCID: https://orcid.org/0000-0003-2101-704X)
- Chih‐Kuo Lee (ORCID: https://orcid.org/0000-0001-5796-6971)
- Heng‐Yu Pan
- Tzung‐Dau Wang (ORCID: https://orcid.org/0000-0002-7180-3607)
- Tai‐Ming Ko (ORCID: https://orcid.org/0000-0001-7546-5724)
- Y.-c. Hsu
- Chun-Ti Chou
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Taiwan University Hospital (TW)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-10-19
- DOI
- https://doi.org/10.1093/ehjdh/ztaf122
- Primary Topic
- Advancements in Semiconductor Devices and Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science and Technology Council