Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring
The new algorithm enhanced automated QT interval analysis, especially for long-term ECG recordings. Its effectiveness in processing different T-wave morphologies with accuracy and efficiency makes it a promising tool for clinical use and improving QT interval analysis in patient care and diagnostics.
Authors
- Kaoru Hatano (ORCID: https://orcid.org/0009-0000-8478-5308)
- Tomohiro Takata
- Hirohisa Taniguchi
- Yuichi Tamura (ORCID: https://orcid.org/0000-0002-4437-8019)
- Mineki Takechi
Institutions
- Tohoku University (JP)
- Engineering Advancement Association of Japan (JP)
- Mita Hospital (JP)
Publication Details
- Journal
- Heliyon
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1016/j.heliyon.2025.e42662
- Citations
- 1
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Tokyo Metropolitan Government
- Chiba University