Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows
ECG data from a few minutes before and after SA occurrence were effective in SA detection and SAS diagnosis, confirming that SA is a continuous phenomenon and that SA affects heart function over a few minutes before and after SA occurrence. Screening tests for SAS, using data obtained from single-lead ECGs with appropriate past and future time windows, should be performed with clinical-level accuracy.
Authors
- Mizuki Morita (ORCID: https://orcid.org/0000-0001-8592-5499)
- Takahiro Yamane (ORCID: https://orcid.org/0000-0003-3251-384X)
- Masanori Fujii
Institutions
- Okayama University of Science (JP)
- Okayama University (JP)
- Okayama University Hospital (JP)
Publication Details
- Journal
- Sleep And Breathing
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1007/s11325-025-03316-0
- Citations
- 1
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Okayama University