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.

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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

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article

Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows

Mizuki Morita, Takahiro Yamane, Masanori Fujii
1 citations
Sleep And Breathing
Obstructive Sleep Apnea Research
1.16
article

Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows

Mizuki Morita, Takahiro Yamane, Masanori Fujii
article en
1 citations

Abstract

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.

Sleep And BreathingVol. 29(2)
Okayama University of Science (JP), Okayama University (JP), Okayama University Hospital (JP)
Okayama University
Openalex Percentile: Top 24%
Obstructive Sleep Apnea Research
1.16
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