Sleep Stage Classification Through HRV, Complexity Measures, and Heart Rate Asymmetry Using Generalized Estimating Equations Models
Bartosz Biczuk, Sebastian Żurek, Szymon Jurga, Elżbieta Turska, Przemysław Guzik, Jarosław Piskorski · 2024
Read Sleep Stage Classification Through HRV, Complexity Measures, and Heart Rate Asymmetry Using Generalized Estimating Equations Models by Bartosz Biczuk, Sebastian Żurek, Szymon Jurga, Elżbieta Turska, Przemysław Guzik, Jarosław Piskorski (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11675681.txt.
Description
Bartosz Biczuk and co-authors read sleep stages from the heartbeat's hidden asymmetries, in a 2024 paper. Standard sleep scoring leans on brain waves, but heart signals are cheaper to gather all night. Beyond ordinary heart rate variability, the heart speeds up and slows down unevenly, and that asymmetry may carry its own news about sleep depth.
Using thirty-one full sleep recordings, the team worked only from the electrocardiogram's beat intervals. Models that included asymmetry measures spotted deep sleep stages and stage transitions with strong accuracy, and the gains were firmly significant. Asymmetry added information that variability and complexity measures alone missed. The result points toward leaner home sleep tests built on a single chest signal.
Catalog record
| CREATOR | Bartosz Biczuk, Sebastian Żurek, Szymon Jurga, Elżbieta Turska, Przemysław Guzik, Jarosław Piskorski |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 72 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |