From Pulse to Phenotype
Using pulse wave features instead of manually scored EEG-based arousals in respiratory modelling allows for accurately determining OSA endotypes. This approach might enable physiologic endotyping in non-EEG-based sleep studies, expanding the accessibility of personalized OSA management.
Authors
- Jan Anders Hedner (ORCID: https://orcid.org/0000-0002-7190-394X)
- Scott A. Sands (ORCID: https://orcid.org/0000-0003-3752-0328)
- Ludger Grote (ORCID: https://orcid.org/0000-0002-7405-1682)
- Christian Straßberger (ORCID: https://orcid.org/0000-0003-4629-3155)
- Ding Zou (ORCID: https://orcid.org/0000-0003-2057-8558)
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Sahlgrenska University Hospital (SE)
- Circadian (United States) (US)
- University of Gothenburg (SE)
Publication Details
- Journal
- CHEST Journal
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1016/j.chest.2025.12.005
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00