Detection of sleep apnea using only inertial measurement unit signals from apple watch: a pilot-study with machine learning approach
Utilizing the widespread availability of the Apple Watch and the low power requirements of the IMU, this approach has the potential to significantly improve sleep apnea screening accessibility.
Authors
- Emi Yuda (ORCID: https://orcid.org/0000-0002-1865-7735)
- YUTAKA MURAKAMI
- Junichiro Hayano (ORCID: https://orcid.org/0000-0002-5340-6325)
- Mine Adachi
- Fumihiko Sasaki
Institutions
- Tohoku University (JP)
- Sony Computer Science Laboratories (JP)
- Nagoya Heart Center (JP)
Publication Details
- Journal
- Sleep And Breathing
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1007/s11325-025-03255-w
- Citations
- 8
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 9.31