Sensors, technologies, and classification algorithms for monitoring and diagnosis of sleep apnea.
- DOI
- 10.1177/20552076261443358
- Published
- 2026 Jan-Dec
- Container
- Digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/20552076261443358,
title = {Sensors, technologies, and classification algorithms for monitoring and diagnosis of sleep apnea.},
author = {Arango Toro J and Tobón D and González Palacio M},
year = {2026},
journal = {Digital health},
doi = {10.1177/20552076261443358},
url = {https://doi.org/10.1177/20552076261443358}
}RIS
TY - JOUR TI - Sensors, technologies, and classification algorithms for monitoring and diagnosis of sleep apnea. AU - Arango Toro J AU - Tobón D AU - González Palacio M PY - 2026 JO - Digital health DO - 10.1177/20552076261443358 UR - https://doi.org/10.1177/20552076261443358 ER -
APA
J, A. T., D, T., & M, G. P. (2026). Sensors, technologies, and classification algorithms for monitoring and diagnosis of sleep apnea.. Digital health. https://doi.org/10.1177/20552076261443358
Source records
- pubmed · retrieved 2026-09-25T10:29:36.988Z
- europe-pmc · retrieved 2026-09-25T10:29:37.002Z
- doaj · retrieved 2026-09-25T10:29:36.990Z