Park et al., 2023 - Google Patents
A classifying model of obstructive sleep apnea based on heart rate variability in a large Korean populationPark et al., 2023
View HTML- Document ID
- 8978983696635235048
- Author
- Park P
- Kim J
- Publication year
- Publication venue
- Journal of Korean medical science
External Links
Snippet
Background The majority of patients with obstructive sleep apnea do not receive timely diagnosis and treatment because of the complexity of a diagnostic test. We aimed to predict obstructive sleep apnea based on heart rate variability, body mass index, and demographic …
Classifications
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- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
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