Oxygen Saturation Sample Entropy, a Novel Diagnostic Tool in Sleep Disordered Breathing.

ABSTRACT:

Purpose

To assess whether a Network Physiology approach using Sample Entropy and Transfer Entropy can be applied to simple physiological signals obtained during sleep studies, to accurately distinguish between different types of sleep disordered breathing (SDB) and streamline the diagnostic process.

Methods

Retrospective study on patients who underwent a sleep study between January 2017 and December 2021. The training dataset, used for algorithm development, included four clinically important groups: normal, obstructive sleep apnoea alone, sustained nocturnal hypoxemia with a high AHI (≥ 30/hr) and sustained nocturnal hypoxemia with a low AHI (< 30/hr). Mean, standard deviation, Sample Entropy and Transfer Entropy was calculated for heart rate, respiratory rate, oxygen satur

SUBMITTER: Shah AJ 

PROVIDER: S-EPMC12823762 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature