[Prediction models for respiratory event types in OSA patients based on hypoxic parameters]

C Peng1, S R Xu1, Y Wang1

  • 1Department of Respiratory and Critical Care Medicine, Tianjin Medical University Gene Hospital, Tianjin 300052, China.

Summary

This study developed four predictive models using hypoxic parameters to automatically identify respiratory event types in obstructive sleep apnea (OSA). These models offer a novel tool for analyzing nocturnal SpO2 data to distinguish between hypopnea, obstructive apnea, central apnea, and mixed apnea.

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