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The aim of the study was to inspect the acoustic properties and sleep characteristics of a preapneic snoring sound. The feasibility of forecasting upcoming respiratory events by snoring sound was also investigated.

Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal