Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology.

A trained LSTM model shows acceptable accuracy for deriving breathing metrics and could be useful for long-term breathing monitoring in health. Its utility in respiratory disease (eg, asthma) warrants further investigation.