Fig. 5From: Machine-learning based feature selection for a non-invasive breathing change detectionExtracted features example from a COPD patient recording. a Raw pressure signal, b breathing rate, signal amplitude and ARIMA coefficients and c. Fourier transform. In a and b, dark gray areas correspond to estimated exercise timesBack to article page