Thus, the inferred signal is processed and reconstructed using the proposed self-supervised variational autoencoder (VAE) network, called AcBreathNet (AcBNet), to obtain an accurate respiratory rate.

We validate our experiments on a synthetic dataset composed of roughly 15 million spectra. Results suggest that the Augmented AutoEncoder is the best network configuration for this task, showing ...