Aiming at the problem of sample missing for magnetic flux leakage (MFL), a data reconstruction method based on conditional autoencoder (CVAE) and generative adversarial networks (GAN) is proposed.

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.