Continuous and non-invasive respiratory rate (RR) monitoring would significantly improve patient outcomes. Currently, RR is under-recorded in clinical environments often measured by manually counting breaths. In this work, we investigate the use of signal quality quantification several neural network (NN) structures for improved estimation. We extract modulation signals from electrocardiogram (...
