Identification of Respiration Types Through Respiratory Signal Derived From Clinical and Wearable Electrocardiograms.

Agnese Sbrollini Micaela Morettini Ennio Gambi Laura Burattini

Published in: IEEE open journal of engineering in medicine and biology (2023)

ECG-derived respiratory signals allow reliable identification of different respiration types even when acquired through wearable sensors, if associated to appropriate processing algorithms, such as the SBMM-based algorithm.

Keyphrases

heart rate
machine learning
deep learning
bioinformatics analysis
heart rate variability
respiratory tract
blood pressure