Signal processing in respiration

A variety of signal processing algorithms may be used depending on the sensors and technologies used to capture the respiratory signal. In this lecture we will explore the main raw data pre-processing, signal filtering, time- or frequency-domain processing techniques for respiratory variable estimations, and methods for the compensation of possible sources of noise and motion artifacts.