Apnea detection and respiration rate estimation through parametric modelling

An algorithm for automatic classification of respiratory signals measured using abdominal strain gauge transducer is presented. The classification algorithm was developed using a combination of a second order autoregressive modelling and a modified zero-crossing algorithm. In test simulations, the proposed algorithm was capable of separating respiratory signals accurately as either apnea, respiration, or respiration with motion artifacts.