Title :
Apnea detection and respiration rate estimation through parametric modelling
Author :
Nepal, Kundan ; Biegeleisen, Eric ; Ning, Taikang
Author_Institution :
Dept. of Eng., Trinity Coll., Hartford, CT, USA
Abstract :
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
Keywords :
medical signal processing; physiological models; pneumodynamics; sleep; abdominal strain gauge transducer; apnea detection; classification algorithm; modified zero-crossing algorithm; motion artifacts; parametric modelling; respiration rate estimation; respiratory signals separation; sleep breathing disorder; test simulations; Abdomen; Classification algorithms; Educational institutions; Frequency; Parametric statistics; Predictive models; Rhythm; Sampling methods; Sleep apnea; Strain measurement;
Conference_Titel :
Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-7419-3
DOI :
10.1109/NEBC.2002.999573
