DocumentCode
2472497
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
fYear
2002
fDate
2002
Firstpage
277
Lastpage
278
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast
Conference_Location
Philadelphia, PA
Print_ISBN
0-7803-7419-3
Type
conf
DOI
10.1109/NEBC.2002.999573
Filename
999573
Link To Document