Title: Using acoustic sensors to discriminate between nasal and mouth breathing

Authors: Kevin Curran; Peng Yuan; Damian Coyle

Addresses: Faculty of Computing and Engineering, School of Computing and Intelligent Systems, University of Ulster, Northern Ireland, UK ' Faculty of Computing and Engineering, School of Computing and Intelligent Systems, University of Ulster, Northern Ireland, UK ' Faculty of Computing and Engineering, School of Computing and Intelligent Systems, University of Ulster, Northern Ireland, UK

Abstract: The recommendation to change breathing patterns from the mouth to the nose can have a significantly positive impact upon the general well being of the individual. We classify nasal and mouth breathing by using an acoustic sensor and intelligent signal processing techniques. The overall purpose is to investigate the possibility of identifying the differences in patterns between nasal and mouth breathing in order to integrate this information into a decision support system which will form the basis of a patient monitoring and motivational feedback system to recommend the change from mouth to nasal breathing.

Keywords: pervasive health; respiratory monitoring; acoustic sensors; nasal breathing; mouth breathing; breathing patterns; intelligent signal processing; decision support systems; DSS; patient monitoring; motivational feedback.

DOI: 10.1504/IJBRA.2012.049623

International Journal of Bioinformatics Research and Applications, 2012 Vol.8 No.5/6, pp.382 - 396

Published online: 10 Oct 2012 *

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