Using acoustic sensors to discriminate between nasal and mouth breathing.
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.
School of Computing and Intelligent Systems, University of Ulster, Northern Ireland, UK. kj.curran@ulster.ac.uk
Kevin
K
Curran
Peng
P
Yuan
Damian
D
Coyle
D000162:Acoustics / Q000295:instrumentation; D000704:Analysis of Variance; D002245:Carbon Dioxide / Q000032:analysis; D003661:Decision Support Techniques; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods; D009055:Mouth / Q000503:physiopathology; D009058:Mouth Breathing / Q000175:diagnosis*; D009666:Nose / Q000503:physiopathology*; D012123:Pulmonary Ventilation; D012119:Respiration
D002245:Carbon Dioxide