Respiratory sound analysis for continuous positive airway pressure machines

Sungho Kaneshiro, Yasue Mitsukura, Nozomu Hamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Continuous positive airway pressure (CPAP) is a typical medical treatment for obstructive sleep apnea syndrome. Without using a small CPAP machine which are patented, we aim to design a new technique using microphone array for measuring respiratory sounds. Hence, it is necessary to obtain effective features of respiratory sounds such as, inspiration, expiration, and snoring in order to supply appropriate pressure depending on the respiratory conditions of patients. Furthermore, it is often difficult to measure only respiratory sounds separately from other environmental sounds by the use of CPAP machine operation, for example, blowing sound of subjects should be eliminated for CPAP machine. As the first step, short-time Fourier transform is applied then we can compare the sound features of inspiration and expiration observed by the microphones. Some different features can be observed in the time-frequency magnitude spectrogram. From these results, the feasibility of using inspiration and expiration features independently in a prospective detection technique.

Original languageEnglish
Title of host publicationProceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-87
Number of pages5
ISBN (Electronic)9781467387804
DOIs
Publication statusPublished - 2016 Jul 18
Event12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016 - Melaka, Malaysia
Duration: 2016 Mar 42016 Mar 6

Other

Other12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016
Country/TerritoryMalaysia
CityMelaka
Period16/3/416/3/6

Keywords

  • continuous positive airway pressure
  • obstructive sleep apnea syndrome
  • respiratory sounds

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Control and Optimization

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