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
CountryMalaysia
CityMelaka
Period16/3/416/3/6

Fingerprint

Acoustic waves
Microphones
Short-time Fourier Transform
Microphone Array
Spectrogram
Sleep
Blow molding
Sound
Fourier transforms
Necessary

Keywords

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

ASJC Scopus subject areas

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

Cite this

Kaneshiro, S., Mitsukura, Y., & Hamada, N. (2016). Respiratory sound analysis for continuous positive airway pressure machines. In Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016 (pp. 83-87). [7515809] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA.2016.7515809

Respiratory sound analysis for continuous positive airway pressure machines. / Kaneshiro, Sungho; Mitsukura, Yasue; Hamada, Nozomu.

Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 83-87 7515809.

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

Kaneshiro, S, Mitsukura, Y & Hamada, N 2016, Respiratory sound analysis for continuous positive airway pressure machines. in Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016., 7515809, Institute of Electrical and Electronics Engineers Inc., pp. 83-87, 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016, Melaka, Malaysia, 16/3/4. https://doi.org/10.1109/CSPA.2016.7515809
Kaneshiro S, Mitsukura Y, Hamada N. Respiratory sound analysis for continuous positive airway pressure machines. In Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 83-87. 7515809 https://doi.org/10.1109/CSPA.2016.7515809
Kaneshiro, Sungho ; Mitsukura, Yasue ; Hamada, Nozomu. / Respiratory sound analysis for continuous positive airway pressure machines. Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 83-87
@inproceedings{56d898d1f4db4bdc9c0b46e55682784f,
title = "Respiratory sound analysis for continuous positive airway pressure machines",
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.",
keywords = "continuous positive airway pressure, obstructive sleep apnea syndrome, respiratory sounds",
author = "Sungho Kaneshiro and Yasue Mitsukura and Nozomu Hamada",
year = "2016",
month = "7",
day = "18",
doi = "10.1109/CSPA.2016.7515809",
language = "English",
pages = "83--87",
booktitle = "Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Respiratory sound analysis for continuous positive airway pressure machines

AU - Kaneshiro, Sungho

AU - Mitsukura, Yasue

AU - Hamada, Nozomu

PY - 2016/7/18

Y1 - 2016/7/18

N2 - 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.

AB - 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.

KW - continuous positive airway pressure

KW - obstructive sleep apnea syndrome

KW - respiratory sounds

UR - http://www.scopus.com/inward/record.url?scp=84983534949&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84983534949&partnerID=8YFLogxK

U2 - 10.1109/CSPA.2016.7515809

DO - 10.1109/CSPA.2016.7515809

M3 - Conference contribution

AN - SCOPUS:84983534949

SP - 83

EP - 87

BT - Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -