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Respiratory sound analysis for continuous positive airway pressure machines
- Source :
- 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
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.
- Subjects :
- Sound (medical instrument)
Microphone array
medicine.diagnostic_test
Medical treatment
Computer science
Acoustics
Speech recognition
medicine.medical_treatment
020208 electrical & electronic engineering
02 engineering and technology
medicine.disease
respiratory tract diseases
Obstructive sleep apnea
03 medical and health sciences
0302 clinical medicine
otorhinolaryngologic diseases
0202 electrical engineering, electronic engineering, information engineering
medicine
Spectrogram
Expiration
Respiratory sounds
Continuous positive airway pressure
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)
- Accession number :
- edsair.doi...........ac47c9bfac2aea05af6e5d9c9123b01d
- Full Text :
- https://doi.org/10.1109/cspa.2016.7515809