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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 47
  3. Medical and Biological Engineering and Computing : Volume 47, Issue 4, April 2009
  4. New tracheal sound feature for apnoea analysis
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 47, Issue 12, December 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 11, November 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 10, October 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 9, September 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 8, August 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 7, July 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 6, June 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 5, May 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 4, April 2009
Mechanobiological bone growth: comparative analysis of two biomechanical modeling approaches
Mechanical interactions of cuspal-coverage designs and cement thickness in a cusp-replacing ceramic premolar restoration: a finite element study
Normal and osteoarthritic hip joint mechanical behaviour: a comparison study
Determination of the influence of stent strut thickness using the finite element method: implications for vascular injury and in-stent restenosis
The augmented RIC model of the human respiratory system
New tracheal sound feature for apnoea analysis
Independent component analysis: comparison of algorithms for the investigation of surface electrical brain activity
In patient dose reconstruction using a cine acquisition for dynamic arc radiation therapy
A new combination: scale-space filtering of projected brain activities
Improving backdrivability in geared rehabilitation robots
Relationship between salivary Chromogranin-A and stress induced by simulated monotonous driving
Tracking and time-frequency analysis on nonlinearity of tracheal sounds
Medical and Biological Engineering and Computing : Volume 47, Issue 3, March 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 2, February 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 1, January 2009
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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New tracheal sound feature for apnoea analysis

Content Provider SpringerLink
Author Kulkas, A. Huupponen, E. Virkkala, J. Tenhunen, M. Saastamoinen, A. Rauhala, E. Himanen, S. L.
Copyright Year 2009
Abstract Sleep apnoea syndrome is common in the general population and is currently underdiagnosed. The aim of the present work was to develop a new tracheal sound feature for separation of apnoea events from non-apnoea time. Ten overnight recordings from apnoea patients containing 1,107 visually scored apnoea events totalling 7 h in duration and 72 h of non-apnoea time were included in the study. The feature was designed to describe the local spectral content of the sound signal. The median, maximum and mean smoothing of different time scales were compared in the feature extraction. The feature was designed to range from 0 to 1 irrespective of tracheal sound amplitudes. This constant range could offer application of the feature without patient-specific adjustments. The overall separation of feature values during apnoea events from non-apnoea time across all patients was good, reaching 80.8%. Due to the individual differences in tracheal sound signal amplitudes, developing amplitude-independent means for screening apnoea events is beneficial.
Starting Page 405
Ending Page 412
Page Count 8
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 47
Issue Number 4
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2009-02-11
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Tracheal sound Respiratory activity Cardiac activity Discrete Fourier transform Apnoea Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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