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020 _a9783031016301
_9978-3-031-01630-1
024 7 _a10.1007/978-3-031-01630-1
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aHadjileontiadis, Hadji.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984031
245 1 0 _aLung Sounds
_h[electronic resource] :
_bAn Advanced Signal Processing Perspective /
_cby Hadji Hadjileontiadis.
250 _a1st ed. 2009.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2009.
300 _aVII, 105 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
505 0 _aThe Nature of Lung Sound Signals -- New Domains in LS Representation -- Denoising Techniques -- Reflective Implications.
520 _aLung sounds auscultation is often the first noninvasive resource for detection and discrimination of respiratory pathologies available to the physician through the use of the stethoscope. Hearing interpretation, though, was the only means of appreciation of the lung sounds diagnostic information for many decades. Nevertheless, in recent years, computerized auscultation combined with signal processing techniques has boosted the diagnostic capabilities of lung sounds. The latter were traditionally analyzed and characterized by morphological changes in the time domain using statistical measures, by spectral properties in the frequency domain using simple spectral analysis, or by nonstationary properties in a joint time-frequency domain using short-time Fourier transform. Advanced signal processing techniques, however, have emerged in the last decade, broadening the perspective in lung sounds analysis. The scope of this book is to present up-to-date signal processing techniques that have been applied to the area of lung sound analysis. It starts with a description of the nature of lung sounds and continues with the introduction of new domains in their representation, new denoising techniques, and concludes with some reflective implications, both from engineers' and physicians' perspective. Issues of nonstationarity, nonlinearity, non-Gaussianity, modeling, and classification of lung sounds are addressed with new methodologies, revealing a more realistic approach to their pragmatic nature. Advanced denoising techniques that effectively circumvent the noise presence (e.g., heart sound interference, background noise) in lung sound recordings are described, providing the physician with high-quality auscultative data. The book offers useful information both to engineers and physicians interested in bioacoustics, clearly demonstrating the current trends in lung sound analysis. Table of Contents: The Nature of Lung Sound Signals / New Domains in LS Representation / Denoising Techniques / Reflective Implications.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_984033
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
710 2 _aSpringerLink (Online service)
_984036
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031005022
776 0 8 _iPrinted edition:
_z9783031027581
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_984037
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01630-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c85605
_d85605