000			03819nam a22004215i 4500
999			_c387154 _d387154
001			387154
003			ES-MaUEC
005			20230208193407.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2009 sz | s |||| 0|eng d
020			_a9783031016301
024	7		_a10.1007/978-3-031-01630-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC76.3 _b2009 EB
100	q		_aHadjileontiadis, Hadji _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686689
245	1	0	_aLung Sounds : _bAn Advanced Signal Processing Perspective _cby Hadji Hadjileontiadis
250			_a1st edition 2009
264		1	_aCham _bSpringer International Publishing _c2009
300			_a1 recurso en línea (VII, 105 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2009
650		7	_2embne _9150609 _aProceso digital de señales
650		7	_2embne _9139084 _aBioingeniería
650		7	_2embne _9139937 _aPulmones _xSonidos
776	0	8	_iPrinted edition: _z9783031005022
776	0	8	_iPrinted edition: _z9783031027581
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01630-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI