000			03794nam a22004215i 4500
999			_c387147 _d387147
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007			cr nn 008mamaa
008			220601s2006 sz | s |||| 0|eng d
020			_a9783031016172
024	7		_a10.1007/978-3-031-01617-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC734.A94 _b2006 EB
100	1		_aKazem Moussavi, Zahra M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686681 _d1960- _q(Zahra Marjan),
245	1	0	_aFundamentals of Respiratory System and Sounds Analysis _cby Zahra Moussavi
250			_a1st edition 2006
264		1	_aCham _bSpringer International Publishing _c2006
300			_a1 recurso en línea (VI, 60 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		_aAnatomy and Physiology of Respiratory System -- The Model of Respiratory System -- Breath Sounds Recording -- Breath Sound Characteristics -- Current Research in Respiratory Acoustics -- Nonlinear Analysis of Lung Sounds for Diagnostic Purposes -- Adventitious Sound Detection -- Acoustic Mapping and Imaging of Thoracic Sounds.
520			_aBreath sounds have long been important indicators of respiratory health and disease. Acoustical monitoring of respiratory sounds has been used by researchers for various diagnostic purposes. A few decades ago, physicians relied on their hearing to detect any symptomatic signs in respiratory sounds of their patients. However, with the aid of computer technology and digital signal processing techniques in recent years, breath sound analysis has drawn much attention because of its diagnostic capabilities. Computerized respiratory sound analysis can now quantify changes in lung sounds; make permanent records of the measurements made and produce graphical representations that help with the diagnosis and treatment of patients suffering from lung diseases. Digital signal processing techniques have been widely used to derive characteristics features of the lung sounds for both diagnostic and assessment of treatment purposes. Although the analytical techniques of signal processing are largely independent of the application, interpretation of their results on biological data, i.e. respiratory sounds, requires substantial understanding of the involved physiological system. This lecture series begins with an overview of the anatomy and physiology related to human respiratory system, and proceeds to advanced research in respiratory sound analysis and modeling, and their application as diagnostic aids. Although some of the used signal processing techniques have been explained briefly, the intention of this book is not to describe the analytical methods of signal processing but the application of them and how the results can be interpreted. The book is written for engineers with university level knowledge of mathematics and digital signal processing.
988			_aSynthesis Collection of Technology_2006
650		7	_2embne _9168956 _aPulmones _xEnfermedades _xDiagnóstico
650		7	_2embne _9138569 _aAparato respiratorio _xSonidos
650		7	_2embne _9686682 _aAuscultación
776	0	8	_iPrinted edition: _z9783031004896
776	0	8	_iPrinted edition: _z9783031027451
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01617-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI