000 03899nam a22005055i 4500
001 978-3-031-01617-2
003 DE-He213
005 20240730164851.0
007 cr nn 008mamaa
008 220601s2006 sz | s |||| 0|eng d
020 _a9783031016172
_9978-3-031-01617-2
024 7 _a10.1007/978-3-031-01617-2
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aMoussavi, Zahra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986444
245 1 0 _aFundamentals of Respiratory System and Sounds Analysis
_h[electronic resource] /
_cby Zahra Moussavi.
250 _a1st ed. 2006.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2006.
300 _aVI, 60 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 _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.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_986446
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
710 2 _aSpringerLink (Online service)
_986449
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031004896
776 0 8 _iPrinted edition:
_z9783031027451
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_986451
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01617-2
912 _aZDB-2-SXSC
942 _cEBK
999 _c85956
_d85956