Fundamentals of Respiratory System and Sounds Analysis (Record no. 85956)

000 -LEADER
fixed length control field 03899nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-01617-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164851.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2006 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031016172
-- 978-3-031-01617-2
082 04 - CLASSIFICATION NUMBER
Call Number 620
100 1# - AUTHOR NAME
Author Moussavi, Zahra.
245 10 - TITLE STATEMENT
Title Fundamentals of Respiratory System and Sounds Analysis
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2006.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VI, 60 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Biomedical Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Anatomy 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 ## - SUMMARY, ETC.
Summary, etc Breath 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01617-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2006.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Technology and Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1930-0336
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-- ZDB-2-SXSC

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