Fundamentals Of Respiratory System And Sounds Analysis (synthesis Lectures On Biomedical Engineering)
by Zahra Moussavi /
2006 / English / PDF
4.9 MB Download
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.
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.