Analysis and Application of Analog Electronic Circuits to Biomedical Instrumentation - Northrop
Preface
Reader Background
This text is intended for use in a classr
oom course on analysis and application
of analog electronic circuits in biomedical engineering taken by junior or
senior undergraduate students specializing in biomedical engineering. It will
also serve as a reference book for biophysics and medical students interested
in the topics. Readers are assumed to have had introductory core courses
up to the junior level in engineering mathematics, including complex algebra,
calculus, and introductory differential equations. They also should have taken
an introductory course in electronic circuits and devices. As a result of
taking these courses, readers should be familiar with systems block diagrams
and the concepts of frequency response and transfer functions; they should
be able to solve simple linear ordinary differential equations and perform
basic manipulations in linear algebra. It is also important to have an
understanding of the working principles of the various basic solid-state
devices (diodes, bipolar junction transistors, and field-effect
transistors) used in electronic circuits in biomedical applications.
Rationale
The inter
disciplinary field of biomedical engineering is demanding in that
it requires its followers to know and master not only certain engineering
skills (electronics, materials, mechanical, photonic), but also a diversity of
material in the biological sciences (anatomy, biochemistry, molecular biology,
genomics, physiology, etc.). This text was written to aid undergraduate biomedical
engineering students by helping them to understand the basic analog electronic
circuits used in signal conditioning in biomedical instrumentation. Because many
bioelectric signals are in the microvolt range, noise from electrodes, amplifiers, and the
environment is often significant compared to the signal level. This text introduces
the basic mathematical tools used to describe noise and how it propagates through
linear systems. It also describes at a basic level how signal-to-noise ratio can be improved
by signal averaging and linear filtering.
Download
*
Preface
Reader Background
This text is intended for use in a classr
oom course on analysis and application
of analog electronic circuits in biomedical engineering taken by junior or
senior undergraduate students specializing in biomedical engineering. It will
also serve as a reference book for biophysics and medical students interested
in the topics. Readers are assumed to have had introductory core courses
up to the junior level in engineering mathematics, including complex algebra,
calculus, and introductory differential equations. They also should have taken
an introductory course in electronic circuits and devices. As a result of
taking these courses, readers should be familiar with systems block diagrams
and the concepts of frequency response and transfer functions; they should
be able to solve simple linear ordinary differential equations and perform
basic manipulations in linear algebra. It is also important to have an
understanding of the working principles of the various basic solid-state
devices (diodes, bipolar junction transistors, and field-effect
transistors) used in electronic circuits in biomedical applications.
Rationale
The inter
disciplinary field of biomedical engineering is demanding in that
it requires its followers to know and master not only certain engineering
skills (electronics, materials, mechanical, photonic), but also a diversity of
material in the biological sciences (anatomy, biochemistry, molecular biology,
genomics, physiology, etc.). This text was written to aid undergraduate biomedical
engineering students by helping them to understand the basic analog electronic
circuits used in signal conditioning in biomedical instrumentation. Because many
bioelectric signals are in the microvolt range, noise from electrodes, amplifiers, and the
environment is often significant compared to the signal level. This text introduces
the basic mathematical tools used to describe noise and how it propagates through
linear systems. It also describes at a basic level how signal-to-noise ratio can be improved
by signal averaging and linear filtering.
Download
*