Biomedical signals and systems

EGBE 340: Biomedical signals and systems
Course Description:
Mathematical modeling and analysis of signals and systems with applications to biomedical signals. Continuous-time and discrete-time signals, linear-time invariant (LTI) systems and their properties. Z-transform and analysis of LTI systems. Frequency analysis of continuous-time signals: Fourier series and Fourier transform. Frequency analysis of discrete-time signals: discrete Fourier series and  discrete-time Fourier transform (DTFT). Frequency analysis of LTI systems. Sampling and signal reconstruction. Discrete Fourier transform (DFT) and fast Fourier transform (FFT). Digital filter design. Matlab is an integral part of the course.

Prerequisites:
SCMA 115: calculus, EGID 200: Engineering mathematics

Text books:
Proakis and Manolakis, Digital Signal Processing, 4th Ed., Prentice-Hall, 2007
Ingle and Proakis, Digital Signal Processing Using MATLAB
Eugene N. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley-Interscience, 2001
Oppenheim and Willsky, Discrete-Time Signal Processing, 2nd Ed.,1999

Grading and policies:
30% Homework and computer projects
30% Mid-term exams
40% Final exam

Instructor:
Danai Laksameethanasan, D.Sc. (Tech.)

Time:  Thursday 9-12
Place: Room R-529

Lectures:

 1  Introduction to biomedical signals  4.06.2009
 2  Continuous and Discrete time signals  18.06.2009
 3  LTI systems and its properties   
 4  z transform   
 5  Fourier series   
 6  Fourier transform   
 7  Discrete-time Fourier transform  
 8   Frequency analysis of LTI systems  
 9  Computer project presentation I   
 10  Midterm examination  
 11  Sampling    
 12  Discrete Fourier transform and FFT
  
 13  Filter design  
 14  Random signals and systems
  
 15  Computer project presentation II
  
 16  Final examination  

Exercises:
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 8

Useful links:
MATLAB help from Mathworks
An example of MATLAB codes for DSP

Source >http://sites.google.com/site/danaiii/courses/egbe340

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Biomedical Signals and Systems

Recommened Texts

Digital_Signal_Processing_proakis

😀 1.Proakis and Manolakis, Digital Signal Processing, 4th Ed., Prentice-Hall, 2007
:D 2.Ingle and Proakis, Digital Signal Processing Using MATLAB
😀 3.Eugene N. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley-Interscience, 2001
:D 4.Oppenheim and Willsky, Discrete-Time Signal Processing, 2nd Ed.,1999

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Digital Signal Processing (4th Edition) (Hardcover)
by John G. Proakis (Author), Dimitris K Manolakis (Author)

 Digital Signal Processing

 Editorial Reviews
Product Description

A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

Product Details
Hardcover: 1004 pages
Publisher: Prentice Hall; 4 edition (April 7, 2006)
Language: English
ISBN-10: 0131873741
ISBN-13: 978-0131873742

> See Sample from Goggle book

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Suggested Reading

E-Books

Biomedical Signals Analysis

Biomedical signals analysis

The development of techniques to analyze biomedical signals, such as electro-cardiograms, has dramatically affected countless lives by making possible improved noninvasive diagnosis, online monitoring of critically ill patients, and rehabilitation and sensory aids for the handicapped. Rangaraj Rangayyan supplies a practical, hands-on field guide to this constantly evolving technology in Biomedical Signal Analysis, focusing on the diagnostic challenges that medical professionals continue to face. Dr. Rangayyan applies a problem-solving approach to his study. Each chapter begins with the statement of a different biomedical signal problem, followed by a selection of real-life case studies and the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple “textbook” methods, followed by more sophisticated research approaches. The chapter concludes with one or more application solutions; illustrations of real-life biomedical signals and their derivatives are included throughout. Among the topics addressed are: Concurrent, coupled, and correlated processes, Filtering for removal of artifacts, Event detection and characterization, Frequency-domain characterization, Modeling biomedical systems, Analysis of nonstationary signals, Pattern classification and diagnostic decision. The chapters also present a number of laboratory exercises, study questions, and problems to facilitate preparation for class examinations and practical applications. Biomedical Signal Analysis provides a definitive resource for upper-level under-graduate and graduate engineering students, as well as for practicing engineers, computer scientists, information technologists, medical physicists, and data processing specialists.

> Rapidshare links
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Digital Signal Processing System Design (2nd.Edition)

Digital Signal Processing System Design

Product Description
This book combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of building and analyzing DSP systems. The hybrid programming approach allows the use of previously developed textual programming solutions to be integrated into LabVIEW’s highly interactive and visual environment, providing an easier and quicker method for building DSP systems. This book is an ideal introduction for engineers and students seeking to develop DSP systems in quick time.

Features

. The only DSP laboratory book that combines textual and graphical programming
. 12 lab experiments that incorporate C/MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature
. Lab experiments covering basic DSP implementation topics including sampling, digital filtering, fixed-point data representation, frequency domain processing
. Interesting applications using the hybrid programming approach, such as a software-defined radio system, a 4-QAM Modem, and a cochlear implant simulator
. CD providing all the lab codes

Nasser Kehtarnavaz is Professor of Electrical Engineering at University of Texas at Dallas. He has written numerous papers and five other books pertaining to signal and image processing, and regularly teaches digital signal processing laboratory courses, for which this book is intended. Among his many professional activities, he is Coeditor-in-Chief of Journal of Real-Time Image Processing, and Chair of the Dallas Chapter of the IEEE Signal Processing Society. Dr. Kehtarnavaz is a Fellow of SPIE, a Senior Member of IEEE, and a Professional Engineer.

* The only DSP project book that combines textual and graphical programming
* 12 Lab projects that incorporate MATLAB code blocks into the LabVIEW graphical programming environment via the MathScripting feature.
* Interesting applications such as the design of a cochlear implant simulator and a software-defined radio system.

Product Details
Paperback: 304 pages
Publisher: Academic Press; 2 edition (April 14, 2008)
Language: English
ISBN-10: 0123744903
ISBN-13: 978-0123744906

DL Link
Academic.Press.Digital.Signal.Processing.System.Design.2nd.Edition.Apr.2008-BBL.rar (20.7 MiB, 33 hits)
Password (if request): boykma.com
>http://rapidshare.com/files/251912481/Academic.Press.Digital.Signal.Processing.System.Design.2nd.Edition.Apr.2008-BBL.rar

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EGBE340-Charles S. Lessard_Signal Processing of Random Physiological Signals
EGBE340-Digital Signal Processing
EGBE340-Ilias G. Maglogiannis_Image and Signal Processing for Networked E-Health Applications
EGBE340-John L. Semmlow_Biosignal and Biomedical Image Processing MATLAB based Applications
EGBE340-Northrop_Analysis and Application of Analog Electronic Circuits to Biomedical Instrument

Digital_Signal_Processing__System_Analysis_and_Design

 

Digital-Signal-Processing-by-Antoneau

Digital-Signal-Processing-by-Mitra

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