Signals and Systems for Bioengineers (eBook)

This book guides the reader through the electrical engineering principles that can be applied to biological systems and are therefore important to biomedical studies. The basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis are explained in detail.
This textbook is perfect for the one-semester bioengineering course usually offered in conjunction with a laboratory on signals and measurements which presents the fundamentals of systems and signal analysis. The target course occupies a pivotal position in the bioengineering curriculum and will play a critical role in the future development of bioengineering students. There are extensive questions and problems that are available through a companion site to enhance the learning experience.

New to this edition:

• Reorganized to emphasize signal and system analysis
• Increased coverage of time-domain signal analysis
• Expanded coverage of biomeasurement, using examples in ultrasound and electrophysiology
• New applications in biocontrol, with examples from physiological systems modeling such as the respiratory system
• Double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools
• More Biomedical and real-world examples
• More biomedical figures throughout

For instructors using this text in their course, accompanying website includes support materials such as MATLAB data and functions needed to solve the problems, a few helpful routines, and all of the MATLAB examples. Visit www.elsevierdirect.com and search 'Semmlow.'

John Semmlow was a professor in the Department of Biomedical Engineering of Rutgers University and in the Department of Surgery of Robert Wood Johnson Medical School UMDNJ for 32 years. Over that period he published over 100 review journal articles and has been appointed a Fellow of the IEEE, the AIMBE, and the BMES. He retired in June of 2010, but still remains active in research, particularly cardiovascular diagnosis and human motor control. He is actively pursuing a 'second career' as an artist, designing and building computer controlled kinetic art: sculptures that move in interesting and intriguing ways.

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Signals and Systems for Bioengineers, Second Edition, is the only textbook that relates important electrical engineering concepts to biomedical engineering and biological studies. It explains in detail the basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis. It is perfect for the one-semester bioengineering course usually offered in conjunction with a laboratory on signals and measurements which presents the fundamentals of systems and signal analysis. The target course occupies a pivotal position in the bioengineering curriculum and will play a critical role in the future development of bioengineering students. This book provides increased coverage of time-domain signal analysis as well as biomeasurement, using examples in ultrasound and electrophysiology. It also presents new applications in biocontrol, with examples from physiological systems modeling such as the respiratory system. It contains double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools. More biomedical figures are found throughout the book. For instructors using this text in their course, an accompanying website (www.elsevierdirect.com, in Semmlow page) includes support materials such as MATLAB data and functions needed to solve the problems, a few helpful routines, and all of the MATLAB examples. Intended readers include biomedical engineering students, practicing medical technicians, mechanical engineers, and electrical engineers. Reorganized to emphasize signal and system analysis Increased coverage of time-domain signal analysis Expanded coverage of biomeasurement, using examples in ultrasound and electrophysiology New applications in biocontrol, with examples from physiological systems modeling such as the respiratory system Double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools More Biomedical and real-world examples More biomedical figures throughout