Synopses & Reviews
This lecture book is intended to be an accessible and comprehensive introduction to random signal processing with an emphasis on the real-world applications of biosignals. Although the material has been written and developed primarily for advanced undergraduate biomedical engineering students it will also be of interest to engineers and interested biomedical professionals of any discipline seeking an introduction to the field. Within education, most biomedical engineering programs are aimed to provide the knowledge required of a graduate student while undergraduate programs are geared toward designing circuits and of evaluating only the cardiac signals. Very few programs teach the processes with which to evaluate brainwave, sleep, respiratory sounds, heart valve sounds, electromyograms, electro-oculograms, or random signals acquired from the body. The primary goal of this lecture book is to help the reader understand the time and frequency domain processes which may be used and to evaluate random physiological signals. A secondary goal is to learn the evaluation of actual mammalian data without spending most the time writing software programs. This publication utilizes DADiSP, a digital signal processing software, from the DSP Development Corporation.
Foundations of BioSignal Processing presents the most widely used techniques in signal and system analysis. Specifically, the book is concerned with methods of characterizing signals and systems. Author Charles Lessard provides students and researchers an understanding of the time and frequency domain processes which may be used to evaluate random physiological signals such as brainwave, sleep, respiratory sounds, heart valve sounds, electromyograms, and electro-oculograms. Another aim of the book is to have the students evaluate actual mammalian data without spending most or all of their time writing software programs. Lessard recommends the DADiSP digital signal processing software, which allows students to view process steps in a real-time window with little training. Extensive programming ability is not necessary if an individual wishes to apply basic signal processing principles. However, individuals should have sufficient working knowledge of mathematics through calculus, some physiology, and be familiar with the elements of circuit theory (both loop and node equations for passive and active circuits).