Linear and Nonlinear Systems
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Kamran Kiasaleh
Biological Signals Classification and Analysis
Lecture Notes in Bioengineering
More information about this series at http://www.springer.com/series/11564
Kamran Kiasaleh
Biological Signals Classification and Analysis
123
Kamran Kiasaleh Department of Electrical Engineering The University of Texas at Dallas Richardson, TX USA
ISSN 2195-271X Lecture Notes in Bioengineering ISBN 978-3-642-54878-9 DOI 10.1007/978-3-642-54879-6
ISSN 2195-2728
(electronic)
ISBN 978-3-642-54879-6
(eBook)
Library of Congress Control Number: 2015942236 Springer Heidelberg New York Dordrecht London © Springer-Verlag Berlin Heidelberg 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer-Verlag GmbH Berlin Heidelberg is part of Springer Science+Business Media (www.springer.com)
This book is dedicated to my beloved wife, Tae, and my children Brandon, Kristen, and Alison. I am forever indebted to my mother for her endless support and to my late father for his love of knowledge.
Preface
Biological systems have been known for many decades to produce measurable signals, which often reveal nontrivial information about the underlying processes at work. It is the hope of the scientific community that from the observation and processing of various biologically-generated signals one can draw unambiguous conclusions regarding the state of a biological system. This “state” is of outmost importance to a variety of applications, including disease diagnosis and detection of the onset of many deadly diseases, including heart attack, stroke, cancer, among other illnesses plaguing mankind today. This text will make an attempt to shed light on the concept of signals and systems not only from the “man-made” perspective, but also from the angle of nature-made or biologically-made viewpoint. Ultimately, the goal of this text is to enable the reader to bring to bear the vast knowledge of digital signal processing to tackle the biological signals in order to
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