Practical Signal and Image Processing in Clinical Cardiology
Modern signal and image acquisition systems used in the field of cardiology acquire, analyze, and store data digitally. Surface electrocardiography, intra-cardiac electrogram recording, echocardiograms, x-ray, magnetic resonance imaging, and computed tomo
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Jeffrey J. Goldberger • Jason Ng (Eds.)
Practical Signal and Image Processing in Clinical Cardiology
Jeffrey J. Goldberger Jason Ng Northwestern University Feinberg School of Medicine Division of Cardiology 251 East Huron Feinberg Pavilion Suite 8-503 60611 Chicago Illinois USA
ISBN: 978-1-84882-514-7
e-ISBN: 978-1-84882-515-4
DOI: 10.1007/978-1-84882-515-4 Springer Dordrecht Heidelberg London New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2010929047 © Springer-Verlag London Limited 2010 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. Product liability: The publisher can give no guarantee for information about drug dosage and application thereof contained in this book. In every individual case the respective user must check its accuracy by consulting other pharmaceutical literature. Cover design: eStudioCalamar, Figueres/Berlin Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
Wikipedia states that “Signal processing is an area of electrical engineering, systems engineering and applied mathematics that deals with operations on or analysis of signals, in either discrete or continuous time to perform useful operations on those signals.” How boring is that? But then, it goes on to say, “Signals of interest can include sound, images, time-varying measurement values and sensor data, for example, biological data such as electrocardiograms, control system signals, telecommunication transmission signals such as radio signals, and many others.” Now that is getting interesting because if you stop to think about it, we live in an era surrounded by signals. In fact, we are assailed by them. These ubiquitous devices are attached to the jacket you tried on in the department store or the book you read while drinking the espresso to ensure that you don’t leave without paying for each; they are in the windshield of the taxi as it automatically registers the bridge toll; they are a part of the identification system used to track your FedEx package and in the handheld credit card payment device to pay for the rental car. We are bombarded with signals from iPhones and BlackBerrys, from automobile dashboards warning that the trunk is open or the tires need air
