Ultra Low-Power Biomedical Signal Processing An Analog Wavelet Filte
Ultra Low-Power Biomedical Signal Processing describes signal processing methodologies and analog integrated circuit techniques for low-power biomedical systems. Physiological signals, such as the electrocardiogram (ECG), the electrocorticogram (ECoG
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Analog Circuits and Signal Processing
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Sandro A.P. Haddad Wouter A. Serdijn
Ultra Low-Power Biomedical Signal Processing An Analog Wavelet Filter Approach for Pacemakers
Sandro A.P. Haddad Freescale Semiconductor Rua James Clerk Maxwell, 400 Condominio Techno Park 13069-380 Campinas-SP Brazil [email protected]
ISBN 978-1-4020-9072-1 DOI 10.1007/978-1-4020-9073-8
Wouter A. Serdijn Delft University of Technology Electronics Research Lab. Mekelweg 4 2628 CD Delft The Netherlands [email protected]
e-ISBN 978-1-4020-9073-8
Library of Congress Control Number: 2008944291 c Springer Science + Business Media B.V. 2009 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Cover design: WMXDesign GmbH Printed on acid-free paper 9 8 7 6 5 4 3 2 1 springer.com
Foreword As microelectronics has matured in human controlled tools like computers, another era of ubiquitous microelectronics is well underway. Compact, robust and dedicated microelectronic systems are combined with actuators and sensors in an increasing number of life-critical controls. Familiar questions from computer like: “Are you sure you want to do this? (Press OK to proceed)”, are not possible in these self-contained, autonomous control systems. These embedded control systems must make immediate decisions based on whatever information is available from the provided sensors. The most challenging of these embedded control system are the devices implanted in humans. Not only do they control life-critical functions, but they have to do so under severe power and size constraints. In addition, the sensed signals are often noisy and weak, demanding complicated and computationally intensive signal processing. In spite of these challenges, cardiac pacemakers are implanted in hundreds of thousand humans every year. Some reports indicate battery lives exceeding twenty years of operation. The implantable pacemaker was first introduced in the late 1950s and has been refined and improved in a number of ways since then. This new book “Ultra Low-Power Biomedical Signal Processing – An Analog Wavelet Filter Approach for Pacemakers” by SANDRO A. P. HADDAD and WOUTER A. SERDIJN is addressing the core problems of efficient linear and nonlinear, signal processing in biomedical devices in general, with special emphasis on pacemaker electronics. The proposed analog wavelet filter approach is demonstrated to be a power efficient and flexible method for integrated pacemaker electronics. This book should be appreciated by anybody in need of power-efficient, linear and non-linear signal processing suitable for microelectronics. A balanced and un
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