Brain-Machine Interface Circuits and Systems
This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit opti
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Brain-Machine Interface Circuits and Systems
Brain-Machine Interface
Amir Zjajo
Brain-Machine Interface Circuits and Systems
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Amir Zjajo Delft University of Technology Delft The Netherlands
ISBN 978-3-319-31540-9 ISBN 978-3-319-31541-6 (eBook) DOI 10.1007/978-3-319-31541-6 Library of Congress Control Number: 2016934192 © Springer International Publishing Switzerland 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To my son Viggo Alan and my daughter Emma
Acknowledgements
The author acknowledges the contributions of Dr. Rene van Leuken of Delft University of Technology, and Dr. Carlo Galuzzi of Maastricht University.
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Contents
1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Brain–Machine Interface: Circuits and Systems . . . . . . . . . . . . . . . . 2 1.2 Remarks on Current Design Practice. . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.4 Organization of the Book. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2 Neural Signal Conditioning Circuits. . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.2 Power-Efficient Neural Signal Conditioning Circuit. . . . . . . . . . . . . 18 2.3 Operational Amplifiers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.4 Experimental Results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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