EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
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Bita Mokhlesabadifarahani Vinit Kumar Gunjan
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
SpringerBriefs in Applied Sciences and Technology Forensic and Medical Bioinformatics
Series editors Amit Kumar, Hyderabad, India Allam Appa Rao, Hyderabad, India
More information about this series at http://www.springer.com/series/11910
Bita Mokhlesabadifarahani Vinit Kumar Gunjan
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
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Bita Mokhlesabadifarahani Biomedical Engineering Department Amirkabir University of Technology Tehran Iran
Vinit Kumar Gunjan Annamacharya Institute of Technology and Sciences (AITS) Rajampet India
ISSN 2196-8845 ISSN 2196-8853 (electronic) SpringerBriefs in Applied Sciences and Technology ISBN 978-981-287-319-4 ISBN 978-981-287-320-0 (eBook) DOI 10.1007/978-981-287-320-0 Library of Congress Control Number: 2014958016 Springer Singapore Heidelberg New York Dordrecht London © The Author(s) 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 Science+Business Media Singapore Pte Ltd. is part of Springer Science+Business Media (www.springer.com)
This study is dedicated to my parents; my mother, Sakineh Shirzadimokhles, and my father, Aboulfazl Rabieenejad, both of whom gave me the foundation of value, honesty and commitment towards work. Ever since then, I have been able to appreciate the value of reading and lifelong learning.
Foreword
This book is an enthusiastic contribution containing one of the best research works in the field of EMG Signal Processing. Still another element is provided by many interesting data on signal feature extraction with fuzzy network and an abundance of colourful illustrations. On top of that, there are innumerable historical vignettes that interweave fuzzy network and EMG signal processing in a very appealing way. Although the emphasis of this work is on Signal Processing
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