Effective Removal of Baseline Wander from ECG Signals: A Comparative Study
Electrocardiogram (ECG) signal classification is an essential task to diagnose arrhythmia clinically. For effective ECG analyses, it has to be decluttered from embedded low and high frequency noise. Low frequency noise include baseline wander and high fre
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ons in Computer and Information Science
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Machine Learning, Image Processing, Network Security and Data Sciences Second International Conference, MIND 2020 Silchar, India, July 30–31, 2020 Proceedings, Part II
Communications in Computer and Information Science Commenced Publication in 2007 Founding and Former Series Editors: Simone Diniz Junqueira Barbosa, Phoebe Chen, Alfredo Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, Krishna M. Sivalingam, Dominik Ślęzak, Takashi Washio, Xiaokang Yang, and Junsong Yuan
Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
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Arup Bhattacharjee Samir Kr. Borgohain Badal Soni Gyanendra Verma Xiao-Zhi Gao (Eds.) •
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Machine Learning, Image Processing, Network Security and Data Sciences Second International Conference, MIND 2020 Silchar, India, July 30–31, 2020 Proceedings, Part II
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Editors Arup Bhattacharjee National Institute of Technology Silchar Silchar, India Badal Soni National Institute of Technology Silchar Silchar, India Xiao-Zhi Gao University of Eastern Finland Kuopio, Finland
Samir Kr. Borgohain National Institute of Technology Silchar Silchar, India Gyanendra Verma National Institute of Technology Kurukshetra Kurukshetra, India
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-15-6317-1 ISBN 978-981-15-6318-8 (eBook) https://doi.org/10.1007/978-981-15-6318-8 © Springer Nature Singapore Pte Ltd. 2020 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. The publisher remains neutral with regard to jurisdictional claims in publis
