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Handbook of Artificial Intelligence in Biomedical Engineering PDF

565 Pages·2020·10.796 MB·English
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HANDBOOK OF ARTIFICIAL INTELLIGENCE IN BIOMEDICAL ENGINEERING Biomedical Engineering: Techniques and Applications HANDBOOK OF ARTIFICIAL INTELLIGENCE IN BIOMEDICAL ENGINEERING Edited by Saravanan Krishnan, PhD Ramesh Kesavan, PhD B. Surendiran, PhD G. S. Mahalakshmi, PhD First edition published 2021 Apple Academic Press Inc. CRC Press 1265 Goldenrod Circle, NE, 6000 Broken Sound Parkway NW, Palm Bay, FL 32905 USA Suite 300, Boca Raton, FL 33487-2742 USA 4164 Lakeshore Road, Burlington, 2 Park Square, Milton Park, ON, L7L 1A4 Canada Abingdon, Oxon, OX14 4RN UK © 2021 Apple Academic Press, Inc. Apple Academic Press exclusively co-publishes with CRC Press, an imprint of Taylor & Francis Group, LLC Reasonable efforts have been made to publish reliable data and information, but the authors, editors, and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors, editors, and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, access www.copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. For works that are not available on CCC please contact [email protected] Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe. Library and Archives Canada Cataloguing in Publication Title: Handbook of artificial intelligence in biomedical engineering / edited by Saravanan Krishnan, PhD, Ramesh Kesavan, PhD, B. Surendiran, PhD., G. S. Mahalakshmi, PhD. Names: Saravanan, Krishnan, 1982- editor. | Kesavan, Ramesh, editor. | Surendiran, B., editor. | Mahalakshmi, G. S., editor. Series: Biomedical engineering series (Boca Raton, Fla.) Description: Series statement: Biomedical engineering: techniques and applications | Includes bibliographical references and index. Identifiers: Canadiana (print) 20200316303 | Canadiana (ebook) 20200316737 | ISBN 9781771889209 (hardcover) | ISBN 9781003045564 (ebook) Subjects: LCSH: Artificial intelligence—Medical applications. | LCSH: Biomedical engineering. Classification: LCC R859.7.A78 H36 2021 | DDC 610.28563—dc23 Library of Congress Cataloging-in-Publication Data Names: Saravanan, Krishnan, 1982- editor. | Kesavan, Ramesh, editor. | Surendiran, B., editor. | Mahalakshmi, G. S., editor. Title: Handbook of artificial intelligence in biomedical engineering / edited by Saravanan Krishnan, Ramesh Kesavan, B. Surendiran, G. S. Mahalakshmi. Other titles: Biomedical engineering (Apple Academic Press) Description: Palm Bay, FL : Apple Academic Press, [2021] | Series: Biomedical engineering: techniques and applications | Includes bibliographical references and index. | Summary: “Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students”-- Provided by publisher. Identifiers: LCCN 2020038313 (print) | LCCN 2020038314 (ebook) | ISBN 9781771889209 (hardcover) | ISBN 9781003045564 (ebook) Subjects: MESH: Artificial Intelligence | Biomedical Engineering--methods | Medical Informatics Applications Classification: LCC R855.3 (print) | LCC R855.3 (ebook) | NLM W 26.55.A7 | DDC 610.285--dc23 LC record available at https://lccn.loc.gov/2020038313 LC ebook record available at https://lccn.loc.gov/2020038314 ISBN: 978-1-77188-920-9 (hbk) ISBN: 978-1-00304-556-4 (ebk) ABOUT THE BOOK SERIES: BIOMEDICAL ENGINEERING: TECHNIQUES AND APPLICATIONS This new book series aims to cover important research issues and concepts of the biomedical engineering progress in alignment with the latest tech- nologies and applications. The books in the series include chapters on the recent research developments in the field of biomedical engineering. The series explores various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Books in the series include case studies in the fields of medical science, i.e., biomedical engineering, medical information security, interdisciplinary tools along with modern tools, and technologies used. Coverage & Approach • In-depth information about biomedical engineering along with applications. • Technical approaches in solving real-time health problems • Practical solutions through case studies in biomedical data • Health and medical data collection, monitoring, and security The editors welcome book chapters and book proposals on all topics in the biomedical engineering and associated domains, including Big Data, IoT, ML, and emerging trends and research opportunities. Book Series Editors: Raghvendra Kumar, PhD Associate Professor, Computer Science & Engineering Department, GIET University, India Email: [email protected] Vijender Kumar Solanki, PhD Associate Professor, Department of CSE, CMR Institute of Technology (Autonomous), Hyderabad, India Email: [email protected] vi About the Book Series: Biomedical Engineering: Techniques and Applications Noor Zaman, PhD School of Computing and Information Technology, Taylor’s University, Selangor, Malaysia Email: [email protected] Brojo Kishore Mishra, PhD Professor, Department of CSE, School of Engineering, GIET University, Gunupur, Osidha, India Email: [email protected] FORTHCOMING BOOKS IN THE SERIES The Congruence of IoT in Biomedical Engineering: An Emerging Field of Research in the Arena of Modern Technology Editors: Sushree Bibhuprada B. Priyadarshini, Rohit Sharma, Devendra Kumar Sharma, and Korhan Cengiz Handbook of Artificial Intelligence in Biomedical Engineering Editors: Saravanan Krishnan, Ramesh Kesavan, and B. Surendiran Handbook of Deep Learning in Biomedical Engineering and Health Informatics Editors: E. Golden Julie, S. M. Jai Sakthi, and Harold Y. Robinson Biomedical Devices for Different Health Applications Editors: Garima Srivastava and Manju Khari Handbook of Research on Emerging Paradigms for Biomedical and Rehabilitation Engineering Editors: Manuel Cardona and Cecilia García Cena High-Performance Medical Image Processing Editors: Sanjay Saxena and Sudip Paul ABOUT THE EDITORS Saravanan Krishnan, PhD, is Senior Assistant Professor in the Department of Computer Science & Engineering at Anna University, Regional Campus, Tirunelveli, Tamilnadu, India. He has 14 years of experience in academia and the IT industry and has published papers in 14 international conferences and 24 international journals. He has also written six book chapters and has edited three books with international publishers. He has conducted four research projects and two consultancy projects with the total worth of Rs.70 Lakhs. He is an active researcher and academician, and he is reviewer for many reputed journals. He also received an outstanding reviewer certificate from Elsevier, Inc. He is a Mentor of Change, for Atal Tinkering Lab of NITI Aayog, and has professional membership with several organizations. He previously worked at Cognizant Technology Solutions, Pvt Ltd. as software associate. He completed his ME (Software Engineering) in 2007 and earned his PhD in 2015. Ramesh Kesavan, PhD, is Assistant Professor in the Department of Computer Applications, Anna University Regional Campus, Tirunelveli, India. His areas of research include cloud computing, big data analytics, data mining, and machine learning. He earned his PhD degree in Computer Science from Anna University, Chennai, India. B. Surendiran, PhD, is Associate Dean (Academic) and Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Puducherry, Karaikal, India. His research interests include medical imaging, machine learning, dimensionality reduction, and intrusion detection. He has published over 20 papers in international journals and has several conference publications to his credit. He is an active reviewer for various SCI and Scopus journals. He earned his PhD at the National Institute of Technology, Tiruchirappalli, India. viii About the Editors G. S. Mahalakshmi, PhD, is Associate Professor in the Computer Science and Engineering department at College of Engineering, Guindy, Anna University, Chennai, INDIA. She has vast research experience and published 180 papers in reputed journals and international conferences. She is also deputy director for Centre for Entrepreneurship Development, Anna Univer- sity. She is active reviewer for various SCI, Scopus Journals. Her research interests include machine learning, artificial intelligence, text mining, and natural language processing. CONTENTS Contributors .......................................................................................................... xiii Abbreviations ........................................................................................................xvii Preface ................................................................................................................ xxiii 1. Design of Medical Expert Systems Using Machine Learning Techniques ...................................................................................... 1 S. Anto, S. Siamala Devi, K. R. Jothi, and R. Lokeshkumar 2. From Design Issues to Validation: Machine Learning in Biomedical Engineering............................................................................... 31 Christa I. L. Sharon and V. Suma 3. Biomedical Engineering and Informatics Using Artificial Intelligence ................................................................................... 51 K. Padmavathi and A. S. Saranya 4. Hybrid Genetic Algorithms for Biomedical Applications ........................ 73 Srividya P. and Rajendran Sindhu 5. Healthcare Applications of the Biomedical AI System ............................. 99 S. Shyni Carmel Mary and S. Sasikala 6. Applications of Artificial Intelligence in Biomedical Engineering ........ 125 Puja Sahay Prasad, Vinit Kumar Gunjan, Rashmi Pathak, and Saurabh Mukherjee 7. Biomedical Imaging Techniques Using AI Systems ................................ 147 A. Aafreen Nawresh and S. Sasikala 8. Analysis of Heart Disease Prediction Using Machine Learning Techniques .................................................................................. 173 N. Hema Priya, N. Gopikarani, and S. Shymala Gowri 9. A Review on Patient Monitoring and Diagnosis Assistance by Artificial Intelligence Tools........................................................................ 195 Sindhu Rajendran, Meghamadhuri Vakil, Rhutu Kallur, Vidhya Shree, Praveen Kumar Gupta, and Lingaiya Hiremat 10. Semantic Annotation of Healthcare Data ................................................ 217 M. Manonmani and Sarojini Balakrishanan

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