Predicting Heart Failure
Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods
Edited by
Kishor Kumar Sadasivuni
Qatar University
Doha, Qatar
Hassen M. Ouakad
Sultan Qaboos University
Muscat, Oman
Somaya Al-Maadeed
Qatar University
Doha, Qatar
Huseyin C. Yalcin
Qatar University
Doha, Qatar
Issam Bait Bahadur
Sultan Qaboos University
Muscat, Oman
This edition first published 2022
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Library of Congress Cataloging-in-Publication Data Names: Kumar Sadasivuni, Kishor, 1986- author. Title: Predicting heart failure : invasive, non-invasive,machine learning and artificial intelligence based methods / edited by Kishor Kumar Sadasivuni, Qatar University, Doha, Qatar, [and four others]. Description: Hoboken, NJ : John Wiley & Sons, 2022. | Includes bibliographical references and index. Identifiers: LCCN 2021043721 (print) | LCCN 2021043722 (Obook) | ISBN 9781119813019 (hardback) | ISBN 9781119813026 (pdf) | ISBN 9781119813033 (epub) | ISBN 9781119813040 (ebook) Subjects: LCSH: Heart failure--Risk factors. | Heart failure--Treatment. | Heart--Diseases--Patients. Classification: LCC RC685.C53 P74 2023 (print) | LCC RC685.C53 (ebook) | DDC 616.1/29--dc23/eng/20211028 LC record available at https://lccn.loc.gov/2021043721 LC ebook record available at https://lccn.loc.gov/2021043722
Cover image: Courtesy of Kishor Kumar Sadasivuni
Cover design by Wiley
Set in 9.5/12.5pt STIXTwoText by Integra Software Services Pvt. Ltd, Pondicherry, India
Contents
1 Cover
4 Preface
8 2 Conventional Clinical Methods for Predicting Heart Disease
9 3 Types of Biosensors and their Importance in Cardiovascular Applications
10 4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors
11 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview
12 6 Artificial Intelligence Techniques in Cardiology: An Overview
13
7