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      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

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      The right of Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, and Issam Bait Bahadur to be identified as the authors of the editorial material in this work has been asserted in accordance with law.

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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

      1  Cover

      2  Title page

      3  Copyright

      4  Preface

      5  Abbreviations

      6  Acknowledgment

      7  1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure

      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