Table of Contents

CHAPTER 2
Conventional Clinical Methods for Predicting Heart Disease (Pages: 23-46)
Aisha A-Mohannadi Jayakanth Kunhoth Al Anood Najeeb Somaya Al-Maadeed Kishor Kumar Sadasivuni
CHAPTER 3
Types of Biosensors and their Importance in Cardiovascular Applications (Pages: 47-79)
S. Irem Kaya Leyla Karadurmuş Ahmet Cetinkaya Goksu Ozcelikay Sibel A. Ozkan
CHAPTER 5
Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview (Pages: 109-138)
Huseyin Enes Salman Mahmoud Khatib A. A. Al-Ruweidi Hassen M. Ouakad Huseyin Cagatay Yalcin
CHAPTER 8
Applications of Machine Learning for Predicting Heart Failure (Pages: 171-188)
Sabri Boughorbel Yassine Himeur Huseyin Enes Salman Faycal Bensaali Faisal Farooq and Huseyin Cagatay Yalcin
CHAPTER 9
Machine Learning Techniques for Predicting and Managing Heart Failure (Pages: 189-226)
Dafni K. Plati Evanthia E. Tripoliti Georgia S. Karanasiou Aidonis Rammos Aris Bechlioulis Chris J. Watson Ken McDonald Mark Ledwidge Yorgos Goletsis Katerina K. Naka Dimitrios I. Fotiadis
CHAPTER 13
Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices (Pages: 295-319)
Muhammad E. H. Chowdhury Amith Khandaker Yazan Qiblawey Fahmida Haque Maymouna Ezeddin Tawsifur Rahman Nabil Ibtehaz Khandaker Reajul Islam