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English
Academic Press Inc
26 January 2026
Deep Learning for Cardiac Signal Analysis in Robotic Applications
Edited by:   , , , , , , ,
Imprint:   Academic Press Inc
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   450g
ISBN:   9780443452420
ISBN 10:   0443452423
Series:   Medical Robotics and Computer Assisted Surgery: AI-enhanced, Data-driven, and Evidence-based Approaches
Pages:   300
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Part I: Fundamental of Cardiac Signals and Deep Learning 1. The Rhythm of the Heart: Understanding Cardiac Modalities 2. Deep Learning Essentials for Cardiac Signal Processing 3. Pre-processing and Feature Extraction of Cardiac Signals 4. Case Studies from Diverse Healthcare Settings Part II: AI-Enhanced Cardiac Signal Analysis 5. Deep Learning for Arrhythmia Detection and Classification 6. Myocardial Ischemia and Infarction: Deep Learning-Based Diagnostics 7. Hypertension Monitoring and Prediction with BCG Signal Processing 8. Monitoring of Arrhythmic Fetus Using Explainable AI Part III: Integrating AI with Robotic Cardiac Surgery 9. Real-Time Cardiac Signal Integration in Robotic Surgical Systems 10. AI-Guided Robotic Cardiac Interventions: Precision and Safety 11. Intraoperative Cardiac Monitoring and Decision Support with AI 12. Post-Operative Cardiac Monitoring and Outcome Prediction 13. Future Directions and Emerging Trends in Cardiac AI and Robotic Surgery 14. XAI Techniques Applicable to Robotic Cardiac Systems

Dr. Kapil Gupta earned his Ph.D. from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Jabalpur, India. He served as an Assistant Professor in Electronics and Communication Engineering at Oriental College of Technology, Bhopal, from 2013 to 2020. He holds a B.E. with Honors in Electronics and Communication Engineering and an M.Tech. in Nano Technology. His research interests encompass signal processing in biomedical applications, time-frequency analysis, artificial intelligence, and cardiovascular systems. Dr. Gupta has published extensively in reputed journals and serves as a reviewer for IEEE and Elsevier. He has organized numerous national and international conferences and has been involved in various technical committees. Dr. Varun Bajaj is an Associate Professor in Electronics and Communication Engineering at Maulana Azad National Institute of Technology Bhopal, India, starting January 2024. Previously, he served at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur from 2014 to 2024, initially as an Assistant Professor and later as an Associate Professor. He earned his Ph.D. in Electrical Engineering from IIT Indore in 2014, following an M.Tech. in Microelectronics and VLSI Design in 2009, and a B.E. in Electronics and Communication Engineering in 2006. Dr. Bajaj holds various editorial roles, including Associate Editor for the IEEE Sensor Journal and Subject Editor-in-Chief for IET Electronics Letters. A Senior Member of IEEE since 2020, he actively reviews for numerous journals and has delivered over 50 expert talks. He has received multiple awards for his research and has been recognized among the top 2% of researchers globally by Stanford University from 2020 to 2023.

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