1st Edition
Cardio-Respiratory Signal Processing and Classification Trends, Applications, and Future Directions
Chapter 1. Time-Frequency Analysis of ECG Signals
Sudestna Nahak, Goutam Saha
Chapter 2. Detection of Cardiac Signals Abnormalities using MUSIC and Random Subspace Methods
Muhammed Enes Subasi, Saeed Mian Qaisar, Abdulhamit Subasi
Chapter 3. ECG Signal Analysis Using Dual-Tree Complex Wavelet Transform and Bagging Ensemble Machine Learning
Abdulhamit Subasi, Tuba Nur Subasi, Saeed Mian Qaisar
Chapter 4. Heart and Respiratory Sound Expert
Rahul Lalwani, Akshada Telang, Vibha Tiwari
Chapter 5. Individual Discriminating Power Assessment of ECG Multi-Scale Entropies for Cardiovascular Disease Detection
Pedro Ribeiro, João Alexandre Marques Lobo, Pedro Miguel Rodrigues
Chapter 6. Development of a Far Infrared Thermal Sensor-based Contactless Breath Rate Measuring System with a Constraint on Resources
Sukesh Rao M, Roopa B Hegde, Sanith Bangera
Chapter 7. Electrocardiographic Signature Assessment of Post-COVID-19 Syndrome via Machine Learning Algorithms in Patients with Comorbid Cardiovascular Conditions
Pedro Ribeiro, João Alexandre Marques Lobo, Maria Inês Barbosa, Clarice Cristina Cunha de Souza, Cristine Mayara Cavalcante Camerino, Daniel Pordeus, Camila Ferreira Leite, João Paulo Madeiro, Pedro Miguel Rodrigues
Chapter 8. Real-time Deep Learning Pipeline for ECG Anomaly Detection
Yamini Niharika, Akhila, Ganesh R. Naik, Tripty Singh
Chapter 9. Analysis of Ballistocardiography for Cardiac and Respiratory Monitoring in Sleep
Lalitha Vaddadi, Yashas Nallathambi, Manju Khanna, T. V. Smitha, K.V. Nagaraja
Chapter 10. PhysioBot: A Deep Learning Chatbot for ECG–PPG Anomaly Detection
Bandi Harshitha Reddy, Gopa Pulastya, Ganesh R. Naik, Tripty Singh
Chapter 11. LLM-Facilitated Differential Diagnosis of Cardiovascular Conditions from ECG and PPG
Okesh Reddy, Mouhitha Arella, Ganesh R. Naik, Tripty Singh
Biography
Ganesh R. Naik is a globally recognized biomedical engineer and signal processing expert, ranked among the top 2% of researchers worldwide by Stanford University. He holds a PhD from RMIT University and currently serves as an Associate Professor at Torrens University Australia. A highly prolific researcher, he has edited 16 books, authored two books, and published more than 175 scientific papers. Dr. Naik is an associate editor for several prestigious journals, including IEEE Access. His career spans influential research roles at Flinders University, Western Sydney University, and the University of Technology Sydney, where he made significant contributions to sleep health and wearable technologies. His achievements have been recognized through numerous competitive fellowships, including those awarded by the Royal Academy of Engineering (UK), the Australian Government, and Germany’s Baden–Württemberg Scholarship program.
