Cardio-Respiratory Signal Processing and Classification

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.

• Chapter 1. Time-Frequency Analysis of ECG Signals. Chapter 2. Detection of Cardiac Signals Abnormalities using MUSIC and Random Subspace Methods. Chapter 3. ECG Signal Analysis Using Dual-Tree Complex Wavelet Transform and Bagging Ensemble Machine Learning. Chapter 4. Heart and Respiratory Sound Expert. Chapter 5. Individual Discriminating Power Assessment of ECG Multi-Scale Entropies for Cardiovascular Disease Detection. Chapter 6. Development of a Far Infrared Thermal Sensor-based Contactless Breath Rate Measuring System with a Constraint on Resources. Chapter 7. Electrocardiographic Signature Assessment of Post-COVID-19 Syndrome via Machine Learning Algorithms in Patients with Comorbid Cardiovascular Conditions. Chapter 8. Real-time Deep Learning Pipeline for ECG Anomaly Detection. Chapter 9. Analysis of Ballistocardiography for Cardiac and Respiratory Monitoring in Sleep. Chapter 10. PhysioBot: A Deep Learning Chatbot for ECG–PPG Anomaly Detection. Chapter 11. LLM-Facilitated Differential Diagnosis of Cardiovascular Conditions from ECG and PPG