Advances in Artificial Intelligence. Biomedical Engineering Applications in Signals and Imaging

Table of Contents

1. Introduction to Biomedical signals and Biomedical Imaging 2. Medical Applications of Artificial Intelligence 3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers 4. A robust to noise classification method for the heart sound signals using deep learning technique 5. Brain tumour segmentation using Advanced deep learning Techniques 6. AI in medical robotics 7. AI in medical education 8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG 9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation 10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal 11. Deep Learning for drug repurposing. 12. Explainable AI for medical applications 13. Artificial intelligence-based smart devices for biomedical applications 14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence 15. Data driven models in health care diagnosis 16. Artificial Intelligence for diabetes management 17. 2D and 3D segmentation of organs using artificial intelligence 18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence. 19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging 20. Biomedical Image Security 21. AI for Cancer Diagnosis

Authors

Kunal Pal Professor in the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Odisha, India.. Dr. Kunal Pal is currently the professor-in-charge of Medical Electronics and Instrumentation Laboratory in the Department of Biotechnology and Medical Engineering, National Institute of Technology, India. His major research interests revolve around biomedical signal processing, biomedical equipment design, soft materials, and controlled drug delivery. He has published more than 100 publications in SCI-cited journals of high repute. Bala Chakravarthy Neelapu Assistant Professor, Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. Dr. Bala Chakravarthy Neelapu has completed B.Tech in Electronics and Communication Engineering Dr. Bala Chakravarthy Neelapu is working as an assistant professor in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His area of interest is medical image processing and computer vision. He has authored more than 20 articles in SCI-indexed journals. JNTU Hyderabad in 2008, M.Tech. in Electronics and Communication Engineering from JNTU Kakinada, in 2011, and PhD in Engineering from AcSIR (Academy of Scientific and Innovative Research) at CSIR-Central Scientific Instruments Organization, Chandigarh in 2018. Currently, he is working as Assistant Professor in the Department of Biotechnology and Medical Engineering of National Institute of Technology Rourkela, India. Prior to join NIT Rourkela, he had worked as Assistant Professor at K L University, Andhra Pradesh. His area of interest is Medical Image Processing and Computer Vision. He has authored more than 10 articles in SCI indexed journals and conferences. Dr. Bala Chakravarthy has filed 2 patents in India and US and 1 of them was granted by US Patent Office. He has served as a Guest Editor of 2 reputed SCI journals and also served as a reviewer of several SCI and SCOPUS indexed journals. J. Sivaraman Assistant Professor and Principal Investigator of Bio-signals and Medical Instrumentation Laboratory, Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. Dr. J. Sivaraman is working as an assistant professor and principal investigator of Bio-signals and Medical Instrumentation Laboratory in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His research interests include electrocardiography, ECG signal analysis and processing, atrial arrhythmias such as atrial ? brillation, and signal processing for bioelectric measurements. He has authored more than 40 articles in SCI-indexed journals, conferences, and book chapters