1st Edition
Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing
Chapter 1
Introduction to EEG signal recording and processing
Kritiprasanna Das, Vivek Kumar Singh, and Ram Bilas Pachori
Chapter 2
Artificial intelligence (AI)-enabled signal processing-based methods for detection of epileptic seizures using EEG signals
Abdulhamit Subasi, Muhammed Enes Subasi, Emrah Hancer
Chapter 3
Classification of Normal and Alcoholic EEG signals using signal processing and machine learning models
Fatima Faraz, Mohammad Ebad Ur Rehman, Gary Tse, Haipeng Liu
Chapter 4
Empirical Wavelet Transform and Gradient Boosted Learners for Automated Classification of Epileptic Seizures from EEG Signals
Mohd Faizan Bari, Dilip Singh Sisodia, Arti Anuragi
Chapter 5
Automated Emotion recognition from EEG signal using machine learning algorithms and its application in the field of Ambient assisted living
Rohan Mandal, Uday Maji and Saurabh Pal
Chapter 6
Automated emotion recognition from EEG signals using signal processing and machine learning techniques
Abdulhamit Subasi, Tuba Nur Subasi, Oznur Ozaltin
Chapter 7
Automatic emotion detection by EEG analysis using Graph signal processing
Ramnivas Sharma, Hemant Kumar Meena
Automated detection of Alzheimer's disease from EEG signal using signal processing and machine learning-based method
Mahbuba Ferdowsi, Haipeng Liu, Ban-Hoe Kwan , Choon-Hian Goh
Chapter 9
Title: Regularized Riemannian based Intelligent System for Dementia Screening using MEG Signals
Srikireddy Dhanunjay Reddy, Shubhangi Goyal, Tharun Kumar Reddy Bollu
Chapter 10
Detection of dementia from EEG signals using signal processing and machine learning-based techniques
Mahbuba Ferdowsi , Choon-Hian Goh , Gary Tse , Haipeng Liu
Chapter 11
Signal Processing driven Machine Learning for Cognitive task recognition using EEG
Siran Wang, Brian Lee , Gary Tse, Haipeng Liu
Chapter 12
Detection of Stress Levels during Stroop Color-Word Test using Multivariate Projection-based MUSIC Domain EWT of Multichannel EEG Signal and Machine Learning
Shaswati Dash, Rajesh Kumar Tripathy, Satrujit Mishra, Ram Bilas Pachori
Biography
Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009; and the M.Tech degree in Biomedical Engineering from the National Institute of Technology (NIT) Rourkela, Rourkela, India, in 2013; and a Ph.D. degree in machine learning for biomedical signal processing from the Indian Institute of Technology (IIT) Guwahati, Guwahati, India in 2017. He worked as an Assistant Professor at the Faculty of Engineering and Technology (FET), Siksha `O' Anusandhan Deemed to be University from March 2017 to June 2018. Since July 2018, he has worked as an Assistant Professor in the Department of Electrical and Electronics Engineering (EEE), Birla Institute of Technology and Science (BITS), Pilani, Hyderabad Campus. His research interests are machine learning, deep learning, biomedical signal processing, sensor data processing, medical image processing, and the Internet of Things (IoT) for healthcare. He has published research papers in reputed international journals and conferences. He has served as a reviewer for more than 15 scientific journals and served as a technical program committee (TPC) member in various national and international conferences. He is an associate editor for IEEE Access and Frontier in Physiology journals.
Ram Bilas Pachori received a B.E. degree with honours in electronics and communication engineering from Rajiv Gandhi Technological University, Bhopal, India, in 2001, and M.Tech. and Ph.D. degrees in electrical engineering from IIT Kanpur, India, in 2003 and 2008, respectively. Before joining the IIT Indore, India, faculty, he was a postdoctoral fellow at the Charles Delaunay Institute, University of Technology of Troyes, France (2007-2008) and an Assistant Professor at the Communication Research Center, International Institute of Information Technology, Hyderabad, India (2008-2009). He was an assistant professor (2009-2013) and an associate professor (2013-2017) at the Department of Electrical Engineering, IIT Indore, where he has now been a Professor since 2017. He is also associated with the Center for Advanced Electronics, IIT Indore. He was a visiting professor at the Department of Computer Engineering, Modeling, Electronics and Systems Engineering, University of Calabria, Rende, Italy, in July 2023; Faculty of Information & Communication Technology, University of Malta, Malta, from June 2023 to July 2023; Neural Dynamics of Visual Cognition Lab, Free University of Berlin, Germany, from July 2022 to September 2022; School of Medicine, Faculty of Health and Medical Sciences, Taylor’s University, Malaysia, from 2018 to 2019. Previously, he was a Visiting Scholar at the Intelligent Systems Research Center, Ulster University, Londonderry, UK, in December 2014. His research interests include signal and image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interface, machine learning, and artificial intelligence and the Internet of Things in health care. He is an Associate Editor of Electronics Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Biomedical Signal Processing and Control, and an Editor of IETE Technical Review. He is a Fellow of IETE, IEI, and IET. He has 307 publications: journal articles (189), conference papers (82), books (10), and book chapters (26). He has also eight patents, including one Australian patent (granted) and seven Indian patents (published). His publications have been cited approximately 15,000 times with an h-index of 66 according to Google Scholar.
