Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing (eBook, PDF)

Redaktion: Tripathy, Rajesh Kumar; Pachori, Ram Bilas

• Format: PDF

Produktbeschreibung

The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 226
• Erscheinungstermin: 6. Juni 2024
• Englisch
• ISBN-13: 9781040028773
• Artikelnr.: 70323314

Autorenporträt

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.

Inhaltsangabe

1. Introduction to Neural Signals and Information Systems. 2. Artificial
intelligence (AI)-enabled Signal Processing-based Methods for the Automated
Detection of Epileptic Seizures using EEG Signals. 3. Machine Learning or
Deep Learning Combined with Signal Processing for the Automated
Classification of Sleep Stages using EEG Signals. 4. Classification of
Normal and Alcoholic EEG Signals using Signal Processing and Machine
Learning Models. 5. Artificial Intelligence-enabled Signal Processing-based
Approach for the Automated Detection of Depression using EEG Signals. 6.
Detection of Sleep Disorders from EEG Signals using Signal Processing and
Machine Learning Techniques. 7. Automated Emotion Recognition from EEG
Signals using Signal Processing and Machine Learning Techniques. 8. Signal
Processing and Machine Learning-based Automated Approach for the Detection
of Parkinson's Disease using EEG Signals. 9. Automated Detection of
Alzheimer's Disease from EEG Signal using Signal Processing and Machine
Learning-based Methods. 10. Artificial Intelligence-enabled Signal
Processing-based Method for Brain-Computer Interface (BCI) Applications
using EEG Signals. 11. Detection of Dementia from EEG Signals using Signal
Processing and Machine Learning-based Techniques. 12. Signal Processing
enabled Machine Learning based Approach for Automated Recognition of
Cognitive tasks using EEG Signals.