Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

Dr. M. Murugappan is an Associate Professor in the Department of Electronics and Communication Engineering at Kuwait College of Science and Technology (KCST), Kuwait since 2016. He is also serving as a Visiting Professor in the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies, India since Nov 2020. He received his M.E. in Applied Electronics from Anna University, India, and Ph.D. in Mechatronic Engineering from Universiti Malaysia Perlis, Malaysia, in 2006 and 2010, respectively. Prior to joining KCST, he was working as a Senior Lecturer in the School of Mechatronics Engineering, Universiti Malaysia Perlis, Malaysia from 2010 to 2016. He has received several research awards, medals, and certificates for excellent publications and research products, and was recently listed in a ranking of the top 2 percent of scientists in the world working in experimental psychology and artificial intelligence in a study by Stanford University for two consecutive years. He received more than $750K as research grants from Malaysia, Kuwait, and the United Kingdom for continuing his research in the field of affective computing. He has published more than 125 research peer-reviewed conference proceedings papers, journal articles, and book chapters. Many of his journal articles have received several awards such as best paper, best paper of the fiscal year, and so on. Dr. Murugappan serves on the editorial boards of PLOS ONE, Human Centric Information Sciences, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics. He is the Chair of Educational Activities in the IEEE Kuwait Section and is an active reviewer for many international journals including IEEE Transactions on Multimedia, IEEE Transactions on Affective Computing, IEEE Transactions on Health Informatics, and Biomedical Signal Processing and Control. His main research interests are affective computing, affective neuroscience, Internet of Things (IoT), Internet of Medical Things (IoMT), cognitive neuroscience, brain-computer interface, neuromarketing, neuroeconomics, medical image processing, machine learning, and artificial intelligence. He has a strong record of collaboration with leading researchers in the fields of biosignal/image processing, AI, IoT, and cognitive neuroscience over the globe. Dr. Murugappan is a member of several international professional societies such as the IEEE, IET, IACSIT, IAENG, and IEI.