Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders

1. Abnormal EEG detection using time-frequency images and convolutional neural network..- 2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis.- 3. A comparative study on EEG features for neonatal seizure detection..- 4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD).- 5. Detection of tonic-clonic seizures using scalp EEG of spectral moments..- 6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness.- 7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection.- 8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability.- 9. Automatic detection of epilepsy using CNN-GRU hybrid model.- 10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic.- 11. Wearable Real-time Epileptic Seizure Detection and Warning System.- 12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence.

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 2010-2016. 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 UK 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),