Description
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
