Epilepsy is a life-threatening chronic disease with repeated seizures. This in effect affects the persons health. Various screening approaches such as EEG (Electroencephalogram) and MRI (Magnetic Resonance Imaging) are employed to detect the seizure patterns based on the chemical variations in the brain. In this approach, EEG is regarded as the primary diagnostic test for diagnosing epilepsy by consistently analyzing and rendering EEG signals. Manual visual diagnosis is highly laborious and cumbersome. Hence novel approaches involving Deep Learning, Machine Learning algorithms are employed for automatic detection. Here various novel approaches of deep learning are reviewed.
For Whole Article : A REVIEW ON EPILEPTIC SEIZURES DETECTION USING DEEP LEARNING
