According To The World Health Organization (WHO), It Is Estimated That In 2019, Epilepsy Affects Around 50 Million People Worldwide Which Is Quite Common In Childhood. The Benefits Of Early Detection And Classification Of Epileptic Seizures In Analysis, Monitoring And Diagnosis For The Realization And Actualization Of Computer-aided Devices And Recent Internet Of Medical Things (IoMT) Devices Can Never Be Overemphasized. The Success Of These Applications Largely Depends On The Accuracy Of The Detection And Classification Techniques Employed. Several Methods Have Been Investigated, Proposed And Developed Over The Years. This Paper Investigates Various Seizure Detection Algorithms And Classifications In Deep Learning Algorithms. It Also Discusses Epileptiform Detection As One Of The Steps Towards Advanced Diagnoses Of Disorders Of Consciousness (DOCs) And Their Understanding.
