Towards Automated Epileptic Seizure Detection for Lightweight Devices through EEG Signal Processing
Epileptic seizure is considered as one of the severe disorder of the nervous system. The quality of life hampered those have this disorder. An appropriate system which can detect the epilepsy will leverage thequality of life for the affected person. This paper mainly focuses on the development of a novel method to detect real-time epileptic seizure based on lightweight device such as ‘Emotiv Epoc’. Weighted Permutation Entropy (WPE) value was computed to segment and extract the features. A threshold based algorithm which optimizes the battery consumption of the epoc device has also been proposed.
