Electroencephalogram Features Based on One Dimensional Local Binary Pattern
Aimullah Taib Safie S I · International Journal of Advanced Trends in Computer Science and Engineering · 2020
This paper discusses the extraction process, to generate unique features of an Electroencephalogram (EEG) signal, using a one-dimensional local binary pattern (1D-LBP) technique.For recognition and classification application, the proposed method has been used to describe the characteristics of an EEG signal.The results of this technique have shown that the unique characteristics of the EEG signal can be obtained well.This paper also presents, an attempt to develop a common feature extraction scheme, which can be used to differentiate ECG features from various EEG signal location.