Vol. 4, Issue 4 (2019)
A literature review of spike detection problem in electroencephalogram
Author(s): Shashi Prabha, Dr. Tripti Arjariya
Abstract: This work offers a preliminary study on methods for detection of spike in electroencephalogram (EEG) signals. The present research investigated recent studies on automated spike detection techniques. From 80 selected papers, we reviewed over 40 according to five indicators (year of publication, feature extraction and classification methods, performance evaluation and dataset). Since feature extraction plays a fundamental role in automatic spike detection, a comprehensive literature review indicated the wavelet-based methods as suitable approaches to address such task. In addition, we covered the main topics related to the theme, such as classifiers, data reduction techniques and performance metrics. This study provides directions to both conduct future studies and implement automated systems to assist in epilepsy diagnosis.