Feature Extraction Methods for Electroretinogram Signal Analysis: A Review

Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The extracted features are beneficial to analyze the further and compress for storage or transmission purposes. Various methods have been widely employed extract characteristics ERG signals. Methods based on time-domain, frequency-domain, time-frequency domain nonlinear chaotic feature techniques used that characterize This paper reviews several applied compares their performance under different conditions provide guidance select most appropriate method performance.