Multifocal ERG signal analysis using structural pattern and wavelet packet analysis

Glaucoma is the second-leading cause of blindness worldwide and early diagnosis is essential to its treatment. Multifocal electroretinography (mfERG) takes simultaneous recordings of focal responses from over 100 different retinal regions and uses them to produce topographic representations of retinal response components. Multifocal electroretinography has been shown to be a useful tool for diagnosing glaucoma. In this paper, morphological analysis of the mfERG signal is combined with wavelet packet analysis to perform automatic classification of mfERG signals. By using this method in diagnosis, it is possible to obtain a sensitivity value of 0.98 and a specificity value of 0.85.