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The multifocal electroretinogram (mfERG) is a newly developed electrophysiological technique.In this paper,a classifi- cation method is proposed for early diagnosis of the diabetic retinopathy using mfERG data.MfERG records were obtained from eyes of healthy individuals and patients with diabetes at different stages.For each mfERG record,103 local responses were extracted.Amplitude value of each point on all the mfERG local responses was looked as one potential feature to classify the experimental subjects.Feature sub- sets were selected from the feature space by comparing the inter-intra distance.Based on the selected feature subset,Fisher’s linear classi- fiers were trained.And the final classification decision of the record was made by voting all the classifiers’ outputs.Applying the method to classify all experimental subjects,very low error rates were achieved.Some crucial properties of the diabetic retinopathy classification method are also discussed.
The multifocal electroretinogram (mfERG) is a newly developed electrophysiological technique. In this paper, a classifi cation method is proposed for early diagnosis of the diabetic retinopathy using mfERG data. MfERG records were obtained from eyes of healthy individuals and patients with diabetes at different stages.For each mfERG record, 103 local responses were extracted. Amplitude value of each point on all the mfERG local responses was looked as one potential feature to classify the experimental subjects.Feature sub- sets were selected from the feature space by comparing the inter -intra distance.Based on the selected feature subset, Fisher’s linear classi- fiers were trained. And the final classification decision of the record was made by voting all the classifiers’ outputs. Applying the method to classify all experimental subjects, very low error rates were achieved. Essential properties of the diabetic retinopathy classification method are also discussed.