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[Improvement of the PERG parameters measurement accuracy in the continuous wavelet transform coefficients domain].

PURPOSE
To determine parameters of the pattern electroretinogram (PERG) waveforms in the continuous wavelet transform (CWT) coefficients domain important in more precise clinical assessment of the recordings.


MATERIAL AND METHODS
102 normal PERG recordings were studied in two age groups (< or = 50 years, > 50 years). Continuous wavelet transform analysis was performed using the MatLab 7.0 software. Various wavelets were used in the experiments. Mother wavelets selection was optimized with the criterion based on minimal scatter of the results for normal PERG waveforms.


RESULTS
Comparison with traditional, time-domain based analysis showed that determining the PERG parameters in CWT domain was achieved with better accuracy. Normal values for the test showed much less scatter. It was shown on some clinical examples (glaucomatous patients) that the sensitivity of the test was improved.


CONCLUSIONS
The CWT-based method of the PERG signal analysis is useful in clinical differentiation between normal and abnormal waveforms, particularly in objective early detection of glaucoma.