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시각 유발전위의 웨이블릿 변환을 이용한 녹내장안 진단 알고리즘의 제안
조진호,조희섭,신수인,성기웅,홍승표 경북대학교 전자기술연구소 2001 電子技術硏究誌 Vol.22 No.1
In this paper, an algorithms that can discriminate between normal and glaucomatous eye were proposed using discrete wavelet trnasform coeffcients taken from PRVEP. The key features of PRVEP allowing these diagnosis are peak amplitude and time from stimulus onset to peak of the evoked potentials. Level 5 approximation coefficients were extracted by Daubechies-3 wavelet and they elicit P100 latency delay which is important feature to make it possible to discriminate glaucomatous eyes from normal ones. Approximation coefficients were fed into artificial neural network ANI as input feature vectors for training and classifying test. ANN achieves high classification accuracy and the result show that proposed algorithms are promising method in clinical application.