Automatic classification of visual evoked potentials based on wavelet decomposition
Paweł Stasiakiewicz, Andrzej Piotr Dobrowolski, Kazimierz Tomczykiewicz · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
Diagnosis of part of the visual system, that is responsible for conducting compound action potential, is generally based on visual evoked potentials generated as a result of stimulation of the eye by external light source. The condition of patient’s visual path is assessed by set of parameters that describe the time domain characteristic extremes called waves. The decision process is compound therefore diagnosis significantly depends on experience of a doctor. The authors developed a procedure – based on wavelet decomposition and linear discriminant analysis – that ensures automatic classification of visual evoked potentials. The algorithm enables to assign individual case to normal or pathological class. The proposed classifier has a 96,4% sensitivity at 10,4% probability of false alarm in a group of 220 cases and area under curve ROC equals to 0,96 which, from the medical point of view, is a very good result.