Features extraction for medical characterization of nystagmus

摘要

Vertigo is a false sense of motion; the cause of this symptom is very complex and it needs a complementary exam. In this study, a vestibular diseases analysis method is proposed from videonystagmography (VNG) applications using an estimation of pupil movements in the case of uncontrolled motion to prove an efficient and reliable diagnosis results. Firstly, we applied a robust segmentation to extract the pupil position and radius based on pupil fitting and the center of ellipse using circular Hough transform to characterize the pupil movement. Secondly, we have computed the frequency variation of nystagmus in the fast and slow phases as additional features used in our VNG analysis. Finally, significant features are selected using a Fisher linear discriminant analysis. The obtained results are very interesting since we succeeded to remediate to the problems of VNG processing like bad performance caused by the eye blinking and the little information provided by the fast phase movement. We also succeeded to raise the most significant temporal features acting in vertigo. At last, one can say that the proposed study provide high requirements for diagnosis and analysis of vestibular dysfunction causing vertigo.