A new neural network method for peripheral vestibular disorder recognition using VNG parameter optimisation

摘要: The peripheral vestibular disorder (VD) diagnosis is a required task to ensure the efficiency of treatment that needs complementary examinations vertigo. In clinical practice, different tests videonystagmographic (VNG) technique are used detect presence dysfunction disease. topographical this disease presents large diversity in its characteristics show mixture problems for usual etiological analysis methods. paper, we propose an automatic classification method VD by analysing and reducing VNG parameters based on determined criterion. Therefore, multilayer neural network (MNN) classifier applied dataset fundamental measurements normal patients affected VD. experimental results confirm proposed approach very interesting helpful accurate diagnostic