• 作者：Jorge Rey-Martí ; nez^a ; ^{bendermh@hotmail.com} ; Julio Rama-Ló ; pez^b ; Nicolá ; s Pé ; rez-Ferná ; ndez^c ; Rafael Barona-De Guzmá ; n^d
• 关键词：Potencial evocado miog&eacute ; nico vestibular ; Red neural artificial ; Aná ; lisis matemá ; tico
• 刊名：Acta Otorrinolaringol贸gica Espa帽ola
• 出版年：2011
• 期刊代码：pca34_00016519
• 类别：med
• 出版时间：March-April 2011
• 卷：62
• 期：2
• 页码：126-131
• 文件大小：225 K

Introduction

This article presents the investigation of the clinical utility of artificial neural networks as an alternative in interpreting vestibular evoked myogenic potential (VEMP).

Methods

We developed an application that incorporates a neural network. This software reproduces and analyses the vestibular potential under study. The software also gives an estimated error for this process.

Results

The correlation obtained in this study between the neural network and an experienced human observer was always above 95%.

Conclusion

The neural network created offers useful, reliable interpretations of vestibular evoked myogenic potential, in agreement with current clinical parameters.