KEYWORDS: Rehabilitation, optic nerve, electrical stimulation, artificial neural networks, cross-validation.
نویسندگان
چکیده
The electrical stimulation of the optic nerve is investigated, as an approach to the development of a microsystems-based visual prosthesis. Non-linear prediction models, i.e. artificial neural networks, for phosphene localisation are used and show promising results. The prediction error is reduced up to 20% in comparison with linear statistical models and the error standard deviation is restrained such that the prediction accuracy is similar to the measurements accuracy. In addition, it is shown that linear methods do not suit this kind of problems.
منابع مشابه
Phosphene evaluation in a visual prosthesis with artificial neural networks
The electrical stimulation of the optic nerve is investigated, as an approach to the development of a microsystems-based visual prosthesis. Non-linear prediction models, i.e. artificial neural networks, for phosphene localisation are used and show promising results. The prediction error is reduced up to 20% in comparison with linear statistical models and the error standard deviation is restrai...
متن کاملClassification of Visual Sensations Generated Electrically in the Visual Field of the Blind
Within the framework of the OPTIVIP project, an optic nerve based visual prosthesis is being developed in order to restore partial vision to the blind. In this paper, we concentrate on the classification problem of visual sensations generated by multiple electrical stimulations. We propose to use probabilistic neural networks in order to perform Bayesian classification. Statistical sampling tec...
متن کاملEffect of Transcranial Direct Current Stimulation on Auditory-Verbal Memory in Healthy Elderly
Background and purpose: Auditory-verbal memory decreases with age. One method to compensate this weakness is transcranial direct current stimulation. The current study investigated the effect of Anodal Transcranial Direct Current Stimulation on auditory-verbal memory performance of healthy elderly people. Materials and methods: In a randomized clinical trial, 42 healthy subjects with no histor...
متن کامل"Technical Report" Performance Comparison of IHACRES Model and Artificial Neural Network to Predict the Flow of Sivand River
The accurate determination of river flow in watersheds without sufficient data is one of the major challenges in hydrology. In this regard, given the diversity of existing hydrological models, selection of an appropriate model requires evaluation of the performance of the hydrological models in each region. The objective of this study was to compare the performance of artificial neural network ...
متن کاملApplication of Discriminant, Classification Tree and Neural Network Analysis to Differentiate between Potential Glaucoma Suspects With and Without Visual Field Defects*
Purpose: This study has two objectives. The first one is to investigate the question whether it is possible to discriminate between eyes with and without a glaucomateous visual field defect based on standard ophthalmologic examinations as well as optic nerve head topographic parameters. The second objective raises the question of the ability of several suggested statistical models to generalize...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001