Problems of neurotoxicity assessment with using of electroretinography

Abstract

Introduction. An actual problem of detection neurotoxication from getting nanoparticles into the human body in its initial stage, the identification of toxicant, determine its amount (dose) is considered. Formulation of the problem. The solving of the basic problems which encountered during improving electroretinography means and methods in its application to risk assessment person neurotoxication are considered in this article. Directions of retinographia improvement. We propose a method to improve of the standard electroretinography tools for assessment of risk of neurotoxicity. On the basis of the concept of applying with low intense pulsed light exposure on to the retina leads to a large resolution and less recovery time of the retina. A negative effect of reducing the intensity of the light obtained in the form of decrease of ratio energies of electroretino - signal to noise (ER-SNR). The application of the optimal Kalman filter to estimate the electroretinosignal in the selected from the retina its mixture with noise is based. The main results cited as simulation, and the field experiment. The statistical test of whether the alternative hypothesis achieves the predetermined significance level in order to be accepted in preference to the null hypothesis was applied. The formulas for entropy expressions in stationary and periodical correlated models of ERS are proposed. Conclusion. The results are used in development of an expert system for detecting of neurotoxicity, identification of nanoparticle type, and estimation of their dose in the nervous system of an organism, including at cases of a priori unknown particle.