The dissertation by Pavlo Tymkiv, titled "Identification of Parameters of the Mathematical Model of Retinal Response to Low-Intensity Stimulation," focuses on the study of methods for processing low-intensity electroretinosignal and the development of a method for preliminary data preparation for the application of an adaptive-recursive filter. The research aims to enhance the efficiency of remote, automated control and support of the functional state of the human body through the identification of parameters in the mathematical model of the retinal response to low-intensity light stimulation. Key findings include: 1. Reducing the intensity of light stimulation in electroretinography helps decrease invasiveness and improve the effectiveness of assessing the functional state, while increasing the need for precise identification of the retinal response. 2. The application of the Hooke-Jeeves method, which combines exploratory search with cyclic variable change and sample search, significantly reduces the time required to determine the coefficients of the mathematical model, by over 120 times compared to the standard method. 3. Statistical testing and ROC analysis demonstrate that the proposed method has higher sensitivity and specificity compared to the direct search method. The dissertation contributes to the advancement of methods for processing low-intensity electroretinosignal and supports early diagnosis and risk assessment of neurotoxicity.The dissertation by Pavlo Tymkiv, titled "Identification of Parameters of the Mathematical Model of Retinal Response to Low-Intensity Stimulation," focuses on the study of methods for processing low-intensity electroretinosignal and the development of a method for preliminary data preparation for the application of an adaptive-recursive filter. The research aims to enhance the efficiency of remote, automated control and support of the functional state of the human body through the identification of parameters in the mathematical model of the retinal response to low-intensity light stimulation. Key findings include: 1. Reducing the intensity of light stimulation in electroretinography helps decrease invasiveness and improve the effectiveness of assessing the functional state, while increasing the need for precise identification of the retinal response. 2. The application of the Hooke-Jeeves method, which combines exploratory search with cyclic variable change and sample search, significantly reduces the time required to determine the coefficients of the mathematical model, by over 120 times compared to the standard method. 3. Statistical testing and ROC analysis demonstrate that the proposed method has higher sensitivity and specificity compared to the direct search method. The dissertation contributes to the advancement of methods for processing low-intensity electroretinosignal and supports early diagnosis and risk assessment of neurotoxicity.