A Model of Pupillometric Signals for Studying Inherited Retinal Diseases in Childhood Population

Autor:	Ernesto Iadanza, Leonardo Bocchi, Daniele Ermini, Monica Gherardelli, Rachele Fabbri, Paolo Melillo
Přispěvatelé:	Jasminka Hasic Telalovic, Mehmed Kantardzic, Ermini, D., Fabbri, R., Iadanza, E., Gherardelli, M., Melillo, P., Bocchi, L.
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	education.field_of_study Computer science business.industry Population Linear model Modeling Retinal Pattern recognition Pupil Pupillometry Pupil dynamics chemistry.chemical_compound chemistry Chromatic scale Artificial intelligence education business Pupil dynamic
Zdroj:	Communications in Computer and Information Science ISBN: 9783030728045
Popis:	A cutting-edge method to assess the status of photoreceptors is represented by chromatic pupillometry, which consists in stimulating the eyes of the patients with light of different wavelengths and intensities. The signals of the dynamics of the pupil after the optical stimulations can be approximated by a 2nd-order linear model. Fitting parameters are established by a weighted least-squares algorithm, in order to achieve the correct estimate of the shape of the pupillometric data. Results presented in this work indicate that our model is able to capture the dynamics of pupillometric signals.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f60ae779054dca8529f028c6bebd022 http://hdl.handle.net/11365/1215407 Zobrazit plný text záznamu