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.

A Model of Pupillometric Signals for Studying Inherited Retinal Diseases in Childhood Population / Daniele Ermini, Rachele Fabbri, Ernesto Iadanza, Monica Gherardelli, Paolo Melillo, Leonardo Bocchi. - ELETTRONICO. - (2021), pp. 69-78. (Intervento presentato al convegno MEFDATA 2020) [10.1007/978-3-030-72805-2_5].

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

Rachele Fabbri;Ernesto Iadanza;Monica Gherardelli;Leonardo Bocchi
2021

Abstract

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.
2021
Mediterranean Forum–Data Science Conference: First International Conference, MeFDATA 2020, Sarajevo, Bosnia and Herzegovina, October 24, 2020, Revised Selected Papers
MEFDATA 2020
Goal 3: Good health and well-being for people
Daniele Ermini, Rachele Fabbri, Ernesto Iadanza, Monica Gherardelli, Paolo Melillo, Leonardo Bocchi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1237329
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