polito.it
Politecnico di Torino (logo)

Neurological Consequences of Covid-19 - Web app design for behavioral and electrophysiological tests

Ignacio Andoni Jara Saez

Neurological Consequences of Covid-19 - Web app design for behavioral and electrophysiological tests.

Rel. Gabriella Olmo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021

[img]
Preview
PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview
Abstract:

Covid-19 infection can cause persistent symptoms, including fatigue, disorientation, concentration difficulties and memory problems, long after recovery. In the proposed project, an application was developed to obtain information about key behavioural markers indicative of neuronal integrity (sensory integration) and cognitive functioning (attention and memory) as biomarkers of Covid-19 neurological damage. This is done with an online study, in order to be able to relate the effects and severity in terms of persistent symptoms in patients who have already been infected. The application allows participants to perform a battery of tests, consisting of a series of cognitive tasks with visual and auditory stimuli. From the answers given by users, behavioural markers will be obtained, which will be recorded in the application. The purpose of this is to centralise and streamline the process of obtaining information through the use of technology. The behavioural markers to be assessed are: 1. Speed and accuracy of response to visual and auditory stimuli, 2. The ”temporal binding window” of sensory integration, 3. This paper describes the project, the methodology employed and provides details on the design. In addition, the architecture of the system and its individual parts are presented.

Relatori: Gabriella Olmo
Anno accademico: 2021/22
Tipo di pubblicazione: Elettronica
Numero di pagine: 72
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/21169
Modifica (riservato agli operatori) Modifica (riservato agli operatori)