Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease

Bibliographic Details
Main Author: Morais, Ana
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10451/57475
Summary: Tese de mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de Ciências
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spelling Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Diseasedoenças neurodegenerativasdoença de Parkinsonentrada de textodiagnósticomonitorizaçãoTeses de mestrado - 2023Departamento de InformáticaTese de mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de CiênciasNeurodegenerative diseases are a group of diseases characterised by the loss of neurons and tend to be fatal. The most researched being Parkinson’s disease, some connections have been established between this disease and the use of text-entry towards its diagnosis and monitoring. With such scattered information regarding neurodegenerative diseases and text-entry, a systematic review was carried out to show which diseases have been researched in that direction, being mainly PD but also MCI and MS. The main metrics collected were flight time, hold time and pressure. As previous research did not include clinicians participation towards the design of diagnosing and monitoring tools, this dissertation went a step further and worked together with clinicians to understand their expectations on data and its visualisations. Clinicians believe that text-entry does have potential towards the diagnosis and monitoring of neurodegenerative diseases. Clinicians also provided concepts of interest against recently suggested metrics, such as apraxia, bradykinesia and dyskinesia. Finally, it was possible to understand how clinicians would deem to be the best way to view the data for the patients’ assessments.Guerreiro, TiagoRodrigues, André Filipe Pereira, 1991-Repositório da Universidade de LisboaMorais, Ana2023-05-19T10:34:09Z202320222023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/57475TID:203500903enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T14:57:13Zoai:repositorio.ulisboa.pt:10451/57475Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T03:30:07.103983Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
title Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
spellingShingle Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
Morais, Ana
doenças neurodegenerativas
doença de Parkinson
entrada de texto
diagnóstico
monitorização
Teses de mestrado - 2023
Departamento de Informática
title_short Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
title_full Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
title_fullStr Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
title_full_unstemmed Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
title_sort Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
author Morais, Ana
author_facet Morais, Ana
author_role author
dc.contributor.none.fl_str_mv Guerreiro, Tiago
Rodrigues, André Filipe Pereira, 1991-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Morais, Ana
dc.subject.por.fl_str_mv doenças neurodegenerativas
doença de Parkinson
entrada de texto
diagnóstico
monitorização
Teses de mestrado - 2023
Departamento de Informática
topic doenças neurodegenerativas
doença de Parkinson
entrada de texto
diagnóstico
monitorização
Teses de mestrado - 2023
Departamento de Informática
description Tese de mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de Ciências
publishDate 2022
dc.date.none.fl_str_mv 2022
2023-05-19T10:34:09Z
2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/57475
TID:203500903
url http://hdl.handle.net/10451/57475
identifier_str_mv TID:203500903
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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