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

Detalhes bibliográficos
Autor(a) principal: Morais, Ana
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/57475
Resumo: Tese de mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de Ciências
id RCAP_ec8e6c437b1c0e7eadd62f651b8f79ce
oai_identifier_str oai:repositorio.ul.pt:10451/57475
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Diseasedoenças neurodegenerativasdoença de Parkinsonentrada de textodiagnósticomonitorizaçãoTeses de mestrado - 2022Departamento 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, Ana2023-05-19T10:34:09Z202220222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/57475enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:05:56Zoai:repositorio.ul.pt:10451/57475Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:07:58.136393Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
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 - 2022
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 - 2022
Departamento de Informática
topic doenças neurodegenerativas
doença de Parkinson
entrada de texto
diagnóstico
monitorização
Teses de mestrado - 2022
Departamento de Informática
description Tese de mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de Ciências
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022-01-01T00:00:00Z
2023-05-19T10:34:09Z
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
url http://hdl.handle.net/10451/57475
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134633693020160

Registros relacionados