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Exploring the Usage of Text-Entry as a Digital Endpoint in Parkinson’s Disease
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Autores
Orientador(es)
Resumo(s)
Neurodegenerative 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.
Descrição
Tese de mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
doenças neurodegenerativas doença de Parkinson entrada de texto diagnóstico monitorização Teses de mestrado - 2023