Ferreira, Hugo AlexandreCosta, Paulo André Codorniz2025-01-1820242024http://hdl.handle.net/10400.5/97327Tese de mestrado, Engenharia Biomédica e Biofísica (Engenharia Clínica e Instrumentação Médica), 2024, Universidade de Lisboa, Faculdade de CiênciasIt is predicted that by 2029, about 73% of the world’s population will have a smartphone. Alongside many different core phone functions smartphones, the use of mobile applications as medical diagnosis and monitoring tools for physicians is becoming increasingly important in today’s day and age. Recent advancements in the medical field have led to more robust diagnosis enabling optimal patient treatment. However, the current diagnostic techniques are limited to centralized healthcare facilities, hindering the use of evidence-based diagnosis for settings where the resources are much more limited, leaving patients without a helpful method. The effort provided for this project enabled the implementation of a framework for cognitive assessment that does not require the physical presence of a patient and a physician, the creation of a mobile application using gamification concepts while being of use as a cognitive monitoring tool, and the centralization of cognitive data from all users that provides evidencebased diagnosis. The data from the users aims to be accessed by physicians to study and determine the cognitive function of a patient. The application provides multimodal sensory interactions where the focus of the user is to split his/her between different sensory inputs (visual, audio, haptic) that are linked to studies about cognitive function. This data is analyzed in order to provide insights on sensory perception and working memory’s relation with cognitive impairment. 25 participants, including cognitive impaired individuals, were put through a cognitive test to evaluate their performance, and during a period of 30 days tried out the platform. At the end they were asked to rate their cognitive abilities and rate the usability of the platform. The usability of the mobile application received a good score and the data extracted had key points that are good indicators of a framework to diagnose and monitor neurodegenerative disease patients, although due to the small number of participants there is not a definitive conclusion to be made.engAplicação MobileSmartphonePlataforma de aquisição de dadosDoenças NeurodegenerativasTeste CognitivoTeses de mestrado - 2024master thesis