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Submitted by Kilvya Braga (kilvyabraga@hotmail.com) on 2018-05-15T12:49:12Z No. of bitstreams: 1 LEONARDO MELO DE MEDEIROS - TESE (PPGCC) 2016.pdf: 2301452 bytes, checksum: e08b1ce490fde57cff30bef5cb8e5b0e (MD5) / Made available in DSpace on 2018-05-15T12:49:12Z (GMT). No. of bitstreams: 1 LEONARDO MELO DE MEDEIROS - TESE (PPGCC) 2016.pdf: 2301452 bytes, checksum: e08b1ce490fde57cff30bef5cb8e5b0e (MD5) Previous issue date: 2016-06-03 / Capes / Os Sistemas de Monitoramento da Saúde (SMS) possibilitam aos médicos obterem informações sobre o estado de saúde de seus pacientes. Além disso, as identificações dos sintomas das doenças podem auxiliar no diagnóstico precoce e prevenir a ocorrência de situações críticas. Para acompanhar e avaliar a saúde motora de um paciente, é necessário realizar uma avaliação motora por meio de movimentos específicos. Isto dificulta a concepção de um SMS de dados motores não-invasivo e engajados na rotina diária dos pacientes. A abordagem apresentada nesta tese, utiliza os jogos eletrônicos como fator motivacional para o fornecimento dos dados motores. Durante o jogo, o usuário é induzido a executar movimentos relevantes, de modo que um sensor de movimento possa adquiri-los e quantificá-los. Este ambiente lúdico, de jogo eletrônico, abstrai o usuário do contexto de tratamento da saúde e incentiva a execução dos movimentos de uma maneira mais natural do que a imposta por um exame clínico. Para avaliar esta abordagem, foi desenvolvido um jogo com a arquitetura proposta para identificar sintomas motores relacionadas com a Doença de Parkinson. Num estudo de caso controle, foram avaliados os movimentos angulares dos braços para quantificar as habilidades motoras desses grupos. Os dados coletados foram processados e aplicados a uma Máquina de Vetor de Suporte(SVM) para classificar a ocorrência do sintoma da bradicinesia do Parkinson. Obteve-se uma classificação com uma acurácia de 86,67% e falsos positivos de6,67%. Além disso, em um experimento para avaliação da aceitação dos usuários, 90% ficaram motivados com o jogo desenvolvido e afirmaram que integrariam o SMS em sua rotina diária. Estes resultados demonstram que a abordagem de monitoramento baseado em jogos, apresentada nesta tese, tem potencial para ser um SMS para monitoramentos dos sintomas motores. / Health Monitoring Systems (HMS) allow doctors to gain a better picture of their patient’s health status. An early identification of symptoms can support the disease’s diagnostic and prevent critical situations. In order to monitor a patient’s motor abilities, it is necessary to record and evaluate specific movements. This makes it difficult to design a HMS that non-obtrusively integrates into the patient’s daily routine. The approach presented in this thesis makes use of the motivational power of electronic games. While playing the game, the user is incited to make the relevant movements, so that an optical sensor can detect and measure them. The playful situation distracts the user from thinking about health issues and therefore encourages more natural movements with improved validity for a health examination. To evaluate this approach, a game has been developed and employed to detect Parkinson related motor symptoms. In a study with patients diagnosed as affected by the Parkinson Disease and a healthy control group, the angular movements of the arms were used to measure motor abilities. The data was then processed and applied to a Support Vector Machine (SVM) to predict, based on the detected movements, whether a subject shows Parkinson related symptoms or should be classified as healthy. The system classified the subjects with an accuracy of 86.67% and arate of 6.67% false positives. Furthermore, the use racceptance of the game-based approach was studied and showed that 90% of the users felt motivated to play the game as part of their daily routine. These results demonstrate that the game-based approach presented in this thesis has the potential to become a base for HMS that monitor motor symptoms.

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Human body temperature is an important indicator of physical performance and condition in terms of comfort, heat or cold stress. The aim of this research was to develop Temperature Sensing Fabric (TSF) for continuous temperature measurement in healthcare applications. The study covers the development and manufacture of TSF by embedding fine metallic wire into the structure of textile material using a commercial computerised knitting machine. The operational principle of TSF is based on the inherent propensity of a metal wire to respond to changes in temperature with variation in its electrical resistance. Over 60 TSF samples were developed with combinations of different sensing elements, two inlay densities and highly textured polyester yarn as the base material. TSF samples were created using either bare or insulated wires with a range of diameters from 50 to 150 μm and metal wires of nickel, copper, tungsten, and nickel coated copper. In order to investigate the Temperature-Resistance (T-R) relationship of TSF samples for calibration purposes, a customised test rig was developed and monitoring software was created in the LabVIEW environment, to record the temperature and resistance signals simultaneously. TSF samples were tested in various thermal environments, under laboratory conditions and in practical wear trials, to analyse the relationship between the temperature and resistance of the sensing fabric and to develop base line specifications such as sensitivity, resistance ratio, precision, nominal resistance, and response time; the influence of external parameters such as humidity and strain were also monitored. The regression uncertainty was found to be less than in ±0.1°C; the repeatability uncertainty was found to be less than ±0.5°C; the manufacturing uncertainty in terms of nominal resistance was found to be ± 2% from its mean. The experimental T-R relationship of TSF was validated by modelling in the thermo-electrical domain in both steady and transient states. A maximum error of 0.2°C was found between the experimental and modelled T-R relationships. TSF samples made with bare wire sensing elements showed slight variations in their resistance during strain tests, however, samples made with insulated sensing elements did not demonstrate any detectable strain-dependent-resistance error. The overall thermal response of TSF was found to be affected by basal fabric thickness and mass; the effect of RH was not found to be significant. TSF samples with higher-resistance sensing elements performed better than lower-resistance types. Furthermore, TSF samples made using insulated wire were more straightforward to manufacture because of their increased tensile strength and exhibited better sensing performance than samples made with bare wire. In all the human body wear trials, under steady-state and dynamic conditions both sensors followed the same trends and exhibited similar movement artifacts. When layers of clothing were worn over the sensors, the difference between the response of the TSF and a high-precision reference temperature were reduced by the improved isothermal conditions near the measurement site.