Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/18694
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dc.contributor.advisorOliveira, Arnaldo Silva Rodrigues dept
dc.contributor.authorVerde, Fábio Luís Malhãopt
dc.date.accessioned2017-11-02T16:05:17Z-
dc.date.available2017-11-02T16:05:17Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/10773/18694-
dc.descriptionEngenharia Eletrónica e Telecomunicaçõespt
dc.description.abstractSem resumo disponivelpt
dc.description.abstractIn last decades, pulse oximetry has been one of the most signi cant technological advances in medical monitoring, with potential for diverse clinical applications. Characterized by being non-invasive, simple and economic, this technique provides real time oxygen saturation level (SpO2) and heart rate information. It is intended in the context of this thesis the development of a modular oximetry system to allow the measurement, storing, reporting and analysis of various vital signs such as the heart rate, oxygen saturation level (SpO2) and the body temperature of a user. To develop this project, the MAX30102 was chosen as the oximeter sensor. This sensor, has already all the signal blocks needed to collect all the data, making a cleaner circuit. This module has also several registers allowing the tecnical sta to con gure the sensor to operate in di erent ways in terms of energy consumption, sampling rate and resolution. To extract the body temperature, the infrared sensor MLX90614 was used. The CC1110, used in the beging of the project, and the Arduino Leonardo were used in this project and they had to receive samples, build and send data packages. A Bluetooth module was added to the microcontroller used (CC1110/Arduino) in order to enable communications to an Android mobile device. This system was rst validated using the MatLab and after that, was developed an Android mobile application, in order to receive and treat all information concerning the vital signs, showing in real time the clinical state of an user. The developed system presents a high degree of correlation in the results of heart rate and SpO2 compared to two commercial oximeters (GIMA OXY-6 e CA-MI O2-easy), used during the tests. Regarding the GIMA OXY-6, the system has an error of 2.65% and 0.28% in the values of heart rate and SpO2, repectively. Regarding the CA-MI 02-easy, the system presents an error of 1.64% and 0.29% in the values of heart rate and SpO2, respectively. Thus, with this prototype, the user can easily monitor his heart activity, SpO2 and body temperature in a reliable way.pt
dc.language.isoporpt
dc.publisherUniversidade de Aveiropt
dc.rightsopenAccesspor
dc.subjectEngenharia electrónica e telecomunicaçõespt
dc.subjectOximetriapt
dc.subjectSensorespt
dc.subjectMicrocontroladorespt
dc.titleSistema para aquisição de sinais vitais com ligação a smartphonept
dc.typemasterThesispt
thesis.degree.levelmestradopt
thesis.degree.grantorUniversidade de Aveiropt
dc.identifier.tid201934434-
Appears in Collections:UA - Dissertações de mestrado
DETI - Dissertações de mestrado

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