Publication
Multi-sensor Framework for Heart Rate and Blood Oxygen Saturation Monitoring of Human Body
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | pt_PT |
| dc.contributor.advisor | Marcelino, Luís Filipe Fernandes Silva | |
| dc.contributor.advisor | Faria, Sérgio Manuel Maciel de | |
| dc.contributor.advisor | Bento, Luís Manuel Conde | |
| dc.contributor.author | Calil, Marcio Fernandes | |
| dc.date.accessioned | 2020-02-28T11:30:54Z | |
| dc.date.available | 2020-02-28T11:30:54Z | |
| dc.date.issued | 2019-12-06 | |
| dc.description.abstract | Cardiovascular diseases have been the cause of death for millions of people. Some of these deaths could be avoided if there was a signi cant increase of diagnosis for the detection of such diseases. This diagnosis, in turn, could be realized with the increased availability of robust and low-cost medical diagnostic devices. Integrated technology sensors available on wearable devices have been commonly used to read physiological data in users (patients). Particularly the pulse oximetry sensors, o ers a unique, non-invasive method that can be used to detect the severity of such diseases. This evaluation of the physical condition of the patient for certain diseases is possible due to non-invasive measurement through photoplethysmography, which allows the extraction of heart rate and oxygen saturation in the blood. Since some diseases diagnoses require simultaneous monitoring of blood oxygen saturation values at various sites in the body, a project has been developed to perform such reading of physiological data. This thesis presents the development of a systems platform based on the use of multiple pulse oximetry sensors connected to an application developed for a mobile device though a wireless connection. The purpose of this platform is to provide an easy-to-read experience of health data that can be analyzed to diagnose cardiovascular disease symptoms, aiding in an early diagnosis. The complete structure as well as the aspects of the analysis and implementation of the systems related to the proposed architecture are described in this dissertation. | pt_PT |
| dc.identifier.tid | 202449777 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.8/4731 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Project "Body distributed heart sensors" (IT/2017), and the nancial support provided by the Instituto de Telecomunica c~oes, through Funda c~ao para a Ci^encia e Tecnologia. | pt_PT |
| dc.subject | Oxygen saturation | pt_PT |
| dc.subject | Wearable sensors | pt_PT |
| dc.subject | m-Health | pt_PT |
| dc.subject | Cardiovascular diseases | pt_PT |
| dc.title | Multi-sensor Framework for Heart Rate and Blood Oxygen Saturation Monitoring of Human Body | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Engenharia Informática - Computação Móvel | pt_PT |