Wearable sensor for continuous monitoring of physiological parameters

Detalhes bibliográficos
Autor(a) principal: Miguel Maria Macedo Sampaio Álvares Ribeiro
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/127777
Resumo: Providing high quality health care to a mass population is becoming one of the great endeavors of modern society. In order to do so, there is a urge to embrace the use of new technologies that can provide comfort while ensuring the safety and reliability of traditional methods. The system hereby proposed ought to be capable of monitoring a person's vital signs therefore being very flexible regarding its application scenarios. It can be used not only in emergency wards and screening diseases but also in a home environment to monitor elderly people or young children. Furthermore, it is not exclusive to monitoring and preventing diseases, it can also be an instrument that aids sports training at high intensity levels. This product can measure a patient's heart rate and oxygen saturation levels ensuring comfort and easy usage. Another advantage when compared to traditional machines used to fit the same purpose is the fact that it is much cheaper, takes up less space and it encompasses two functional- ities that are otherwise measured with different machines. This system has two major components, an ESP32 microprocessor and a MAX30100 Pho- toPletysmoGraphy (PPG) sensor. The ESP32 module was chosen due to its computing capacity (dual-core 32-bit processor), having a WiFi module built in with full TCP/IP stack and having 3 pre-defined sleep modes to reduce power consumption. The MAX30100 sensor was picked because it is a compact and small module with simple usage. Furthermore, the goal of this disser- tation is to build this system to be energy efficient, maximizing its battery life while not compro- mising its logical correctness. The configuration chosen that produced steady results whilst consuming lowest energy possi- ble was: 37 mA of current for the IR LED, sampling frequency of 50 Hz and pulse width of 200 μs.
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spelling Wearable sensor for continuous monitoring of physiological parametersEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringProviding high quality health care to a mass population is becoming one of the great endeavors of modern society. In order to do so, there is a urge to embrace the use of new technologies that can provide comfort while ensuring the safety and reliability of traditional methods. The system hereby proposed ought to be capable of monitoring a person's vital signs therefore being very flexible regarding its application scenarios. It can be used not only in emergency wards and screening diseases but also in a home environment to monitor elderly people or young children. Furthermore, it is not exclusive to monitoring and preventing diseases, it can also be an instrument that aids sports training at high intensity levels. This product can measure a patient's heart rate and oxygen saturation levels ensuring comfort and easy usage. Another advantage when compared to traditional machines used to fit the same purpose is the fact that it is much cheaper, takes up less space and it encompasses two functional- ities that are otherwise measured with different machines. This system has two major components, an ESP32 microprocessor and a MAX30100 Pho- toPletysmoGraphy (PPG) sensor. The ESP32 module was chosen due to its computing capacity (dual-core 32-bit processor), having a WiFi module built in with full TCP/IP stack and having 3 pre-defined sleep modes to reduce power consumption. The MAX30100 sensor was picked because it is a compact and small module with simple usage. Furthermore, the goal of this disser- tation is to build this system to be energy efficient, maximizing its battery life while not compro- mising its logical correctness. The configuration chosen that produced steady results whilst consuming lowest energy possi- ble was: 37 mA of current for the IR LED, sampling frequency of 50 Hz and pulse width of 200 μs.2020-02-262020-02-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/127777TID:202593541engMiguel Maria Macedo Sampaio Álvares Ribeiroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:06:15Zoai:repositorio-aberto.up.pt:10216/127777Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:33:35.600522Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Wearable sensor for continuous monitoring of physiological parameters
title Wearable sensor for continuous monitoring of physiological parameters
spellingShingle Wearable sensor for continuous monitoring of physiological parameters
Miguel Maria Macedo Sampaio Álvares Ribeiro
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Wearable sensor for continuous monitoring of physiological parameters
title_full Wearable sensor for continuous monitoring of physiological parameters
title_fullStr Wearable sensor for continuous monitoring of physiological parameters
title_full_unstemmed Wearable sensor for continuous monitoring of physiological parameters
title_sort Wearable sensor for continuous monitoring of physiological parameters
author Miguel Maria Macedo Sampaio Álvares Ribeiro
author_facet Miguel Maria Macedo Sampaio Álvares Ribeiro
author_role author
dc.contributor.author.fl_str_mv Miguel Maria Macedo Sampaio Álvares Ribeiro
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description Providing high quality health care to a mass population is becoming one of the great endeavors of modern society. In order to do so, there is a urge to embrace the use of new technologies that can provide comfort while ensuring the safety and reliability of traditional methods. The system hereby proposed ought to be capable of monitoring a person's vital signs therefore being very flexible regarding its application scenarios. It can be used not only in emergency wards and screening diseases but also in a home environment to monitor elderly people or young children. Furthermore, it is not exclusive to monitoring and preventing diseases, it can also be an instrument that aids sports training at high intensity levels. This product can measure a patient's heart rate and oxygen saturation levels ensuring comfort and easy usage. Another advantage when compared to traditional machines used to fit the same purpose is the fact that it is much cheaper, takes up less space and it encompasses two functional- ities that are otherwise measured with different machines. This system has two major components, an ESP32 microprocessor and a MAX30100 Pho- toPletysmoGraphy (PPG) sensor. The ESP32 module was chosen due to its computing capacity (dual-core 32-bit processor), having a WiFi module built in with full TCP/IP stack and having 3 pre-defined sleep modes to reduce power consumption. The MAX30100 sensor was picked because it is a compact and small module with simple usage. Furthermore, the goal of this disser- tation is to build this system to be energy efficient, maximizing its battery life while not compro- mising its logical correctness. The configuration chosen that produced steady results whilst consuming lowest energy possi- ble was: 37 mA of current for the IR LED, sampling frequency of 50 Hz and pulse width of 200 μs.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-26
2020-02-26T00:00:00Z
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