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Estatística
Título: DECODING AND IHM BIOSIGNAL PROCESSING SYSTEM USING MICROCONTROLLERS
Autor(es): LEONARDO FARINA DE SOUZA DE BOTTON
Colaborador(es): WILLIAM DE SOUZA BARBOSA - Orientador
FLAVIA DE MIRANDA GONCALVES - Coorientador
Catalogação: 15/DEZ/2023 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=65481@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=65481@2
DOI: https://doi.org/10.17771/PUCRio.acad.65481
Resumo:
The paper looks at wearable devices, electronics worn as accessories next to the body, which facilitate integrated interaction with technology. These devices have played a significant role in contemporary society, offering opportunities in the acquisition and analysis of biosignals, impacting sectors such as industry, sport and medicine. The aim of this work was to develop a structure that reads biosignals and presents the data to the user, enabling third-party analysis at different distances, making monitoring easier. To do this, the Polar H10 wearable was used, which is a cardiac monitor used to acquire biosignals, the wireless connection was established using the Bluetooth protocol, a microcontroller (ESP32) was used to request data from the wearable and display the requested data on a Human-Machine Interface (HMI). The system was developed using Python to interpret and monitor the user s health data. With this, it was possible to create the interface for monitoring biosignals, bringing agility to accessing and processing this information. This interface proved to have the potential to be used in a variety of scenarios in which continuous monitoring is essential, even in different environments between the agent and the person being monitored.
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