Projeto de um sistema Holter com envio de dados para armazenamento remoto via app mobile

• Autor(a) principal: Ramos, Elton Yudi Tsubouchi
• Data de Publicação: 2025
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Texto Completo: http://repositorio.utfpr.edu.br/jspui/handle/1/36380
• topic: Telecomunicações na medicina; Eletrocardiografia; Instrumentos e aparelhos médicos; Engenharia biomédica; Aplicativos móveis; Telecommunication in medicine; Electrocardiography; Medical instruments and apparatus; Biomedical engineering; Mobile apps; CNPQ::ENGENHARIAS

Telemedicine has been a rapidly growing field of study worldwide, and as a result of the Covid-19 pandemic, research and development efforts in this area have been in high demand. In particular, the remote monitoring of patients with cardiac diseases has significantly benefited from telemedicine. In electrocardiogram (ECG) exams, some anomalies, such as arrhythmia and ventricular bradycardias, among other cardiac pathologies, cannot be detected in just a few minutes. Therefore, the use of a Holter device is necessary for long-term ECG monitoring. This study proposes the development of a Holter system for ECG monitoring, where the acquired signals will be sent to a mobile device via the Bluetooth Low Energy (BLE) communication protocol and subsequently stored remotely. For the prototype implementation, low cost and high-performance components and software were used, with ECG signal acquisition performed using the ADS1293 integrated circuit—an ECG front-end capable of acquiring three ECG channels with 24-bit resolution while operating at low power consumption. The software was developed on the Black Pill V3 development kit, which features the STM32F401CCU6 microcontroller. The system is powered by a 7.4 V lithium-ion battery to ensure good durability and autonomy. The system has a maximum current consumption of 82 mA and a battery life of approximately 27 hours. Through the Android application, it is possible to view the ECG signal in real-time and send it to the real-time database (Realtime Database). The ECG signal samples sent for remote storage can also be accessed through the Android application, where each sample is labeled with the user's name, date, and time of transmission. The developed system delivered satisfactory results. However, some limitations were encountered due to the cost of high-quality components from reliable brands and the use of the free plan for the real-time database.