Heart Rate Analysis Through Signal Processing

Authors

  • Breno Pessuti de Oliveira UniFacens
  • Danilo Ferreira Garcia de Araujo UniFacens
  • Marcos Guilherme Dias Aranha UniFacens
  • João Paulo Modanez Morais UniFacens
  • Centro Universitário Facens UniFacens
  • Eliane Crepaldi Rodrigues UniFacens

Keywords:

Heart rate, Signal processing, Real-time monitoring, Sustainability

Abstract

Heart rate is an important indicator of cardiovascular health, reflecting the body’s responses to stress and clinical conditions such as arrhythmias. This project uses sensors such as the MAX30102 integrated with Arduino to capture and process cardiac signals, enabling real-time monitoring. The system aims to quickly detect anomalies and display the data in graphs, contributing to the prevention of heart problems in various environments.

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Published

2026-03-25

How to Cite

PESSUTI DE OLIVEIRA, Breno; FERREIRA GARCIA DE ARAUJO, Danilo; DIAS ARANHA, Marcos Guilherme; MODANEZ MORAIS, João Paulo; CENTRO UNIVERSITÁRIO FACENS; CREPALDI RODRIGUES, Eliane. Heart Rate Analysis Through Signal Processing. Journal of Innovation and Science: research and application, [S. l.], v. 5, n. 2, 2026. Disponível em: https://joins.emnuvens.com.br/joins/article/view/1208. Acesso em: 11 may. 2026.

Issue

Vol. 5 No. 2 (2025): Proceedings: Plugin 2025:2

Section

SYMPOSIUM: PLUGIN

License

Copyright (c) 2026 Journal of Innovation and Science: research and application

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