Graphical User Interface to Acquire ECG Using MATLAB and BITalino

Nathan Guerreiro (), Luiz Ribeiro (), Mohamed Khalil Chaabani (), Luiz E. Luiz (), Maria Eugenia Dajer () and João Paulo Teixeira ()
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Nathan Guerreiro: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança (IPB)
Luiz Ribeiro: Federal Technological University of Paraná
Mohamed Khalil Chaabani: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança (IPB)
Luiz E. Luiz: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança (IPB)
Maria Eugenia Dajer: Federal University of Technology – Paraná
João Paulo Teixeira: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança (IPB)

A chapter in Health Technologies and Demographic Challenges, 2025, pp 157-165 from Springer

Abstract: Abstract This study presents a MATLAB-based graphical user interface (GUI) designed to acquire, process, and visualise electrocardiogram (ECG) signals using the BITalino platform. The interface allows users, including healthcare professionals and researchers, to interactively monitor ECG signals in real-time, providing an accessible and effective tool for cardiac assessment. The system ensures noise reduction and signal clarity using a three-electrode configuration, Butterworth, and notch filters. Results highlight the GUI’s ability to display detailed and comprehensive ECG visualizations, aiding in identifying key ECG characteristics. This work demonstrates the potential for extending the system with machine learning algorithms for automated ECG pattern recognition.

Keywords: MATLAB; Real-time monitoring; Signal processing (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-94901-2_13

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DOI: 10.1007/978-3-031-94901-2_13

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