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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.

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Graphical User Interface to Acquire ECG Using MATLAB and BITalino

  • 会议论文

  • 发表日期：

    2025年

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  • Nathan Guerreiro,
  • Luiz Ribeiro,
  • Mohamed Khalil Chaabani,
  • Luiz E. Luiz,
  • Maria Eugenia Dajer,
  • João Paulo Teixeira

摘要

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.