Graphical user interface to acquire ECG using MATLAB and BITalino

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

http://hdl.handle.net/10198/36721

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Autores

Guerreiro, Nathan

Ribeiro, Luiz

Chaabani, Mohamed Khalil

Luiz, Luiz E.

Dajer, Maria Eugenia

Teixeira, João Paulo

Resumo(s)

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.

URI

http://hdl.handle.net/10198/36721

Citação

Guerreiro, Nathan; Ribeiro, Luiz; Chaabani, Mohamed Khalil; Luiz, Luiz E.; Dajer, Maria Eugénia; Teixeira, João Paulo (2025). Graphical user interface to acquire ECG using MATLAB and BITalino. In International Conference on Demographic Transition, Health and Technologies, ICDTHT 2025. p. 157-165. ISBN 978-303194900-5. DOI: 10.1007/978-3-031-94901-2_13