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International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

3PGCIC 2020: Advances on P2P, Parallel, Grid, Cloud and Internet Computing pp 429–439Cite as

Detection of the QRS Complexity in Real Time with Bluetooth Communication

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 158)

Abstract

This paper presents the development of a data acquisition system for the detection of the QRS complexity in an electrocardiogram. The acquisition of the continuous signal has been made with the BITalino biomedical data acquisition card. The signal processing and the graphical user interface has been done on Python programming. Within the interface, the detection of the QRS complex has been performed by implementing the Hilbert transform and the adaptive threshold technique. For the evaluation of the interface, tests have been performed using the obtained signal in real time.

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Acknowledgements

This project is supported by research grant No. DSA/103.5/16/10473 awarded by PRODEP and by Evangelista Purkyně University. Title of the project - Detection of Cardiac Arrhythmia Patterns through Adaptive Analysis.

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Authors and Affiliations

  1. Jan Evangelista Purkyně University, České mládeže Street 8, 400 96, Ústí nad Labem, Czech Republic

    Ricardo Rodríguez-Jorge

  2. Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Av. del Charro 450 norte, 32310, Ciudad Juárez, Chihuahua, Mexico

    I. De León-Damas

  3. Czech Technical University in Prague, Technická 1902/4, 166 07, Prague, Czech Republic

    Jiri Bila

Authors
  1. Ricardo Rodríguez-Jorge
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  2. I. De León-Damas
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  3. Jiri Bila
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Corresponding author

Correspondence to Ricardo Rodríguez-Jorge .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Prof. Leonard Barolli

  2. Hosei University, Tokyo, Japan

    Prof. Dr. Makoto Takizawa

  3. Osaka University, Osaka, Japan

    Tomoki Yoshihisa

  4. University of Naples “Federico II”, Napoli, Italy

    Prof. Dr. Flora Amato

  5. Fukuoka Institute of Technology, Fukuoka, Japan

    Dr. Makoto Ikeda

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Rodríguez-Jorge, R., De León-Damas, I., Bila, J. (2021). Detection of the QRS Complexity in Real Time with Bluetooth Communication. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_43

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  • DOI: https://doi.org/10.1007/978-3-030-61105-7_43

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