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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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  • DOI: 10.1007/978-3-030-61105-7_43
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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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Correspondence to Ricardo Rodríguez-Jorge .

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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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  • Publisher Name: Springer, Cham

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