Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298

R. R. Huamani; Jorge Rendulich Talavera; Enrique A.Soto Mendoza; Nelly M. Davila; Elvis Supo

doi:10.1109/INTERCON.2017.8079725

Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298

R. R. Huamani, Jorge Rendulich Talavera, Enrique A.Soto Mendoza, Nelly M. Davila, Elvis Supo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The quality of electrocardiogram (ECG) signal is fundamental for reliable patient diagnosis. Reality is that ECG signal will be, in most cases, corrupted with electromagnetic interference (EMI) from several sources, mainly power-line. This type of interference can be reduced with different well-known methods like IIR (infinite impulse response) notch filters and adaptive cancelling algorithms. In this work, a 60 Hz interference cancellation algorithm is applied on real ECG data, which is processed in an embedded system built on STMicroelectronics STM32F401RE Cortex M4 microcontroller, and multichannel 24-bit ADS1298 (ADC) from Texas Instruments. The performance of this embedded algorithm is calculated as interference suppression (percentage) and extracted interference from a single ADS1298 channel.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509063628
DOIs	https://doi.org/10.1109/INTERCON.2017.8079725
State	Published - 20 Oct 2017
Event	24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 - Cusco, Peru Duration: 15 Aug 2017 → 18 Aug 2017

Publication series

Name	Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017

Conference

Conference	24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
Country/Territory	Peru
City	Cusco
Period	15/08/17 → 18/08/17

Bibliographical note

Funding Information:
This research work is part of the project identified with the following document ID IBA-0020-2017-UNSA, which is supported by Ciencia Activa and Universidad Nacional de San Agustín.

Publisher Copyright:
© 2017 IEEE.

Keywords

ECG signals
embedded system
power-line interference
subtraction procedure

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10.1109/INTERCON.2017.8079725

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Huamani, R. R., Talavera, J. R., Mendoza, E. A. S., Davila, N. M., & Supo, E. (2017). Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298. In Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 [8079725] (Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON.2017.8079725

Huamani, R. R. ; Talavera, Jorge Rendulich ; Mendoza, Enrique A.Soto et al. / Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298. Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017).

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abstract = "The quality of electrocardiogram (ECG) signal is fundamental for reliable patient diagnosis. Reality is that ECG signal will be, in most cases, corrupted with electromagnetic interference (EMI) from several sources, mainly power-line. This type of interference can be reduced with different well-known methods like IIR (infinite impulse response) notch filters and adaptive cancelling algorithms. In this work, a 60 Hz interference cancellation algorithm is applied on real ECG data, which is processed in an embedded system built on STMicroelectronics STM32F401RE Cortex M4 microcontroller, and multichannel 24-bit ADS1298 (ADC) from Texas Instruments. The performance of this embedded algorithm is calculated as interference suppression (percentage) and extracted interference from a single ADS1298 channel.",

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Huamani, RR , Talavera, JR, Mendoza, EAS, Davila, NM & Supo, E 2017, Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298. in Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017., 8079725, Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017, Institute of Electrical and Electronics Engineers Inc., 24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017, Cusco, Peru, 15/08/17. https://doi.org/10.1109/INTERCON.2017.8079725

Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298. / Huamani, R. R.; Talavera, Jorge Rendulich; Mendoza, Enrique A.Soto et al.

Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8079725 (Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Huamani RR , Talavera JR, Mendoza EAS, Davila NM, Supo E. Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298. In Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8079725. (Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017). doi: 10.1109/INTERCON.2017.8079725

Implementation of a real-time 60 Hz interference cancellation algorithm for ECG signals based on ARM cortex M4 and ADS1298

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