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 proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509063628
DOIs
StatePublished - 20 Oct 2017
Event24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 - Cusco, Peru
Duration: 15 Aug 201718 Aug 2017

Publication series

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

Conference

Conference24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
Country/TerritoryPeru
CityCusco
Period15/08/1718/08/17

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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