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.
|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.|
|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
|Name||Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017|
|Conference||24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017|
|Period||15/08/17 → 18/08/17|
Bibliographical noteFunding 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.
© 2017 IEEE.
- ECG signals
- embedded system
- power-line interference
- subtraction procedure