Loading [a11y]/accessibility-menu.js
Simple method for adaptive filtering of motion artifacts in E-textile wearable ECG sensors | IEEE Conference Publication | IEEE Xplore

Simple method for adaptive filtering of motion artifacts in E-textile wearable ECG sensors


Abstract:

In this paper, we have developed a simple method for adaptive out-filtering of the motion artifact from the electrocardiogram (ECG) obtained by using conductive textile e...Show More

Abstract:

In this paper, we have developed a simple method for adaptive out-filtering of the motion artifact from the electrocardiogram (ECG) obtained by using conductive textile electrodes. The textile electrodes were placed on the left and the right wrist to measure ECG through lead-1 configuration. The motion artifact was induced by simple hand movements. The reference signal for adaptive filtering was obtained by placing additional electrodes at one hand to capture the motion of the hand. The adaptive filtering was compared to independent component analysis (ICA) algorithm. The signal-to-noise ratio (SNR) for the adaptive filtering approach was higher than independent component analysis in most cases.
Date of Conference: 25-29 August 2015
Date Added to IEEE Xplore: 05 November 2015
ISBN Information:

ISSN Information:

PubMed ID: 26737123
Conference Location: Milan, Italy

Contact IEEE to Subscribe

References

References is not available for this document.