Elimination of ECG Artefacts in Foetal EEG Using Ensemble Average Subtraction and Wavelet Denoising Methods: A Simulation
2014 (English)In: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, Springer, 2014, 551-554 p.Conference paper (Refereed)
Biological signals recorded from surface electrodes contain interference from other signals which are not desired and should be considered as noise. Heart activity is especially present in EEG and EMG recordings as a noise. In this work, two ECG elimination methods are implemented; ensemble average subtraction (EAS) and wavelet denoising methods. Comparison of these methods has been done by use of simulated signals achieved by adding ECG to neonates EEG. The result shows successful elimination of ECG artifacts by using both methods. In general EAS method which remove estimate of all ECG components from signal is more trustable but it is also harder for implementation due to sensitivity to noise. It is also concluded that EAS behaves like a high-pass filter while wavelet denoising method acts as low-pass filter and hence the choice of one method depends on application.
Place, publisher, year, edition, pages
Springer, 2014. 551-554 p.
, IFMBE Proceedings, ISSN 1680-0737 ; 41
Biological signals, Ecg artifacts, Elimination method, Ensemble averages, Heart activities, Simulated signals, Surface electrode, Wavelet denoising method
Other Medical Engineering
IdentifiersURN: urn:nbn:se:kth:diva-136738DOI: 10.1007/978-3-319-00846-2_136ScopusID: 2-s2.0-84891305757ISBN: 978-331900845-5OAI: oai:DiVA.org:kth-136738DiVA: diva2:676938
13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013; Seville; Spain; 25 September 2013 through 28 September 2013
QC 201401132013-12-082013-12-082014-02-04Bibliographically approved