Removal of peak and spike noise in EEG signals based on the analytic signal magnitude

Umberto Melia; Francesc Clariá; Montserrat Vallverdú; Pere Caminal

doi:10.1109/EMBC.2012.6346726

Removal of peak and spike noise in EEG signals based on the analytic signal magnitude

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:3523-6. doi: 10.1109/EMBC.2012.6346726.

Authors

Umberto Melia¹, Francesc Clariá, Montserrat Vallverdú, Pere Caminal

Affiliation

¹ Dept. ESAII, Centre for Biomedical Engineering Research, Universitat Politècnica de Catalunya, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain. umberto.melia@upc.edu

PMID: 23366687
DOI: 10.1109/EMBC.2012.6346726

Abstract

Peak and spike artifacts in time series represent a serious problem for signal analysis especially in biomedical field. From the last decades, different techniques have been used for their removal mainly based on adaptive filters. This work presents a new approach for removing peak and spike artifacts based on the analytic signal envelope, filtered with a low-pass filter. The proposed algorithm was tested on electroencephalogram signals containing peak and spike artifacts. Results showed that this method permitted to remove the peak and spike artifacts preserving both high correlation (ρ>0.9) and spectral coherence equation with the original signal.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Electroencephalography / methods*
Models, Theoretical