Compressive sensing for ECG signals in the presence of electromyographic noise

Author

Polania, Luisa F. ; Carrillo, Rafael E. ; Blanco-Velasco, Manuel ; Barner, Kenneth E.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA

fYear

2012

fDate

16-18 March 2012

Firstpage

295

Lastpage

296

Abstract

This paper presents a compressive sensing based method to reconstruct electrocardiogram (ECG) signals in the presence of electromyographic (EMG) noise. The symmetric α-stable (SαS) distribution is used to model the EMG interference and the proposed reconstruction algorithm is based on fractional lower-order moments to efficiently deal with the large variance of the noise. The method is validated using real data from the MIT-BIH Noise Stress Test Database.

Keywords

compressed sensing; electrocardiography; medical signal processing; noise; signal reconstruction; ECG signals; EMG interference; MIT-BIH noise stress test database; compressive sensing based method; electrocardiogram signal reconstruction; electromyographic noise; fractional lower-order moments; reconstruction algorithm; symmetric α-stable distribution; Compressed sensing; Dispersion; Electrocardiography; Electromyography; Noise; Pollution measurement; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference (NEBEC), 2012 38th Annual Northeast

Conference_Location

Philadelphia, PA

ISSN

2160-7001

Print_ISBN

978-1-4673-1141-0

Type

conf

DOI

10.1109/NEBC.2012.6207081

Filename

6207081