Blind source separation of electrocardiographic signals using system stability criteria

Author

Monzon, J.E. ; Pisarello, M.I. ; Picaza, C.A.

Author_Institution

Univ. Nac. del Nordeste, Corrientes

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

3493

Lastpage

3495

Abstract

This paper presents a method for blind source separation (BSS) of electrocardiographic signals disturbed by noise, using the Lyapunov stability conditions for linear time invariant systems. We used records from the MIT Arrhythmia Database and in-vivo records from cardiac voluntary patients to test our signal extraction method. We quantitatively assessed the performance of our separation procedure. The method presented here compares favorably to other BSS algorithms.

Keywords

Lyapunov methods; blind source separation; electrocardiography; medical signal processing; ECG; Lyapunov stability; blind source separation; cardiac voluntary patients; electrocardiographic signals; linear time invariant systems; noise; signal extraction; system stability criteria; Blind source separation; Databases; Eigenvalues and eigenfunctions; Heart rate variability; Independent component analysis; Lyapunov method; Source separation; Stability criteria; Time invariant systems; Vectors; Blind source separation (BSS); ECG; Lyapunov; independent component analysis (ICA); stability; Algorithms; Arrhythmias, Cardiac; Artifacts; Diagnosis, Computer-Assisted; Electrocardiography; Heart Rate; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353083

Filename

4353083