Time-frequency characterization of atrial arrhythmias using principal decomposition

Author

Stridh, M. ; Sörnmo, L. ; Meurling, C.J. ; Olsson, S.B.

Author_Institution

Dept. of Electroscience, Lund Univ., Sweden

Volume

2

fYear

2001

fDate

2001

Firstpage

1808

Abstract

A new noninvasive technique for atrial arrhythmia analysis is presented which, based on time-frequency analysis and principal decomposition, produces trends of the atrial signal characteristics using the surface ECG. New homogeneity measures are introduced in order to continuously measure how well the decomposed functions represent the atrial signals. A database containing signals from 20 patients with different atrial arrhythmias (mainly atrial fibrillation) was analyzed. It was found that the method is very well-suited for characterizing the signals and it is expected that the resulting functions may be useful for separating different arrhythmias.

Keywords

correlation methods; eigenvalues and eigenfunctions; electrocardiography; iterative methods; matrix decomposition; medical signal processing; principal component analysis; signal representation; time-frequency analysis; QRST cancellation; atrial arrhythmia analysis; atrial fibrillation; atrial tachycardia; correlation matrix; eigenvector; frequency trend; harmonics; homogeneity measures; iterative procedure; noninvasive technique; nonstationary signals; prefiltering; principal decomposition; spectral content; surface ECG; time-frequency analysis; Atrial fibrillation; Cardiology; Databases; Electrocardiography; Noninvasive treatment; Rhythm; Shape; Signal analysis; Spectral analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020572

Filename

1020572