Analysis of spatial variation in the atrial fibrillation frequency from the multi-channel magnetocardiogram

Author

Langley, P. ; Steinhoff, U. ; Trahms, L. ; Oeff, M. ; Murray, A.

Author_Institution

Newcastle Univ., Newcastle upon Tyne, UK

fYear

2003

fDate

21-24 Sept. 2003

Firstpage

137

Lastpage

140

Abstract

During a magnetocardiography (MCG) study, a patient was recorded while in atrial fibrillation (AF), and we used this opportunity to conduct a pilot study of the spatial characteristics of the AF signal. Forty nine MCG channels were recorded. Atrial activity was isolated by the selection of a QRST-free section of AF. Fourier analysis identified the frequency characteristics of the atrial signal. Principal component analysis (PCA) was used to identify independent components in the atrial signal. Several discrete frequency peaks in the range 4 to 9 Hz were observed which were spatially grouped. PCA separated these frequencies into discrete components. The characteristics of the atrial signals may be associated with different re-entrant pathways.

Keywords

Fourier analysis; magnetocardiography; medical signal processing; principal component analysis; 4 to 9 Hz; Fourier analysis; QRST-free section; atrial activity; atrial fibrillation frequency; multi-channel magnetocardiogram; principal component analysis; re-entrant pathways; spatial variation analysis; Atrial fibrillation; Frequency; Magnetic analysis; Magnetic field measurement; Magnetic separation; Principal component analysis; Sensor arrays; Signal analysis; Signal processing; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2003

ISSN

0276-6547

Print_ISBN

0-7803-8170-X

Type

conf

DOI

10.1109/CIC.2003.1291109

Filename

1291109