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IEEE Trans Biomed Eng. 2001 Jan;48(1):19-27.

Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties.

Author information

1
Signal Processing Group, Department Applied Electronics, Lund University, S-221 00 Lund, Sweden.

Abstract

Time-frequency analysis is considered for characterizing atrial fibrillation in the surface electrocardiogram (ECG). Variations in fundamental frequency of the fibrillatory waves are tracked by using different time-frequency distributions which are appropriate to short- and long-term variations. The cross Wigner-Ville distribution is found to be particularly useful for short-term analysis due to its ability to handle poor signal-to-noise ratios. In patients with chronic atrial fibrillation, substantial short-term variations exist in fibrillation frequency and variations up to 2.5 Hz can be observed within a few seconds. Although time-frequency analysis is performed independently in each lead, short-term variations in fibrillation frequency often exhibit a similar pattern in the leads V1, V2 and V3. Using different techniques for short- and long-term analysis, it is possible to reliably detect subtle long-term changes in fibrillation frequency, e.g., related to an intervention, which otherwise would have been obscured by spontaneous variations in fibrillation frequency.

PMID:
11235587
DOI:
10.1109/10.900245
[Indexed for MEDLINE]

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