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Wavelet-based filtering for the clinical evaluation of atrial fibrillation

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6 Author(s)
J. N. Watson ; Fac. of Eng. & Comput., Napier Univ. of Edinburgh, UK ; P. S. Addison ; N. Grubb ; G. R. Clegg
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Summary form only given. This paper describes the work in progress to develop a new ECG signal filtering technique to aid the clinical analysis of atrial fibrillation. The method separates the wavelet transform modulus maxima corresponding to the signal scalogram into a number of components. These groups of maxima lines are then used to reconstruct separate signals representing each of the features, including atrial fibrillation.

Published in:

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE  (Volume:1 )

Date of Conference:

2001