Wavelet-based filtering for the clinical evaluation of atrial fibrillation.

Watson, J N; Addison, Paul; Grubb, N R; Clegg, Gareth R; Robertson, C E; Fox, K A A

Abstract

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.

Citation

Watson, J. N., Addison, P., Grubb, N. R., Clegg, G. R., Robertson, C. E., & Fox, K. A. A. (2001). Wavelet-based filtering for the clinical evaluation of atrial fibrillation. In 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (302). https://doi.org/10.1109/IEMBS.2001.1018919

• Conference Name: 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
• Start Date: Oct 25, 2001
• End Date: Oct 28, 2001
• Publication Date: 2001
• Deposit Date: Mar 26, 2015
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Pages: 302
• Book Title: 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
• ISBN: 0-7803-7211-5
• DOI: https://doi.org/10.1109/IEMBS.2001.1018919
• Keywords: ECG signal filtering technique; atrial fibrillation; clinical evaluation; signal scalogram; wavelet transform modulus maxima; wavelet-based filtering
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7713
• Publisher URL: http://dx.doi.org/10.1109/IEMBS.2001.1018919