Title :
Wavelet-based filtering for the clinical evaluation of atrial fibrillation
Author :
Watson, J.N. ; Addison, P.S. ; Grubb, N. ; Clegg, G.R. ; Robertson, C.E. ; Fox, K.A.A.
Author_Institution :
Fac. of Eng. & Comput., Napier Univ. of Edinburgh, UK
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.
Keywords :
electrocardiography; filtering theory; medical signal processing; signal reconstruction; wavelet transforms; ECG signal filtering technique; atrial fibrillation; clinical evaluation; signal scalogram; wavelet transform modulus maxima; wavelet-based filtering; Accidents; Atrial fibrillation; Cardiology; Clinical diagnosis; Electrocardiography; Filtering; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1018919
