Title :
Multiwavelet Design for Cardiac Signal Processing
Author :
Peeters, R.L.M. ; Karel, J.M.H. ; Westra, R.L. ; Haddad, S.A.P. ; Serdijn, W.A.
Author_Institution :
Dept. of Math., Maastricht Univ.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
An approach for designing multiwavelets is introduced, for use in cardiac signal processing. The parameterization of the class of multiwavelets is in terms of associated FIR polyphase all-pass filters. Orthogonality and a balanced vanishing moment of order 1 are built into the parameterization. An optimization criterion is developed to associate the wavelets with different meaningful segments of a signal. This approach is demonstrated on the simultaneous detection of QRS-complexes and T-peaks in ECG signals
Keywords :
FIR filters; all-pass filters; electrocardiography; medical signal detection; medical signal processing; optimisation; wavelet transforms; ECG; FIR polyphase all-pass filters; QRS-complex detection; T-peak detection; cardiac signal processing; first order moment; multiwavelet design; optimization criterion; orthogonality; parameterization; signal segmentation; Cities and towns; Electrocardiography; Equations; Filter bank; Finite impulse response filter; Signal design; Signal processing; Signal resolution; USA Councils; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259733
