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.

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

1682

Lastpage

1685

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259733

Filename

4462094