Multiwavelet Design for Cardiac Signal Processing

R.l.M. Peeters; J.M.H. Karel; R.l. Westra; S.A.P. Haddad; W.A. Serdijn

doi:10.1109/IEMBS.2006.259733

Multiwavelet Design for Cardiac Signal Processing

R.l.M. Peeters, J.M.H. Karel, R.l. Westra, S.A.P. Haddad, W.A. Serdijn

BioMathematics and BioInformatics

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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.

Original language	English
Title of host publication	2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE
Pages	1682-1685
ISBN (Print)	1-4244-0032-5
DOIs	https://doi.org/10.1109/IEMBS.2006.259733
Publication status	Published - Aug 2006
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering Revolution In BioMedicine - Marriott Hotel at Times Square, New York, United States Duration: 31 Aug 2006 → 3 Sept 2006 Conference number: 28 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1511494

Conference

Conference	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/Territory	United States
City	New York
Period	31/08/06 → 3/09/06
Internet address	https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1511494

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10.1109/IEMBS.2006.259733

https://ieeexplore.ieee.org/document/4462094/

Cite this

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title = "Multiwavelet Design for Cardiac Signal Processing",

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.",

author = "R.l.M. Peeters and J.M.H. Karel and R.l. Westra and S.A.P. Haddad and W.A. Serdijn",

year = "2006",

month = aug,

doi = "10.1109/IEMBS.2006.259733",

language = "English",

isbn = "1-4244-0032-5",

pages = "1682--1685",

booktitle = "2006 International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : Engineering Revolution In BioMedicine ; Conference date: 31-08-2006 Through 03-09-2006",

url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1511494",

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Peeters, RLM , Karel, JMH , Westra, RL, Haddad, SAP & Serdijn, WA 2006, Multiwavelet Design for Cardiac Signal Processing. in 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp. 1682-1685, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, New York, United States, 31/08/06. https://doi.org/10.1109/IEMBS.2006.259733

TY - GEN

T1 - Multiwavelet Design for Cardiac Signal Processing

AU - Peeters, R.l.M.

AU - Karel, J.M.H.

AU - Westra, R.l.

AU - Haddad, S.A.P.

AU - Serdijn, W.A.

N1 - Conference code: 28

PY - 2006/8

Y1 - 2006/8

N2 - 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.

AB - 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.

U2 - 10.1109/IEMBS.2006.259733

DO - 10.1109/IEMBS.2006.259733

M3 - Conference article in proceeding

SN - 1-4244-0032-5

SP - 1682

EP - 1685

BT - 2006 International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE

T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 31 August 2006 through 3 September 2006

ER -

Multiwavelet Design for Cardiac Signal Processing

Abstract

Conference

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