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.
authors.affiliation: Dept. of Math., Maastricht Univ, Maastricht, The Netherlands.
authors.forename: R L M
authors.initials: RL
authors.lastname: Peelers
authors.forename: J M H
authors.initials: JM
authors.lastname: Karel
authors.forename: R L
authors.initials: RL
authors.lastname: Westra
authors.forename: S A P
authors.initials: SA
authors.lastname: Haddad
authors.forename: W A
authors.initials: WA
authors.lastname: Serdijn
mesh_terms: D000465:Algorithms; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors