Signal detection based on lifting wavelet and its application to ECG signal processing

Koichi Kuzume, Koichi Niijima, Shigeru Takano

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This paper presents a signal detection method based on an integer-type Haar lifting wavelet transform. We apply it to electrocardiogram (EGG) signal processing. First, we propose a method for learning free parameters contained in this transform. We learn these parameters so that the ratio of a lifting wavelet coefficient to a corresponding old one is two. We utilize the value as an indicator to identify the target signal. As a practical application, we employ the method to detect characteristic waves in EGG signals. The proposed method is also suitable to make a real-time signal detection system with a small amount of hardware.

    Original languageEnglish
    Title of host publicationIASTED International Conference on Modelling Identification and Control
    EditorsM.H. Hamza, M.H. Hamza
    Pages299-303
    Number of pages5
    Publication statusPublished - 2003
    Event22nd International Conference on Modelling Identification and Control - Innsbruck, Austria
    Duration: Feb 10 2003Feb 13 2003

    Publication series

    NameIASTED International Conference on Modelling Identification and Control

    Other

    Other22nd International Conference on Modelling Identification and Control
    CountryAustria
    CityInnsbruck
    Period2/10/032/13/03

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

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