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  • Abnormality Detection from ECG Signals Using Multiscale Wavelet Analysis

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    Stantic_2017_01Thesis.pdf (3.597Mb)
    Author(s)
    Stantic, Dejan
    Primary Supervisor
    Jo, Jun Hyung
    Other Supervisors
    Liew, Alan
    Year published
    2017
    Metadata
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    Abstract
    Cardiovascular disease is the number one cause of mortality in the western world, responsible for more than 16 million deaths annually worldwide. It can be diagnosed from Electro Cardiogram (ECG) signal, which captures the cardiac activities of the heart. Such signal apart of a large volume and velocity is often characterised by low quality due to the noise and other artefacts. In order to extract features from the ECG signal and perform the classication preprocessing, noise removal is required and it plays an important role in correct feature extraction and classication. Despite the signicant attention devoted in literature ...
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    Cardiovascular disease is the number one cause of mortality in the western world, responsible for more than 16 million deaths annually worldwide. It can be diagnosed from Electro Cardiogram (ECG) signal, which captures the cardiac activities of the heart. Such signal apart of a large volume and velocity is often characterised by low quality due to the noise and other artefacts. In order to extract features from the ECG signal and perform the classication preprocessing, noise removal is required and it plays an important role in correct feature extraction and classication. Despite the signicant attention devoted in literature to preprocessing, feature extraction and classication of ECG signal, the accuracy is still the main concern, which could be one of the reasons why medical practitioners have not yet accepted system recommendations in their diagnosis. This is clear indication that the additional work is required.
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    Thesis Type
    Thesis (PhD Doctorate)
    Degree Program
    Doctor of Philosophy (PhD)
    School
    School of Information and Communication Technology
    DOI
    https://doi.org/10.25904/1912/128
    Copyright Statement
    The author owns the copyright in this thesis, unless stated otherwise.
    Item Access Status
    Public
    Subject
    Wavelet transform
    Cardiovascular disease
    Electro Cardiogram (ECG) signal
    Multiscale wavelet analysis
    Publication URI
    http://hdl.handle.net/10072/367263
    Collection
    • Theses - Higher Degree by Research

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