MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization

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

Abstract

A software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency “signature” is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
Pages367-373
Volume314
ISBN (Electronic)978-3-642-11628-5
DOIs
Publication statusPublished - 1 Jan 2010
Event1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems -
Duration: 1 Jan 2010 → …

Conference

Conference1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems
Period1/01/10 → …

Keywords

    Cite this

    Batista, A. M. G., Ortigueira, M. D., & DEE Group Author (2010). MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. In IFIP Advances in Information and Communication Technology (Vol. 314, pp. 367-373) https://doi.org/10.1007/978-3-642-11628-5_40
    Batista, Arnaldo Manuel Guimarães ; Ortigueira, Manuel Duarte ; DEE Group Author. / MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. IFIP Advances in Information and Communication Technology. Vol. 314 2010. pp. 367-373
    @inproceedings{e3f847439884434d82535d3c896f0eb7,
    title = "MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization",
    abstract = "A software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency “signature” is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.",
    keywords = "Fibrillation, Cardiac Arrhythmia, Wavelets and Time-Frequency",
    author = "Batista, {Arnaldo Manuel Guimar{\~a}es} and Ortigueira, {Manuel Duarte} and {DEE Group Author}",
    year = "2010",
    month = "1",
    day = "1",
    doi = "10.1007/978-3-642-11628-5_40",
    language = "Unknown",
    isbn = "978-3-642-11627-8",
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    booktitle = "IFIP Advances in Information and Communication Technology",

    }

    Batista, AMG, Ortigueira, MD & DEE Group Author 2010, MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. in IFIP Advances in Information and Communication Technology. vol. 314, pp. 367-373, 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems, 1/01/10. https://doi.org/10.1007/978-3-642-11628-5_40

    MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. / Batista, Arnaldo Manuel Guimarães; Ortigueira, Manuel Duarte; DEE Group Author.

    IFIP Advances in Information and Communication Technology. Vol. 314 2010. p. 367-373.

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

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    Y1 - 2010/1/1

    N2 - A software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency “signature” is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.

    AB - A software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency “signature” is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.

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    KW - Cardiac Arrhythmia

    KW - Wavelets and Time-Frequency

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    BT - IFIP Advances in Information and Communication Technology

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    Batista AMG, Ortigueira MD, DEE Group Author. MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. In IFIP Advances in Information and Communication Technology. Vol. 314. 2010. p. 367-373 https://doi.org/10.1007/978-3-642-11628-5_40