Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device

Dorthe B Nielsena, Kenneth Egstrup, Jens Branebjerg, Gunnar Andersen, Helge B D Sorensen

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    Resumé

    We have designed and optimized an automatic QRS complex detection algorithm for electrocardiogram (ECG) signals recorded with the DELTA ePatch platform. The algorithm is able to automatically switch between single-channel and multi-channel analysis mode. This preliminary study includes data from 11 patients measured with the DELTA ePatch platform and the algorithm achieves an average QRS sensitivity and positive predictivity of 99.57% and 99.57%, respectively. The algorithm was also evaluated on all 48 records from the MIT-BIH Arrhythmia Database (MITDB) with an average sensitivity and positive predictivity of 99.63% and 99.63%, respectively.
    OriginalsprogEngelsk
    TidsskriftI E E E Engineering in Medicine and Biology Society. Conference Proceedings
    Vol/bind2012
    Sider (fra-til)2913-2916
    ISSN2375-7477
    DOI
    StatusUdgivet - 2012

    Fingeraftryk

    Electrocardiography
    Equipment and Supplies
    Switches
    Databases

    Citer dette

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    abstract = "We have designed and optimized an automatic QRS complex detection algorithm for electrocardiogram (ECG) signals recorded with the DELTA ePatch platform. The algorithm is able to automatically switch between single-channel and multi-channel analysis mode. This preliminary study includes data from 11 patients measured with the DELTA ePatch platform and the algorithm achieves an average QRS sensitivity and positive predictivity of 99.57{\%} and 99.57{\%}, respectively. The algorithm was also evaluated on all 48 records from the MIT-BIH Arrhythmia Database (MITDB) with an average sensitivity and positive predictivity of 99.63{\%} and 99.63{\%}, respectively.",
    keywords = "Algorithms, Electrocardiography, Humans, Wireless Technology",
    author = "Nielsena, {Dorthe B} and Kenneth Egstrup and Jens Branebjerg and Gunnar Andersen and Sorensen, {Helge B D}",
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    Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device. / Nielsena, Dorthe B; Egstrup, Kenneth; Branebjerg, Jens; Andersen, Gunnar; Sorensen, Helge B D.

    I: I E E E Engineering in Medicine and Biology Society. Conference Proceedings, Bind 2012, 2012, s. 2913-2916.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    TY - JOUR

    T1 - Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device

    AU - Nielsena, Dorthe B

    AU - Egstrup, Kenneth

    AU - Branebjerg, Jens

    AU - Andersen, Gunnar

    AU - Sorensen, Helge B D

    PY - 2012

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    AB - We have designed and optimized an automatic QRS complex detection algorithm for electrocardiogram (ECG) signals recorded with the DELTA ePatch platform. The algorithm is able to automatically switch between single-channel and multi-channel analysis mode. This preliminary study includes data from 11 patients measured with the DELTA ePatch platform and the algorithm achieves an average QRS sensitivity and positive predictivity of 99.57% and 99.57%, respectively. The algorithm was also evaluated on all 48 records from the MIT-BIH Arrhythmia Database (MITDB) with an average sensitivity and positive predictivity of 99.63% and 99.63%, respectively.

    KW - Algorithms

    KW - Electrocardiography

    KW - Humans

    KW - Wireless Technology

    U2 - 10.1109/EMBC.2012.6346573

    DO - 10.1109/EMBC.2012.6346573

    M3 - Journal article

    VL - 2012

    SP - 2913

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    JO - I E E E Engineering in Medicine and Biology Society. Conference Proceedings

    JF - I E E E Engineering in Medicine and Biology Society. Conference Proceedings

    SN - 2375-7477

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