Enhancing physionet electrocardiogram records for fetal heart rate detection algorithm

Wan Yusri Wan Yusuf, Mohd Alauddin Mohd Ali, Edmond Zahedi

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

    Abstract

    The noninvasive fetal electrocardiogram (ECG) data available from Physionet data bank are suitable for developing fetal heart rate (FHR) detection algorithms. The data have been collected from single subject with a broad range of gestation weeks, and have a total data length of more than 9 hours arranged in 55 data sets. However, there are three additional data features which are currently not directly available from Physionet to facilitate the easy usage of these data: (1) the fetal peak visibility evaluation, (2) the gestation week, and (3) the data length. This article presents an improvement to the data bank by providing the additional features. The required pre-processing of the data is also discussed. This new data features are presented in bar graphs, and were used to assist the authors' two data channels-based FHR detection algorithm development. This detection scheme uses only one thoracic channel and one abdominal channel from this six Physionet data channels. The discussed data features and the data pre-processing would also be useful for researchers intending to use other channels combinations of the Physionet data.

    Original languageEnglish
    Title of host publicationProceedings - 2015 2nd International Conference on Biomedical Engineering, ICoBE 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479917495
    DOIs
    Publication statusPublished - 1 Sep 2015
    Event2nd International Conference on Biomedical Engineering, ICoBE 2015 - Penang, Malaysia
    Duration: 30 Mar 201531 Mar 2015

    Other

    Other2nd International Conference on Biomedical Engineering, ICoBE 2015
    CountryMalaysia
    CityPenang
    Period30/3/1531/3/15

    Fingerprint

    Electrocardiography
    Processing
    Visibility

    Keywords

    • abdominal ECG
    • fetal heart rate
    • noninvasive
    • Physionet
    • pre-processing

    ASJC Scopus subject areas

    • Biomedical Engineering

    Cite this

    Yusuf, W. Y. W., Ali, M. A. M., & Zahedi, E. (2015). Enhancing physionet electrocardiogram records for fetal heart rate detection algorithm. In Proceedings - 2015 2nd International Conference on Biomedical Engineering, ICoBE 2015 [7235880] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoBE.2015.7235880

    Enhancing physionet electrocardiogram records for fetal heart rate detection algorithm. / Yusuf, Wan Yusri Wan; Ali, Mohd Alauddin Mohd; Zahedi, Edmond.

    Proceedings - 2015 2nd International Conference on Biomedical Engineering, ICoBE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7235880.

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

    Yusuf, WYW, Ali, MAM & Zahedi, E 2015, Enhancing physionet electrocardiogram records for fetal heart rate detection algorithm. in Proceedings - 2015 2nd International Conference on Biomedical Engineering, ICoBE 2015., 7235880, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Biomedical Engineering, ICoBE 2015, Penang, Malaysia, 30/3/15. https://doi.org/10.1109/ICoBE.2015.7235880
    Yusuf WYW, Ali MAM, Zahedi E. Enhancing physionet electrocardiogram records for fetal heart rate detection algorithm. In Proceedings - 2015 2nd International Conference on Biomedical Engineering, ICoBE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7235880 https://doi.org/10.1109/ICoBE.2015.7235880
    Yusuf, Wan Yusri Wan ; Ali, Mohd Alauddin Mohd ; Zahedi, Edmond. / Enhancing physionet electrocardiogram records for fetal heart rate detection algorithm. Proceedings - 2015 2nd International Conference on Biomedical Engineering, ICoBE 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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