A system for automated quantification of cutaneous electrogastrograms

Niranchan Paskaranandavadivel, Simon Henry Bull, Doug Parsell, Leo K. Cheng, Thomas L. Abell

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Clinical evaluation of cutaneous electrogastrograms (EGG) is important for understanding the role of slow waves in functional motility disorders and may be a useful diagnostic aid. An automated software package has been developed which computes metrics of interest from EGG and from slow wave recordings from the gastric mucosa and serosa in a reliable and efficient manner. In particular, the frequency and amplitude of the gastric slow waves were computed, after which signal integrity checks were performed to assess if the signals are valid. For validation, manual estimates of the frequency and amplitude were compared to automated estimates. The methods were packaged into a software executable which processes the data and presents the results in an intuitive graphical and a spreadsheet formats. Automated EGG analysis allows for clinical translation of bio-electrical analysis for potential diagnostics, as commonly used in the cardiac field.
    Original languageEnglish
    Title of host publicationProceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    PublisherIEEE
    Publication date2015
    Pages6098-6101
    ISBN (Print)978-1-4244-9270-1
    DOIs
    Publication statusPublished - 2015
    Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milano, Italy
    Duration: 25 Aug 201529 Aug 2015
    Conference number: 37

    Conference

    Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Number37
    CountryItaly
    CityMilano
    Period25/08/201529/08/2015
    SeriesI E E E Engineering in Medicine and Biology Society. Conference Proceedings
    ISSN2375-7477

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