Real-time signal processing for fetal heart rate monitoring

Muhammad I. Ibrahimy, Firoz Ahmed, M. A. Mohd Ali, Edmond Zahedi

    Research output: Contribution to journalArticle

    75 Citations (Scopus)

    Abstract

    Analgorithm based on digital filtering, adaptive thresholding, statistical properties in the time domain, and differencing of local maxima and minima has been developed for the simultaneous measurement of the fetal and maternal heart rates from the maternal abdominal electrocardiogram during pregnancy and labor for ambulatory monitoring. A microcontroller-based system has been used to implement the algorithm in real-time. A Doppler ultrasound fetal monitor was used for statistical comparison on five volunteers with low risk pregnancies, between 35 and 40 weeks of gestation. Results showed an average percent root mean square difference of 5.32% and linear correlation coefficient from 0.84 to 0.93. The fetal heart rate curves remained inside a ±5-beats-per-minute limit relative to the reference ultrasound method for 84.1% of the time.

    Original languageEnglish
    Pages (from-to)258-262
    Number of pages5
    JournalIEEE Transactions on Biomedical Engineering
    Volume50
    Issue number2
    DOIs
    Publication statusPublished - 1 Feb 2003

    Fingerprint

    Signal processing
    Ultrasonics
    Adaptive filtering
    Monitoring
    Microcontrollers
    Electrocardiography
    Personnel

    Keywords

    • Abdominal electrocardiogram
    • Digital filtering
    • Doppler ultrasound
    • Fetal heart rate

    ASJC Scopus subject areas

    • Biomedical Engineering

    Cite this

    Real-time signal processing for fetal heart rate monitoring. / Ibrahimy, Muhammad I.; Ahmed, Firoz; Mohd Ali, M. A.; Zahedi, Edmond.

    In: IEEE Transactions on Biomedical Engineering, Vol. 50, No. 2, 01.02.2003, p. 258-262.

    Research output: Contribution to journalArticle

    Ibrahimy, Muhammad I. ; Ahmed, Firoz ; Mohd Ali, M. A. ; Zahedi, Edmond. / Real-time signal processing for fetal heart rate monitoring. In: IEEE Transactions on Biomedical Engineering. 2003 ; Vol. 50, No. 2. pp. 258-262.
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