The application of empirical mode decomposition for the enhancement of cardiotocograph signals

B. N. Krupa, M. A. Mohd Ali, E. Zahedi

    Research output: Contribution to journalArticle

    24 Citations (Scopus)

    Abstract

    Cardiotocograph (CTG) is widely used in everyday clinical practice for fetal surveillance, where it is used to record fetal heart rate (FHR) and uterine activity (UA). These two biosignals can be used for antepartum and intrapartum fetal monitoring and are, in fact, nonlinear and non-stationary. CTG recordings are often corrupted by artifacts such as missing beats in FHR, high-frequency noise in FHR and UA signals. In this paper, an empirical mode decomposition (EMD) method is applied on CTG signals. A recursive algorithm is first utilized to eliminate missing beats. High-frequency noise is reduced using EMD followed by the partial reconstruction (PAR) method, where the noise order is identified by a statistical method. The obtained signal enhancement from the proposed method is validated by comparing the resulting traces with the output obtained by applying classical signal processing methods such as Butterworth low-pass filtering, linear interpolation and a moving average filter on 12 CTG signals. Three obstetricians evaluated all 12 sets of traces and rated the proposed method, on average, 3.8 out of 5 on a scale of 1(lowest) to 5 (highest).

    Original languageEnglish
    Pages (from-to)729-743
    Number of pages15
    JournalPhysiological Measurement
    Volume30
    Issue number8
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Decomposition
    Fetal Heart Rate
    Fetal monitoring
    Noise
    Statistical methods
    Interpolation
    Signal processing
    Fetal Monitoring
    Artifacts

    Keywords

    • Cardiotocograph
    • Empirical mode decomposition
    • Fetal heart rate
    • Non-stationary
    • Nonlinear
    • Signal enhancement
    • Uterine activity

    ASJC Scopus subject areas

    • Biophysics
    • Physiology
    • Physiology (medical)

    Cite this

    The application of empirical mode decomposition for the enhancement of cardiotocograph signals. / Krupa, B. N.; Mohd Ali, M. A.; Zahedi, E.

    In: Physiological Measurement, Vol. 30, No. 8, 2009, p. 729-743.

    Research output: Contribution to journalArticle

    Krupa, B. N. ; Mohd Ali, M. A. ; Zahedi, E. / The application of empirical mode decomposition for the enhancement of cardiotocograph signals. In: Physiological Measurement. 2009 ; Vol. 30, No. 8. pp. 729-743.
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