Extraction of Fetal Heart-Rate Signal as the Time Event Series From Evenly Sampled Data Acquired Using Doppler Ultrasound Technique

Analysis of variability of fetal heart rate (FHR) is very important in prediction of the fetal wellbeing. The beat-to-beat variability is described quantitatively by the indices originated from invasive fetal electrocardiography which provides the FHR signal in a form of time event series. Today, mo...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2008-02, Vol.55 (2), p.805-810
Main Authors: Jezewski, Janusz, Kupka, Tomasz, Horoba, Krzysztof
Format: Article
Language:English
Subjects:
Algorithms
Cardiotocography - methods
Data mining
Doppler ultrasound
Echocardiography, Doppler - methods
Electrocardiography
Fetal heart rate
fetal heart-rate (FHR) variability
Heart beat
Heart Rate - physiology
heartbeat events
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Instruments
Monitoring
Pattern Recognition, Automated - methods
Pregnancy
Reproducibility of Results
Sensitivity and Specificity
Signal processing
Signal processing algorithms
Space technology
Ultrasonic imaging
Ultrasonography, Prenatal - methods
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Analysis of variability of fetal heart rate (FHR) is very important in prediction of the fetal wellbeing. The beat-to-beat variability is described quantitatively by the indices originated from invasive fetal electrocardiography which provides the FHR signal in a form of time event series. Today, monitoring instrumentation is based on Doppler ultrasound technology. We used two bedside fetal monitors with different processing methods for heartbeat detection and FHR signal determination: the autocorrelation and cross-correlation techniques. Both monitors provide the output signal in a form of evenly spaced samples. The goal of this paper is to present a new method for the FHR signal processing, which enables extraction of series of consecutive heartbeat intervals from the sampled signal. The proposed correction algorithms allow recognition and removal of the FHR signal distortions typical for fetal monitors-invalid and duplicated samples. The correction efficiency has been verified based on the FHR variability indices calculated for the sampled signal and the corresponding event series. For both monitors, considerable influence of the signal representation on indices values was noted. Concluding, we recommended implementing these algorithms in fetal surveillance system as a preprocessing stage for the determination of FHR variability indices.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2007.903532