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Granger causal analysis of electrohysterographic and tocographic recordings for classification of term vs. preterm births

Saleem Saqib, Saeed Ahmed, Usman Shabnam, Ferzund Javed, Arshad Jahangir, Mirza Jawad, Manzoor Tareq

Biocybernetics and Biomedical Engineering

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2020

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Vol. 40, no. 1

454--467

EN

According to World Health Organization, 5-18% births around the world are premature, and this rate is on its rise. Recent trend has been to develop computational tools which could support obstetricians in their daily practice. This work is aimed at extracting novel diagnostic features for term vs. preterm births classification based on the dynamics of contraction and non-contractions (dummy) intervals. To achieve this, 26 uterine records of 18 pregnant women, resulting in 13 term and 13 preterm deliveries, were analyzed in this study. Each record was of 30-min duration, and comprised three electrohysterographic (EHG) and one externally recorded tocographic (Toco) signal. Granger causal analysis of contraction and dummy intervals of recorded signals was performed to extract potential features. These include coupling strength and directionality indices, and were subsequently utilized by a quadratic discriminator to classify between term and preterm births. The extracted features achieved high discriminatory power of 94%, 95%, 91%, and 97% for sensitivity, specificity, classification accuracy, and area under the ROC curve, respectively. These findings show that Granger causal analysis might be adopted as a computational tool to quantify EHG-Toco dynamics for the risk-assessment of the preterm delivery.

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Automated detection of uterine contractions in tocography signals – Comparison of algorithms

Horoba K., Wrobel J., Jezewski J., Kupka T., Roj D., Jezewski M.

Biocybernetics and Biomedical Engineering

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2016

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Vol. 36, no. 4

610--618

EN

Monitoring of uterine contractile activity enables to control the progress of labor. Automated detection of contractions is an integral part of the signal analysis implemented in computer- aided fetal surveillance system. Comparison of four algorithms for automated detection of uterine contractions in the signal of uterine mechanical activity is presented. Three algorithms are based generally on analysis of the frequency distribution of signal values. The fourth method relies on analyzing the rate of changes of the uterine activity signal. The reference data in form of beginning and end of contraction episodes were provided by human experts. Obtained results show that all algorithms were capable to detect above 91% reference contractions, and less than 7% of recognized patterns were false. Two algorithms can be distinguished as providing a higher performance expressed by the sensitivity of 95% and the positive predictive value of 97%. Such results could be obtained by optimization of contraction validation criteria.

3

Efficiency of automated detection of uterine contraction using tocography

Horoba K., Wrobel J., Jezewski J., Kupka T., Czabanski R., Roj D., Jezewski M.

Journal of Medical Informatics & Technologies

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2015

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Vol. 24

207--214

EN

Monitoring of uterine contractile activity enables to control the progress of labour. Automated detection of contractions is to be an integral part of the signal analysis implemented in computer aided fetal surveillance system. Evaluation of efficiency of three algorithms for automated detection of uterine contractions in the signal of uterine mechanical activity is presented. These algorithms are based generally on analysis of the frequency distribution of signal values. The reference data in form of beginning and end of contraction episodes were obtained from human expert. Obtained results showed high efficiency of the algorithms tested where the best one ensured the sensitivity and positive predictive value equal to 92.2 and 97.2, respectively.

4

Monitoring of contraction activity of uterine muscle by the use of abdominal electrohysterography

Matonia A., Horoba K., Jeżewski J., Kupka T.

Acta of Bioengineering and Biomechanics

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2006

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Vol. 8, nr 2

27-34

EN

Monitoring of contraction activity of uterine muscle is important diagnostic tool used both during pregnancy and labour. The strain of pregnant uterus exerted on maternal abdomen is measured via external tocography. However, limitation of this approach has caused a development of other technique – electrohysterography, which is based on recording an electrical uterine activity. The comparison between electrohysterography and tocography was made due to the possibility of the simultaneous recording of mechanical and electrical uterine muscle activity. The results obtained show that both methods demonstrate high agreement in relation to the number of contractions recognized as being consistent.