Correlation Between Time-Domain Features of Electrohysterogram Data of Pregnant Women and Gestational Age

Electrohysterography (EHG) has been recently applied as one of diagnostic tools for pregnant women. In this study, six time-domain features commonly applied to EMG data, namely, the root mean square, the mean absolute value, the m-order, the average amplitude change, the difference absolute standard deviation value and the zero crossing, are applied to EHG data recorded from pregnant women who delivered at term or prematurely. The correlation between the time-domain features of EHG data and their corresponding time of recordings are examined using Pearson's correlation coefficients. From the computational results, it is shown that the mean absolute value, the m-order, the zero crossing, and the difference absolute standard deviation value are the time-domain features of EHG data that exhibit the strongest linear correlation with the time of recordings for each class of EHG data. Furthermore, the characteristics of time-domain features of EHG data associated with preterm and term births are shown to be different according to their correlation with the time of recordings.