Determination of true & false labor from the analysis of various signals acquired from uterine contraction

Prediction of premature labor is very important factor in this century as the neonatal death ratio is increasing day by day. For the prediction of labor it is necessary to have uterine contraction signals. Analysis of EHG is Consider proper tool for this aim. EHG record the electric activity of uterine muscle. In this paper the signals is downloaded from the Physionet dataset, the work presented in this paper is to determine True and False labour from the Analysis of various signals which is acquired from Uterine Contraction. Linear (mean, median) and non-linear (entropy) feature is extracted from EHG signals and support vector machine (SVM) is applied for classification to get the result whether the labour is term or pre-term.