Background: As an essential indicator of labour and delivery, uterine contraction (UC) can be detected by manual palpation, external tocodynamometry and internal uterine pressure catheter. However, these methods are not applicable for long-term monitoring.
Objective: This paper aims to recognize UCs with electrohysterogram (EHG) and find the best electrode combination with fewer electrodes.
Developing a computational method for recognizing preterm delivery is important for timely diagnosis and treatment of preterm delivery. The main aim of this study was to evaluate electrohysterogram (EHG) signals recorded at different gestational weeks for recognizing the preterm delivery using random forest (RF). EHG signals from 300 pregnant women were divided into two groups depending on when the signals were recorded: i) preterm and term delivery with EHG recorded before the 26 week of gestation (denoted by PE and TE group), and ii) preterm and term delivery with EHG recorded during or after the 26 week of gestation (denoted by PL and TL group).
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