Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero

The fetal heart rate (fHR) variability and electrocardiogram (fECG) are considered the most important sources of information about wellbeing. Non-invasive monitoring analysis fECG paramount for clinical trials. They enable examining health status detecting changes associated with insufficient oxygenation to cut likelihood hypoxic injury. Despite fact that significant advances have been achieved in electrocardiography adult ECG signal processing, is still its infancy. Due accurate morphology extraction techniques not properly developed, many areas require particular attention on way fully understanding fetus implementation non-invasive suitable remote home care which increasingly demand high-risk pregnancy monitoring. In this paper, we introduce an integrated approach processing based various methods welfare investigation hypoxia risk estimation. To best our knowledge, first attempt auto-generated scoring achieve early warning fetus' safety provide physician additional possible complications. proposed method includes following stages: extraction, fHR (fHRV) calculation, index (HI) evaluation extracted signals were examined by assessing Signal Noise Ratio (SNR) mean square error (MSE) values. results obtained demonstrated great potential, but more profound research validation, as well a consistent study, needed before into hospital at-home