The Algorithm for Fetal Activity Signal Processing

Fetal activity is an important indicator of fetal health and its level of neural development. To detect the critical state of the fetus, it is important to monitor the indicators of its state over a prolonged period of time. Long-term monitoring without negatively affecting the fetus and mother's health is possible through passive methods. This work was aimed at extracting episodes of fetal motor activity from the signal obtained using an accelerometer system of long-term monitoring.