High dimensional data processing for fetal activity evaluation

Fetal activity parameters such as movements, fetal heart rate (FHR) and the associated parameters are essential indicators of the fetal well being, and thus, their monitoring is of high importance. Many existing monitoring systems provide partial monitoring information. For instance, most of the systems perform estimation and analysis of FHR. However, this is not enough compared to the biophysical profile or Manning test which is known to be a reference, but time consuming and not very flexible. We developed a multiple-sensor Doppler system to investigate Maning-like test. This system provides a huge amount of data which are processed in order to access the fetal activity parameters. We show here a synthesis of the main results in terms of classification.