Multi-scale sample entropy and recurrence plots distinguish healthy from suffering foetus

Iulian Voicu (1) , Jean-Marc Girault (1)

1 iBraiN - Imaging, Brain & Neuropsychiatry

Currently, the assessment of the state of fetal well-being using ultrasound is a challenge in the obstetrical world. To assess the fetal well-being, parameters are derived from the fetal heart rate and fetal movements. We estimated the fetal heart rate using a multi-sensor, multi-gate pulsed Doppler system and we propose to study the complexity of heart rate by calculating the multi-scale entropy and the parameters deduced from the recurrence plots. The article presents a preliminary study that evaluates the relevance of complexity parameters in assessing the state of fetal well-being. Our results show that complexity parameters can distinguish healthy from suffering foetus.

Mots clés: complexity measures; fetal heart rate; Doppler signal; fetal-well being

Domaines: Acoustique [physics.class-ph]

Iulian Voicu, Jean-Marc Girault. Multi-scale sample entropy and recurrence plots distinguish healthy from suffering foetus. Acoustics 2012, Apr 2012, Nantes, France. ⟨hal-00810816⟩