Abstract
There has been very little research focused on analyzing the directed interactions between fetal and maternal heart rate and respiration during labor or otherwise. In this work we focused on a measure of information flow between the mother and fetus as a prelude to identifying features correlated with outcome. We used the PhysioNet 'Abdominal and Direct Fetal Electrocardiogram Database' representing 5-minute multichannel ECG recordings from 5 pregnant women during labor. Each recording comprised four simultaneously acquired maternal abdomen ECG leads and a fetal scalp recording. Fetal and maternal beat to beat intervals were extracted to estimate heart rate and respiration from both mother and fetus. The interactions between fetal and maternal breathing and heart rates were assessed by Neural Network-based Granger Causality (NNGC) with non-uniform embedding. For all cases the causal influence was unidirectional from respiration to heart rate for mothers and fetuses. The strongest causal link was from fetal heart period and breathing movement to maternal heart period, indicating that the maternal heart rate is mainly influenced by the fetal cardiorespiratory activity during labor. This implies that a change in the fetal breathing movement and heart rate can invoke a maternal physiological response to satisfy the fetal oxygen demand during the course of labor. Future work will focus on a larger cohort and using the information flow as a parameter to identify fetal maturity, distress and complications during labor.
Original language | English |
---|---|
Title of host publication | 2017 Computing in Cardiology (CinC 2017) |
Editors | Christine Pickett, Cristiana Corsi, Pablo Laguna, Rob MacLeod |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Number of pages | 4 |
Volume | 44 |
ISBN (Electronic) | 9781538666302 |
ISBN (Print) | 9781538645550 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Event | Computing in Cardiology Conference 2017 - Rennes, France Duration: 24 Sept 2017 → 27 Sept 2017 Conference number: 44th http://www.cinc.org/archives/2017/ (Proceedings) |
Publication series
Name | Computing in Cardiology |
---|---|
Volume | 44 |
ISSN (Print) | 2325-8861 |
Conference
Conference | Computing in Cardiology Conference 2017 |
---|---|
Abbreviated title | CINC 2017 |
Country/Territory | France |
City | Rennes |
Period | 24/09/17 → 27/09/17 |
Internet address |
|