Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage

TL;DR

This paper introduces a novel algorithm for recovering fetal ECG signals from minimal channels, enabling detailed morphological analysis and continuous monitoring, with superior performance demonstrated on public and simulated datasets.

Contribution

The paper presents the first algorithm capable of recovering fetal ECG morphology from only two or three trans-abdominal channels for continuous monitoring.

Findings

Outperforms existing algorithms in fetal R peak detection.

Successfully recovers fetal ECG waveform features including PR, QT, and ST intervals.

Demonstrates potential for long-term fetal ECG monitoring.

Abstract

We propose a novel algorithm to recover fetal electrocardiogram (ECG) for both the fetal heart rate analysis and morphological analysis of its waveform from two or three trans-abdominal maternal ECG channels. We design an algorithm based on the optimal-shrinkage and the nonlocal Euclidean median under the wave-shape manifold model. For the fetal heart rate analysis, the algorithm is evaluated on publicly available database, 2013 PhyioNet/Computing in Cardiology Challenge, set A. For the morphological analysis, we propose to simulate semi-real databases by mixing the MIT-BIH Normal Sinus Rhythm Database and MITDB Arrhythmia Database. For the fetal R peak detection, the proposed algorithm outperforms all algorithms under comparison. For the morphological analysis, the algorithm provides an encouraging result in recovery of the fetal ECG waveform, including PR, QT and ST intervals, even when the fetus has arrhythmia. To the best of our knowledge, this is the first work focusing on recovering the fetal ECG for morphological analysis from two or three channels with an algorithm potentially applicable for continuous fetal electrocardiographic monitoring, which creates the potential for long term monitoring purpose.