# Efficient fetal-maternal ECG signal separation from two channel maternal abdominal ECG via diffusion-based channel selection

arXiv: https://arxiv.org/abs/1702.02025 · HTML: https://mlsanity.com/paper/1702.02025/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Feb 2017.

## Built on by (most cited first, 4 of 4)

- [IAE-Net: Integral Autoencoders for Discretization-Invariant Learning](https://mlsanity.com/paper/2203.05142/) (2022)
- [Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators](https://mlsanity.com/paper/2201.08530/) (2022)
- [Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms](https://mlsanity.com/paper/2112.13021/) (2021)
- [Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation](https://mlsanity.com/paper/2602.03886/) (2026)

## Abstract (arXiv)

There is a need for affordable, widely deployable maternal-fetal ECG monitors to improve maternal and fetal health during pregnancy and delivery. Based on the diffusion-based channel selection, here we present the mathematical formalism and clinical validation of an algorithm capable of accurate separation of maternal and fetal ECG from a two channel signal acquired over maternal abdomen.