Noninvasive fetal ECG extraction using doubly constrained block-term decomposition

• Main Authors: Iman Mousavian, Mohammad Bagher Shamsollahi, Emad Fatemizadeh
• Format: Article
• Language: English
• Published: AIMS Press 2020-01-01
• Series: Mathematical Biosciences and Engineering
• Subjects: signal extraction; fecg; tensor decomposition; bt decomposition
• Online Access: https://www.aimspress.com/article/doi/10.3934/mbe.2020008?viewType=HTML

Fetal electrocardiogram (fECG) monitoring is a beneficial method for assessing fetal health and diagnosing the fetal cardiac condition during pregnancy. In this study, an algorithm is proposed to extract fECG from maternal abdominal signals based on doubly constrained block-term (DoCoBT) tensor decomposition. This tensor decomposition method is constrained by quasiperiodicity constraints of fetal and maternal ECG signals. Tensor decompositions are more powerful tools than matrix decomposition, due to employing more information for source separation. Tensorizing abdominal signals and using periodicity constraints of fetal and maternal ECG, appropriately separates subspaces of the mother, the fetus(es) and noise. The quantitative and qualitative results of the proposed method show improved performance of DoCoBT decomposition versus other tensor and matrix decomposition methods in noisy conditions.