English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The detection of abnormal fetal heartbeats during pregnancy is important formonitoring the health conditions of the fetus. While adult ECG has made severaladvances in modern medicine, noninvasive fetal electrocardiography (FECG)remains a great challenge. In this paper, we introduce a new method based onaffine combinations of adaptive filters to extract FECG signals. The affinecombination of multiple filters is able to precisely fit the reference signal,and thus obtain more accurate FECGs. We proposed a method to combine the LeastMean Square (LMS) and Recursive Least Squares (RLS) filters. Our approach foundthat the Combined Recursive Least Squares (CRLS) filter achieves the bestperformance among all proposed combinations. In addition, we found that CRLS ismore advantageous in extracting FECG from abdominal electrocardiograms (AECG)with a small signal-to-noise ratio (SNR). Compared with the state-of-the-artMSF-ANC method, CRLS shows improved performance. The sensitivity, accuracy, andF1 scores improved by 3.58%, 2.39%, and 1.36%, respectively.

A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters