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13 February 2025 |
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Article overview
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Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria | Reza Sameni
; Frédéric Vrins
; Fabienne Parmentier
; Christophe Hérail
; Vincent Vigneron
; Michel Verleysen
; Christian Jutten
; Mohammad B. Shamsollahi
; | Date: |
1 Feb 2023 | Abstract: | Blind source separation (BSS) techniques have revealed to be promising
approaches for, among other, biomedical signal processing applications.
Specifically, for the noninvasive extraction of fetal cardiac signals from
maternal abdominal recordings, where conventional filtering schemes have failed
to extract the complete fetal ECG components. From previous studies, it is now
believed that a carefully selected array of electrodes well-placed over the
abdomen of a pregnant woman contains the required ’information’ for BSS, to
extract the complete fetal components. Based on this idea, in previous works
array recording systems and sensor selection strategies based on the Mutual
Information (MI) criterion have been developed. In this paper the previous
works have been extended, by considering the 3-dimensional aspects of the
cardiac electrical activity. The proposed method has been tested on simulated
and real maternal abdominal recordings. The results show that the new sensor
selection strategy together with the MI criterion, can be effectively used to
select the channels containing the most ’information’ concerning the fetal ECG
components from an array of 72 recordings. The method is hence believed to be
useful for the selection of the most informative channels in online
applications, considering the different fetal positions and movements. | Source: | arXiv, 2302.00206 | Services: | Forum | Review | PDF | Favorites |
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