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Blind source separation (BSS) techniques have revealed to be promisingapproaches for, among other, biomedical signal processing applications.Specifically, for the noninvasive extraction of fetal cardiac signals frommaternal abdominal recordings, where conventional filtering schemes have failedto extract the complete fetal ECG components. From previous studies, it is nowbelieved that a carefully selected array of electrodes well-placed over theabdomen of a pregnant woman contains the required `information' for BSS, toextract the complete fetal components. Based on this idea, in previous worksarray recording systems and sensor selection strategies based on the MutualInformation (MI) criterion have been developed. In this paper the previousworks have been extended, by considering the 3-dimensional aspects of thecardiac electrical activity. The proposed method has been tested on simulatedand real maternal abdominal recordings. The results show that the new sensorselection strategy together with the MI criterion, can be effectively used toselect the channels containing the most `information' concerning the fetal ECGcomponents from an array of 72 recordings. The method is hence believed to beuseful for the selection of the most informative channels in onlineapplications, considering the different fetal positions and movements.

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria