2007
DOI: 10.1016/j.jelectrocard.2006.04.006
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Adaptation of the standard 12-lead electrocardiogram system dedicated to the analysis of atrial fibrillation

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Cited by 31 publications
(29 citation statements)
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“…Although the morphology and variability of the standard ECG signal in AF has been widely studied, only few authors have considered that the standard ECG system is sensing mostly the ventricles and have proposed the use of a different arrangement of the 9 standard leads in order to increase the effectiveness in AF characterization [Ihara 2007]. The broader electrode settings of BSPM has been used to study atrial arrhythmias , Gerstenfeld 2000, Lian 2002, Sippensgroenewegen 1998], but without an evaluation of accuracy for AF mechanisms characterization.…”
Section: Lead Distribution In Body Surface Electrocardiographymentioning
confidence: 99%
“…Although the morphology and variability of the standard ECG signal in AF has been widely studied, only few authors have considered that the standard ECG system is sensing mostly the ventricles and have proposed the use of a different arrangement of the 9 standard leads in order to increase the effectiveness in AF characterization [Ihara 2007]. The broader electrode settings of BSPM has been used to study atrial arrhythmias , Gerstenfeld 2000, Lian 2002, Sippensgroenewegen 1998], but without an evaluation of accuracy for AF mechanisms characterization.…”
Section: Lead Distribution In Body Surface Electrocardiographymentioning
confidence: 99%
“…Later studies [67] have developed an iterative search algorithm for the selection of optimum lead sets based on an information content criterion related to this MDL approach. This algorithm iteratively adds to the lead set from the previous step the lead that maximizes a parameter which aims to reflect the amount of information contained in a certain lead set.…”
Section: Signal Independency Approachmentioning
confidence: 99%
“…According to [67], the larger α M , the more information is contained in the lead set, and consequently the higher performance is achieved. This lead selection algorithm is an iterative procedure where (1) the lead i n of the non-selected group is added to the M selected leads from the previous step, hence obtaining the potential matrices X {j1,...,jM ,in} , for each n, 1 ≤ n ≤ N (2) update M = M + 1 and compute α M for each of those matrices.…”
Section: Signal Independency Approachmentioning
confidence: 99%
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