24 research outputs found
Geometrical Factors Affecting the Interindividual Variability of the ECG and VCG
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Lead system transformation for pooling of body surface map data: a surface Laplacian approach
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20540___.PDF (publisher's version ) (Open Access
Does the change in quantitatively assessed coronary artery disease after lipid-lowering therapy relate to functional status of the patient? A substudy of the regression growth evaluation statin study (REGRESS)
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23731___.PDF (publisher's version ) (Open Access
Functional Evaluation of Lipid-Lowering Therapy by Pravastatin in the Regression Growth Evaluation Statin Study (REGRESS)
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25885___.PDF (publisher's version ) (Open Access
Evaluation of lipid-lowering therapy by functional assessment. A substudy of the regression growth evaluation statin study (REGRESS)
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23852___.PDF (publisher's version ) (Open Access
The number of independent signals in body surface maps.
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Geometrical aspects of the interindividual variability of multilead ECG recordings.
Item does not contain fulltextThe electrocardiogram (ECG) as measured from healthy subjects shows a considerable interindividual variability. This variability is caused by geometrical as well as by physiological factors. In this study, the relative contribution of the geometrical factors is estimated. In addition a method aimed at correcting for these factors is described. First, a measure (RV) for quantifying the overall variability is presented, and for healthy individuals its value is estimated as 0.52. Next, based on a simulation study using the individual (heart-lung-torso) geometry of 25 subjects, the variability caused by geometrical factors is estimated as 0.40, indicating that in healthy subjects the RV for healthy individuals resulting from electrophysiology is of the order of 0.33. In an evaluation of the correction procedure, applied to realistic, simulated body surface potentials, it is shown that RV caused by geometrical factors can be reduced from 0.40 to 0.06. When applying the correction procedure to measured ECG data no reduction of the RV value could be demonstrated. These results indicate that the involved procedure of the inverse computation of a cardiac equivalent source, at the present time, is of insufficient quality to cash in on the substantial reduction of RV values from 0.52 down to 0.33 that might be obtainable
Does the change in quantitatively assessed coronary artery disease after lipid-lowering therapy relate to the change in functional status of the patient?
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23732___.PDF (publisher's version ) (Open Access