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The proposed index da robustly quantifies physiological variabilities of the T-wave amplitude independent of time-domain variability, showing potential as an arrhythmic risk predictor.
The comparison between the pointwise amplitude of different T-waves provides insight into ventricular repolarization liability. However, T-wave pointwise amplitude variability can be confounded by time-domain variability. We, first, compared two algorithms for removing (warping) time-domain variability, one using the original and another one using a transformed T-wave (SRSF). We, next, compared the robustness against noise of two markers, d y and d a , of pointwise amplitude variability, after warping the underlying temporal variability with the preferred warping algorithm. d y was obtained from the transformed T-waves while d a was proposed in this work and was derived from the original T-waves. We, finally, used the most robust marker to measure the T-wave pointwise amplitude variability between every T-wave recorded during a Tilt test and their mean T-wave. Results showed that the preferred warping algorithm was the SRSF because it is not affected by differences between the amplitudes of the original T-waves. In addition, the marker d a presented lower relative error values than d y for every level of noise. The analysis of electrocardiogram records showed that d a was significantly lower during the tilt than in supine position (-5.5 % vs 6.5 %, p<0.01). In conclusion, d a robustly quantifies physiological variabilities of the T-wave amplitude, showing its potential to be used as an arrhythmic risk predictor in future clinical situations.
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Ramírez et al. (2016) studied this question.
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