Why the study?
Does the golden section approach improve the heart rate independence of QTc intervals compared to mixed models and least-square regression in ECG datasets?
Does the golden section approach improve the heart rate independence of QTc intervals compared to mixed models and least-square regression in ECG datasets?
The golden section approach provides the most reliable parameter estimation for QT correction models to ensure the QTc interval remains uncorrelated with heart rate.
This paper compares six commonly used QT correction models and three available parameter estimation methods using five indices for QTc evaluation based on real and simulated electrocardiograph (ECG) datasets. The results show that the golden section approach always finds the correction factor making QTc interval uncorrelated to heart rate for all six formulas. However, the correction formulas derived from mixed model sometimes fail to make QTc interval invariant of heart rate. The performance of an individual least-square regression method lies between the golden section iteration approach and the mixed model in terms of QTc-RR relationship.
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Wang et al. (2012) studied this question.
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