Aplicación de métodos Bootstrap para la inferencia de estadísticos de las series de índices de alternancia de la onda T en pacientes que presentan cardiopatías.

Abstract

In this paper, the Block Bootstrap and TFT-Bootstrap methods are used to estimate the parameters of the T-wave alternans (TWA) index series, particularly in patients with heart disease. Alternans describes the beat-to-beat variations, in direction, amplitude and/or duration in our case of the T wave of the electrocardiogram, variations in this wave may be related to the presence of heart disease or the possible risk of sudden cardiac death (SCD). The possible risk of suffering heart disease or SCD is established through the analysis of statistics of the TWA index series, by means of conditions on these statistics the medical staff determines the absence or presence of alternation in the series, which will be equivalent to the risk of suffering a particular heart disease. A proper estimation of these parameters could make a difference in allowing timely diagnosis and appropriate treatment for patients. This research project is proposed as a vision so that interdisciplinary groups of professionals in statistics and health can replicate it to populations of interest by adjusting local models to them. Relevant information will be generated for the construction of potential new methodologies and will open debate on the possible application of Bootstrap methods to improve the characterization of T-wave alternans, benefiting patients with early detection of the risk of suffering particular heart diseases.