Método estadístico-geométrico para medir la variabilidad de la frecuencia cardíaca

Abstract

This paper presents a new statistical-geometric method to quantify the heart rate variability (HRV). The proposed method is intended to be robust in front to artefacts embedded in RR time series. It is performed in two steps: (a) automatic elimination of artefacts using a geometric method, based on the triangles areas, and (b) computation of the RR-series standard deviation. We compare the behaviour of two new indexes, derived from the proposed method, with other two robust indexes in front to artefacts, described in the literature. The obtained results show that the computations of statistical-geometric indexes preserve more diagnostic information than the others. The statistical-geometric method is very easy to implement and it is very familiar for the medical professionals. © Springer-Verlag Berlin Heidelberg 2007.