Estimation of the Uncertainty in Time Domain Indices of RR Time Series

Abstract

of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters," IEEE Trans. Rehabil. Eng., vol. 6, no. 3, pp. 316-325, Sep. 1998 Estimation of the Uncertainty in Time Domain Indices of RR Time SeriesMiguel A. García-González*, Mireya Fernández-Chimeno, and J. Ramos-CastroAbstract-A method for estimating the uncertainty in time-domain indices of RR time series is described. The method relies on the central limit theorem that states that the distribution of a sample average of independent samples has an uncertainty that asymptotically approaches to the sample standard deviation divided by the square root of the number of samples. Because RR time series cannot be characterized by a set of independent samples, we propose to estimate the uncertainty of indices by computing them in blocks that satisfy that the obtained partial indices are independent. We propose a methodology to search sets of independent partial indices and apply this methodology to the estimation of the uncertainty in the mean RR, SDRR, and r-msDD indices. The results show that the uncertainty can be higher than the 10% of the index for the SDRR and even higher for the r-msDD. Moreover, a statistical test for the difference of two indices is proposed.

The impact of the cardiovascular component and somatic mutations on ageing

“…Human HRV measurements are well standardised enforcing compatibility (Malik, 1996 ) and are available in abundance. However, data and standardisation was lacking for most other mammalian species included in our study (García‐González et al, 2009 ; Manzo et al, 2009 ), thus HRV was not considered. It is our belief that RHR captures all information content of HRV, since HRV provides information about controlling mechanisms of heart rate.…”