1. A methodology to quantify the differences between alternative methods of heart rate variability measurement
- Author
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M. Fernandez-Chimeno, Federico Guede-Fernandez, A Argelagós-Palau, Eva Parrado, V. Ferrer-Mileo, Lluís Capdevila, M A García-González, Juan Ramos-Castro, L Álvarez-Gómez, Jordi Moreno, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, and Universitat Politècnica de Catalunya. IEB - Instrumentació Electrònica i Biomèdica
- Subjects
Stationarity ,Stationary process ,Time Factors ,Physiology ,0206 medical engineering ,Biomedical Engineering ,Biophysics ,02 engineering and technology ,Agreement ,Set (abstract data type) ,Normal distribution ,03 medical and health sciences ,Electrocardiography ,0302 clinical medicine ,Electrònica mèdica ,Heart Rate ,Physiology (medical) ,Statistics ,Heart rate variability ,Heart Function Tests ,Randomness ,Mathematics ,Statistical hypothesis testing ,Series (mathematics) ,Heart beat ,030229 sport sciences ,020601 biomedical engineering ,Medical electronics ,Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia [Àrees temàtiques de la UPC] ,Surrogate measurements ,Cor -- Batecs - Abstract
This work proposes a systematic procedure to report the differences between heart rate variability time series obtained from alternative measurements reporting the spread and mean of the differences as well as the agreement between measuring procedures and quantifying how stationary, random and normal the differences between alternative measurements are. A description of the complete automatic procedure to obtain a differences time series (DTS) from two alternative methods, a proposal of a battery of statistical tests, and a set of statistical indicators to better describe the differences in RR interval estimation are also provided. Results show that the spread and agreement depend on the choice of alternative measurements and that the DTS cannot be considered generally as a white or as a normally distributed process. Nevertheless, in controlled measurements the DTS can be considered as a stationary process.
- Published
- 2015