Statistical Methods for Analyzing Deceleration and Acceleration Capacity of the Heart Rate

Author(s):  
Mirosław Chyliński ◽  
Mirosław Szmajda
2016 ◽  
pp. 293 ◽  
Author(s):  
Yan-hong Xu ◽  
Xing-de Wang ◽  
Jia-jun Yang ◽  
Li Zhou ◽  
Yong-chao Pan

2012 ◽  
Vol 45 (3) ◽  
pp. 214-219 ◽  
Author(s):  
Roberto Ricca-Mallada ◽  
Eduardo R. Migliaro ◽  
Jaroslaw Piskorski ◽  
Przemyslaw Guzik

2019 ◽  
Vol 7 ◽  
Author(s):  
Galya Nikolova Georgieva-Tsaneva

The physiological signals that are recorded from different parts of the human body have a non-stationary nature and the tracking of their dynamics is an interesting research problem. This report examines Heart Rate Variability through the use of statistical methods of analysis that are traditionally used to study the functionality of the heart and via Detrended Fluctuation Analysis. The use of the technique of Detrended Fluctuation Analysis allows the investigation of short-term and long-term correlations in non-stationary Heart Rate Variability series. A study has been made of the changes in the functioning of the human heart, depending on the age. The study encompasses healthy individuals in three different age groups. The analysis of the obtained results shows a change in the correlated behavior of the investigated signals with an increase in age.


1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.


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