Assessment of heart rate variability by application of central tendency measure

2015 ◽  
Vol 53 (11) ◽  
pp. 1231-1237 ◽  
Author(s):  
Laurita dos Santos ◽  
Joaquim J. Barroso ◽  
Elbert E. N. Macau ◽  
Moacir F. de Godoy
2019 ◽  
Vol 74 ◽  
pp. 33-40
Author(s):  
Rascius-Endrigho A.U. Belfort ◽  
Sara P.C. Treccossi ◽  
João L.F. Silva ◽  
Valdir G. Pillat ◽  
Celso B.N. Freitas ◽  
...  

2021 ◽  
Vol 10 (8) ◽  
pp. e14410817237
Author(s):  
Francielly V. Correa ◽  
Aline M. Diolindo Meneses ◽  
Sara P. Carvalho ◽  
Antônio P. Mendes ◽  
Laurita dos Santos

Anxiety is a negative emotional response to situations that threaten the subject. Objective: The present study aims to verify the influence of anxiety on heart rate variability, considering two specific times: hospitalization and before surgery. In this analytical and cross-sectional study, the Hospital Anxiety and Depression Scale (HADS) was used to classify anxiety levels. Methodology: The time series of RR intervals were collected by Polar® monitor. Nonlinear methods and decision tree algorithm were combined with HADS scale to analyze the influence of the preoperative period on heart rate variability. The nonlinear methods used detrended fluctuation analysis (DFA), recurrence quantification analysis (RQA), and central tendency measure (CTM). Results: Among the 42 study participants, 13 (31%) were classified as anxious at hospital admission. The applied time domain methods found an increase in the heart rate variability (HRV) values in all features analyzed (p < 0.05). CTM method showed HRV reduction for the values considering radius between 6 and 20 milliseconds (p < 0.05). Conclusion: The anxiety identified at admission is directly related to the reduction in heart rate variability demonstrated by nonlinear methods, such as the central tendency measure.


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