%0 Journal Article
%4 sid.inpe.br/mtc-m21b/2015/11.26.15.40
%2 sid.inpe.br/mtc-m21b/2015/11.26.15.40.47
%@doi 10.1007/s11517-015-1390-8
%@issn 0140-0118
%T Assessment of heart rate variability by application of central tendency measure
%D 2015
%8 Sept.
%9 journal article
%A Santos, Laurita dos,
%A Barroso de Castro, Joaquim José,
%A Macau, Elbert Einstein Nehrer,
%A Godoy, Moacir F. de,
%@affiliation Universidade do Vale do Paraíba (UNIVAP)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Faculdade de Medicina de São José do Rio Preto (Famerp)
%@electronicmailaddress lauritas9@gmail.com
%@electronicmailaddress joaquim.castro@inpe.br
%@electronicmailaddress elbert.macau@inpe.br
%B Medical and Biological Engineering and Computing
%V 53
%N 11
%P 1231-1237
%K Central tendency measure, Heart rate variability, RR interval time series.
%X The heart rate variability (HRV) is an indicator of the subject homeostasis alterations. For a healthy individual, the HRV shows a nonlinear behavior, thus requiring a nonlinear approach to provide additional information about HRV dynamics. In this work, the nonlinear techniques, central tendency measure (CTM) and second-order difference plot, are applied to HRV analysis using the successive difference of RR intervals in a time series. In total are analyzed 170 tachograms collected by Polar monitor and then classified into three groups according to a cardiologist: healthy young adults, adults in preoperative evaluation for coronary artery bypass grafting for severe coronary disease and premature newborns. This approach identified the tachograms with high and low variability, which demonstrates the ability of CTM to classify and quantitatively characterize cardiac RR intervals.
%@language en
%3 2015_santos.pdf