@Article{SantosBarrMacaGodo:2015:AsHeRa,
author = "Santos, Laurita dos and Barroso de Castro, Joaquim Jos{\'e} and
Macau, Elbert Einstein Nehrer and Godoy, Moacir F. de",
affiliation = "{Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Faculdade de Medicina de S{\~a}o
Jos{\'e} do Rio Preto (Famerp)}",
title = "Assessment of heart rate variability by application of central
tendency measure",
journal = "Medical and Biological Engineering and Computing",
year = "2015",
volume = "53",
number = "11",
pages = "1231--1237",
month = "Sept.",
keywords = "Central tendency measure, Heart rate variability, RR interval time
series.",
abstract = "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.",
doi = "10.1007/s11517-015-1390-8",
url = "http://dx.doi.org/10.1007/s11517-015-1390-8",
issn = "0140-0118",
language = "en",
targetfile = "2015_santos.pdf",
urlaccessdate = "28 abr. 2024"
}