@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 = "27 abr. 2024"
}