Assessment of heart rate variability by application of central tendency measure

Author(s)

dos Santos, Laurita ^[1] ; Barroso, Joaquim J. ^[2] ; Macau, Elbert E. N. ^[2] ; de Godoy, Moacir F. ^[3]

Affiliation

^[1] Univ Vale Paraiba UNIVAP, Sao Jose Dos Campos, SP - Brazil

^[2] Inst Nacl Pesquisas Espacias, Sao Jose Dos Campos, SP - Brazil

^[3] Fac Med Sao Jose do Rio Preto FAMERP, Sao Jose Do Rio Preto, SP - Brazil

• Document type: Journal article
• Source: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING; v. 53, n. 11, p. 1231-1237, NOV 2015.
• Web of Science Citations: 1

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. (AU)

• FAPESP's process: 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications
• Grantee: Elbert Einstein Nehrer Macau
• Support Opportunities: Research Projects - Thematic Grants