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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Assessment of heart rate variability by application of central tendency measure

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Author(s):
dos Santos, Laurita [1] ; Barroso, Joaquim J. [2] ; Macau, Elbert E. N. [2] ; de Godoy, Moacir F. [3]
Total Authors: 4
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
Total Affiliations: 3
Document type: Journal article
Source: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING; v. 53, n. 11, p. 1231-1237, NOV 2015.
Web of Science Citations: 2
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 type: Research Projects - Thematic Grants