| Autor: |
dos Santos L; Universidade do Vale do Paraíba - UNIVAP, São José dos Campos, São Paulo, Brazil. lauritas9@gmail.com., Barroso JJ; Instituto Nacional de Pesquisas Espacias - INPE, São José dos Campos, São Paulo, Brazil., Macau EE; Instituto Nacional de Pesquisas Espacias - INPE, São José dos Campos, São Paulo, Brazil., de Godoy MF; Faculdade de Medicina de São José do Rio Preto - Famerp, São José do Rio Preto, São Paulo, Brazil. |
| Jazyk: |
angličtina |
| Zdroj: |
Medical & biological engineering & computing [Med Biol Eng Comput] 2015 Nov; Vol. 53 (11), pp. 1231-7. Date of Electronic Publication: 2015 Sep 22. |
| DOI: |
10.1007/s11517-015-1390-8 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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