Assessment of heart rate variability by application of central tendency measure.

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.

journal_name

Med Biol Eng Comput

authors

dos Santos L,Barroso JJ,Macau EE,de Godoy MF

doi

10.1007/s11517-015-1390-8

subject

Has Abstract

pub_date

2015-11-01 00:00:00

pages

1231-7

issue

11

eissn

0140-0118

issn

1741-0444

pii

10.1007/s11517-015-1390-8

journal_volume

53

pub_type

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