Assessment of heart rate variability by application of central tendency measure

• Published in: Medical & biological engineering & computing Vol. 53; no. 11; pp. 1231 - 1237
• Main Authors: dos Santos, Laurita, Barroso, Joaquim J., Macau, Elbert E. N., de Godoy, Moacir F.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2015; Springer Nature B.V
• Subjects: Adult; Adults; Aged; Alzheimer's disease; Analysis; Arteries; Assessments; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Computer Applications; Coronary vessels; Disease; Electrocardiography - methods; Heart rate; Heart Rate - physiology; Heart surgery; Homeostasis; Human Physiology; Humans; Imaging; Intensive care; Interval arithmetic; Intervals; Middle Aged; Monitors; Nonlinear dynamics; Nonlinearity; Original Article; Radiology; Signal Processing, Computer-Assisted; Studies; Time series; Veins & arteries; Young Adult; Young adults; Heart rate variability; RR interval time series; Central tendency measure
• ISSN: 0140-0118; 1741-0444; 1741-0444
• DOI: 10.1007/s11517-015-1390-8

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.