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| Content Provider | Springer Nature Link |
|---|---|
| Author | Santos, Laurita Barroso, Joaquim J. Macau, Elbert E. N. Godoy, Moacir F. |
| Copyright Year | 2015 |
| 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. |
| Starting Page | 1231 |
| Ending Page | 1237 |
| Page Count | 7 |
| File Format | |
| ISSN | 01400118 |
| Journal | Medical and Biological Engineering and Computing |
| Volume Number | 53 |
| Issue Number | 11 |
| e-ISSN | 17410444 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-09-22 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | RR interval time series Central tendency measure Heart rate variability Human Physiology Biomedical Engineering Imaging Radiology Computer Applications |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering Computer Science Applications |
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