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New Insights into the Relationship between Poincaré Plot Geometry and Linear Measures of Heart Rate Variability
| Content Provider | Semantic Scholar |
|---|---|
| Author | Brennan, Michael Palaniswami, Marimuthu Kamen, Peter |
| Abstract | The Poincaré plot is an emerging Heart Rate Variability (HRV) analysis technique, the geometry of which has been shown to distinguish between healthy and unhealthy subjects in clinical settings. The Poincaré plot is able to display nonlinear aspects of the interval sequence and is therefore of interest in characterizing the nonlinear aspects of HRV. The problem is, how do we quantitatively characterize the geometry of the plot to capture useful descriptors that are independent of existing HRV measures? In this paper, we investigate a popular existing category of techniques and show that they measure linear aspects of the intervals which existing HRV indices already specify. The fact that these methods appear insensitive to the nonlinear characteristics of the intervals is an important finding because the Poincaré plot is primarily a nonlinear technique. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.dtic.mil/dtic/tr/fulltext/u2/a411633.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Heart rate variability Nonlinear system Pierre Robin Syndrome Poincaré plot width |
| Content Type | Text |
| Resource Type | Article |
