Name
Abstract | ||
|---|---|---|
Heart rate variability (HRV) represents the cardiovascular control mediated by the autonomic nervous system and other mechanisms. In the established task force HRV monitoring different cardiovascular control mechanisms can approximately be identified at typical frequencies of heart rate oscillations by power spectral analysis. HRV measures assessing complex and fractal behavior partly improved clinical risk stratification. However, their relationship to (patho-)physiology is not sufficiently explored. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.cmpb.2006.01.002 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Heart rate variability,Complexity,Autonomic information flow | Information flow (information theory),Cardiovascular Physiological Phenomena,Autonomic nervous system,Task force,Heart rate variability,Computer science,Simulation,Internal medicine,Cardiology,Heart rate,Statistics,Power spectral analysis | Journal |
Volume | Issue | ISSN |
81 | 3 | 0169-2607 |
Citations | PageRank | References |
3 | 1.01 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dirk Hoyer | 1 | 39 | 12.37 |
| Holger Friedrich | 2 | 3 | 1.01 |
| B Frank | 3 | 17 | 3.13 |
| B Pompe | 4 | 31 | 8.45 |
| Rafal Baranowski | 5 | 129 | 16.68 |
| Jan J Zebrowski | 6 | 3 | 1.01 |
| Hendrik Schmidt | 7 | 3 | 1.01 |