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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | D'Addio, G. Pinna, G.D. La Rovere, M.T. Maestri, R. Furgi, G. Rengo, F. |
| Copyright Year | 2001 |
| Description | Author affiliation: Centro Medico di Telese, Fondazione S. Maugeri, Telese Terme, Italy (D'Addio, G.) |
| Abstract | The identification of prognostic indexes in chronic heart failure (CHF) patients represents a challenging task in the analysis of heart rate variability (HRV) We thus assessed the prognostic value of novel computer-generated quantitative descriptors of Poincare/spl acute/ plots (PPlots) of HRV in a case-control study over 13 CHF patients who experienced cardiac death and 13 matched CHF controls. All subjects underwent Holter recording with computation of the standard deviation of normal-to-normal intervals (SDNN) and PPlot analysis. While visual classification of PPlots and SDNN did not significantly differentiate the controls from the deceased patients, a highly significant association with outcome was found for quantitative PPlot indexes. This preliminary study shows that automatic quantification of PPlots allows a better discrimination between patients at risk of cardiac events and controls than does a visual classification of plot features and time-domain HRV. |
| Starting Page | 57 |
| Ending Page | 60 |
| File Size | 383200 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372662 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.2001.977590 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-09-23 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heart rate variability Automatic control Heart rate Risk management Medical treatment Frequency domain analysis Cardiac disease Cardiovascular diseases Failure analysis Time domain analysis |
| Content Type | Text |
| Resource Type | Article |
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