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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Signorini, M.G. Bellotti, M. Cerutti, S. |
| Copyright Year | 1999 |
| Description | Author affiliation: Dipt. di Bioingegneria, Politecnico di Milano, Italy (Signorini, M.G.) |
| Abstract | We propose new methods for the extraction of self-similarity characteristics from 24-hour Heart Rate Variability signals (HRV). The first method is deduced from the "Second Order Difference plot": the distribution dispersion obtained by a sequence HRV appears to be an estimation of the long-term correlation (H) of the signal. The second method (CYCLES) provides a decomposition of the self-similarity characteristics as a fraction of the time scales. We analyze 10 Normal, 10 Heart Failure (HF) and 2 transplanted subjects. Results show that, in normal subjects, the signal information is only present in very-short and long period (control scales), as the pathological group has different and heterogeneous patterns, with a global effect of reduced correlation in the control scales. |
| Starting Page | 527 |
| Ending Page | 530 |
| File Size | 374780 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780356144 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.1999.826024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-09-26 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heart rate variability Doped fiber amplifiers Dispersion Shape Heart rate Failure analysis Pathology Signal analysis Signal generators Rhythm |
| Content Type | Text |
| Resource Type | Article |
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