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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cimponeriu, L. Bezerianos, A. |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Med. Phys., Patras Univ., Greece (Cimponeriu, L.) |
| Abstract | Recurrence plot analysis has been applied to heart rate variability (HRV) data to identify hidden rhythms and complex dynamical patterns of fluctuations. Since the autonomic nervous system (ANS) is the primary regulating factor of HRV, derived measures as well as structural and qualitative aspects of these plots may be associated to different states or changes in neural control. A procedural feature of recurrence plots requires reconstruction of the dynamics in an equivalent topological space. The unknown dimensionality of HRV dynamics confounds the interpretation of measures, such as percent recurrence, percent determinism or entropy that have been proposed to characterize these plots. We observed that the structural stability manifested by recurrence plots was largely independent of increasing embedding dimension so that faithful characterization was feasible without embedding. |
| Starting Page | 595 |
| Ending Page | 598 |
| File Size | 642794 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780356144 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.1999.826041 |
| 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 Control systems Electrocardiography Fluctuations Structural engineering Cardiology Data analysis Time series analysis Pathology Drugs |
| Content Type | Text |
| Resource Type | Article |
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