Name
Abstract | ||
|---|---|---|
The aim of our study was to employ novel nonlinear synchronization approaches as a tool to detect baroreflex impairment in young patients with subclinical autonomic dysfunction in Type 1 diabetes mellitus (DM) and compare them to standard linear baroreflex sensitivity (BRS) methods. We recorded beat-to-beat pulse interval (PI) and systolic blood pressure (SBP) in 14 DM patients and 14 matched healthy controls. We computed the information domain synchronization index (IDSI), cross-multiscale entropy, joint symbolic dynamics, information-based similarity index (IBSI) in addition to time domain and spectral measures of BRS. This multi parametric analysis showed that baroreflex gain is well-preserved, but the time delay within the baroreflex loop is significantly increased in patients with DM. Further, the level of similarity between blood pressure and heart rate fluctuations was significantly reduced in DM. In conclusion, baroreflex function in young DM patients is changed. The quantification of nonlinear similarity and baroreflex delay in addition to baroreflex gain may provide an improved diagnostic tool for detection of subclinical autonomic dysfunction in DM. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s11517-010-0707-x | Med. Biol. Engineering and Computing |
Keywords | Field | DocType |
baroreflex sensitivitydiabetes mellitus � nonlinear analysissynchronization,symbolic dynamics,blood pressure,indexation,parametric analysis,diabetes mellitus,time domain,systolic blood pressure | Nonlinear system,Baroreflex,Pulse (signal processing),Blood pressure,Artificial intelligence,Heart rate,Computer vision,Diabetes mellitus,Internal medicine,Cardiology,Subclinical infection,Type 1 diabetes,Mathematics,Endocrinology | Journal |
Volume | Issue | ISSN |
49 | 3 | 1741-0444 |
Citations | PageRank | References |
8 | 1.32 | 3 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Javorka | 1 | 39 | 10.94 |
| Zuzana Lazarova | 2 | 9 | 2.36 |
| Ingrid Tonhajzerova | 3 | 9 | 3.71 |
| Zuzana Turianikova | 4 | 11 | 5.82 |
| Natasa Honzikova | 5 | 8 | 1.66 |
| Bohumil Fiser | 6 | 8 | 1.32 |
| Kamil Javorka | 7 | 9 | 2.81 |
| Mathias Baumert | 8 | 36 | 11.50 |