- AutorIn
- Kai Li
- Heinz Rüdiger
- Rocco Haase
- Dr. Tjalf Ziemssen
- Titel
- An Innovative Technique to Assess Spontaneous Baroreflex Sensitivity with Short Data Segments: Multiple Trigonometric Regressive Spectral Analysis
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-233899
- Quellenangabe
- Frontiers in Physiology (2018), 9, ISSN: 1664-042X. DOI: 10.3389/fphys.2018.00010. Artikelnr.: 10
- Erstveröffentlichung
- 2018
- Abstract (EN)
- Objective: As the multiple trigonometric regressive spectral (MTRS) analysis is extraordinary in its ability to analyze short local data segments down to 12 s, we wanted to evaluate the impact of the data segment settings by applying the technique of MTRS analysis for baroreflex sensitivity (BRS) estimation using a standardized data pool. Methods: Spectral and baroreflex analyses were performed on the EuroBaVar dataset (42 recordings, including lying and standing positions). For this analysis, the technique of MTRS was used. We used different global and local data segment lengths, and chose the global data segments from different positions. Three global data segments of 1 and 2 min and three local data segments of 12, 20, and 30 s were used in MTRS analysis for BRS. Results: All the BRS-values calculated on the three global data segments were highly correlated, both in the supine and standing positions; the different global data segments provided similar BRS estimations. When using different local data segments, all the BRS-values were also highly correlated. However, in the supine position, using short local data segments of 12 s overestimated BRS compared with those using 20 and 30 s. In the standing position, the BRS estimations using different local data segments were comparable. There was no proportional bias for the comparisons between different BRS estimations. Conclusion: We demonstrate that BRS estimation by the MTRS technique is stable when using different global data segments, and MTRS is extraordinary in its ability to evaluate BRS in even short local data segments (20 and 30 s). Because of the non-stationary character of most biosignals, the MTRS technique would be preferable for BRS analysis especially in conditions when only short stationary data segments are available or when dynamic changes of BRS should be monitored.
- Andere Ausgabe
- DOI: 10.3389/fphys.2018.00010
- Link zum Artikel, der zuerst in der Zeitschrift 'Frontiers in Physiologie' erschienen ist.
Link: https://doi.org/10.3389/fphys.2018.00010 - Freie Schlagwörter (DE)
- autonomes Nervensystem, Baroreflex-Funktion, Baroreflex-Empfindlichkeit, Datensegment, multiple trigonometrische regressive Spektralanalyse, TU Dresden, Publikationsfond
- Freie Schlagwörter (EN)
- autonomic nervous system, baroreflex function, baroreflex sensitivity, data segment, multiple trigonometric regressive spectral analysis, TU Dresden, Publishing Fund
- Klassifikation (DDC)
- 610
- Klassifikation (RVK)
- XA 10000
- Verlag
- Frontiers, Lausanne
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-233899
- Veröffentlichungsdatum Qucosa
- 08.06.2018
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
- CC BY 4.0