DocumentCode
636589
Title
A model-based approach for the evaluation of vagal and sympathetic activities in a newborn lamb
Author
Le Rolle, Virginie ; Ojeda, Daniel ; Beuchee, Alain ; Praud, Jean-Paul ; Pladys, Patrick ; Hernandez, Alfredo I.
Author_Institution
INSERM, Rennes, France
fYear
2013
fDate
3-7 July 2013
Firstpage
3881
Lastpage
3884
Abstract
This paper proposes a baroreflex model and a recursive identification method to estimate the time-varying vagal and sympathetic contributions to heart rate variability during autonomic maneuvers. The baroreflex model includes baroreceptors, cardiovascular control center, parasympathetic and sympathetic pathways. The gains of the global afferent sympathetic and vagal pathways are identified recursively. The method has been validated on data from newborn lambs, which have been acquired during the application of an autonomic maneuver, without medication and under beta-blockers. Results show a close match between experimental and simulated signals under both conditions. The vagal and sympathetic contributions have been simulated and, as expected, it is possible to observe different baroreflex responses under beta-blockers compared to baseline conditions.
Keywords
cardiovascular system; electrocardiography; medical signal processing; ECG; autonomic maneuvers; baroreceptors; baroreflex model; beta-blockers; cardiovascular control center; electrocardiography; heart rate variability; model-based approach; newborn lamb; parasympathetic pathways; recursive identification method; sympathetic activity evaluation; sympathetic contribution; sympathetic pathways; time-varying vagal contribution; vagal activity evaluation; Baroreflex; Biological system modeling; Blood pressure; Computational modeling; Heart rate variability; Pediatrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6610392
Filename
6610392
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