| Comparison of BRS estimates during mild dynamical exercise and recovery. | |
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MedLine Citation:
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PMID: 18001947 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Ten estimates of baroreflex sensitivity (BRS) were compared during progressive graded exercise: they were computed from sequence method, spectral and cross-spectral analysis methods, and parametric model-based methods. Results showed baroreflex control of heart rate (HR) changes as a function of the intensity of exercise, as well as the resetting phenomenon. Sequence, spectral and cross-spectral methods generally provided higher estimates than parametric model-based ones. This bias was particularly evident during exercise, and in the high frequency (HF) respiratory band. Results may suggest that the interaction of respiration and baroreflex function play an important in the cardiovascular adaptation from rest to exercise and from exercise to the recovery period. |
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Authors:
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Frédéric Vallais; Giuseppe Baselli; Daniela Lucini; Massimo Pagani; Alberto Porta |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2007 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2007 |
Date Detail:
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Created Date: 2007-11-16 Completed Date: 2008-03-25 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 291-4 Citation Subset: IM |
Affiliation:
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Dipartimento di Bioingegenria, Politecnico di Milano, Piazza Leonardo da Vinci, 20133 Milan, Italy. frederic.vallais@polimi.it |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Baroreflex / physiology* Exercise / physiology* Exercise Test / methods Heart Rate / physiology Humans Male Models, Cardiovascular* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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