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@article{946044,
author = {Kana, Michel and Holčík, Jiří},
article_number = {3},
keywords = {markers of autonomic nervous activity parasympathetic tone sympathetic tone Valsalva maneuver heart rate variability},
language = {eng},
issn = {1746-8094},
journal = {Biomedical Signal Processing and Control},
title = {Mathematical model-based markers of autonomic nervous activity during Valsalva Maneuver and comparison to heart rate variability},
volume = {6/2011},
year = {2011}
}
TY - JOUR
ID - 946044
AU - Kana, Michel - Holčík, Jiří
PY - 2011
TI - Mathematical model-based markers of autonomic nervous activity during Valsalva Maneuver and comparison to heart rate variability
JF - Biomedical Signal Processing and Control
VL - 6/2011
IS - 3
SP - 251-260
EP - 251-260
PB - Elsevier
SN - 17468094
KW - markers of autonomic nervous activity parasympathetic tone sympathetic tone Valsalva maneuver heart rate variability
N2 - This work exhibits limitations of some time–frequency markers of heart rate variability (SDNN: standard deviation of normal-to-normal intervals, RMSSD: root mean square successive difference of normal-tonormal intervals, LF: power of low frequency components 0.015–0.15 Hz, HF: power of high frequency components 0.15–0.4 Hz) as tool for assessing autonomic nervous activity on the cardiovascular system during the Valsalva Maneuver (VM) and proposes a new approach based on a physiologically based mathematical model. Our mathematical model fits measured heart rate and galvanic skin response during intra-thoracic and intra-abdominal pressure elevation, simulates the baroreflex and estimates parameters that should quantify mean autonomic tone of parasympathetic activity (MATpar), maximal autonomic tone of parasympathetic activity (MATpar, total autonomic tone of sympathetic activity (TATsym) and autonomic tone balance (ATB) on 5 healthy subjects. An extended statistical analysis including multivariable linear regression analysis and correlation analysis was performed in order to study patterns of variation of our model-based estimates and possible relationships with time–frequency markers of heart rate variability during the tachycardia phase 2 and bradycardia phase 4 of the VM. Results suggest that statistical quantities derived from mathematical models of cardiovascular control provide useful information for assessing the distinct contribution of sympathetic and parasympathetic branches on heart rate variability during the Valsalva Maneuver.
ER -
KANA, Michel a Jiří HOLČÍK. Mathematical model-based markers of autonomic nervous activity during Valsalva Maneuver and comparison to heart rate variability. \textit{Biomedical Signal Processing and Control}. Elsevier, 2011, roč.~6/2011, č.~3, s.~251-260. ISSN~1746-8094.
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