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2013
DOI: 10.1016/j.medengphy.2012.06.020
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Comparison of different methods of heart rate entropy analysis during acute anoxia superimposed on a chronic rat model of pulmonary hypertension

Abstract: a b s t r a c tAcute life-threatening situations are particularly critical when superimposed on chronic diseases. The objective of this study was the assessment of heart rate (HR) dynamics during episodes of acute anoxia superimposed on a rat model of chronic pulmonary hypertension. In 10 adult Wistar rats, five weeks after pulmonary hypertension induction with Monocrotaline, we analysed eight 1-min HR segments, during episodes of baseline, mechanical ventilation and acute anoxia, using linear indices, approxi… Show more

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Cited by 5 publications
(4 citation statements)
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References 45 publications
(82 reference statements)
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“…Cutoff frequencies divided the power spectrum into two main parts, LF – low frequency (0.04–1.0 Hz) and HF – high frequency (1.0–3.0 Hz), as previously described [12, 13]. …”
Section: Methodsmentioning
confidence: 99%
“…Cutoff frequencies divided the power spectrum into two main parts, LF – low frequency (0.04–1.0 Hz) and HF – high frequency (1.0–3.0 Hz), as previously described [12, 13]. …”
Section: Methodsmentioning
confidence: 99%
“…These findings suggest that the mother also increases the activity of her autonomous nervous system and decreases the activity of more complex heart rate control systems, but contrary to the fetus, also increases in sympatho-vagal balance were observed with the progression of labor except in acidemic cases. The results associated with the progression of labor are not surprising, as they represent responses to stress that have been previously described in laboratory and human studies [11][12][13], characterized by an increase followed by a decrease in sympatho-vagal imbalance. Those associated with fetal acidemia may denote a moderate response to stress on the maternal side, while the fetus has a more marked reaction associated with lower pO 2 values and higher hemodynamic instability.…”
Section: Discussionmentioning
confidence: 53%
“…Nevertheless, the fitting equations provided in Figure 6 can be used for the choice of the optimal fuzzy exponents in the dataset evaluated here. The measure stationarity is a possible issue concerning long-term time-series as previously pointed out [ 27 ]. However, all time-series and analyzed segments are supposed to be taken at baseline physiological state.…”
Section: Discussionmentioning
confidence: 99%