Effect of β-adrenoblockers on heart rate variability in awake and narcotized rats

Сальников, Е. В.; Фатеев, М. М.; Сидоров, А. В.; Федоров, В. Н.; Григорьева, М. В.

doi:10.1007/s10517-007-0359-5

Cited by 4 publications

(10 citation statements)

References 7 publications

(8 reference statements)

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“…This appears as strengthening of the non-respiratory component of sinus arrhythmia and emergence of slow waves of increasingly greater orders. On our own and literary data [37][38][39][40] we developed a model of neuroautonomic HR regulation. The model was built about the theory of R.М.…”

Section: Physiological Foundations Of Heart Rate Variabilitymentioning

confidence: 99%

Heart rate variability analysis: physiological foundations and main methods

Baevsky¹,

Chernikova²

2017

Cardiometry

128

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The article presents the main provisions of the methodology for the analysis of heart rate variability (HRV), which is now actively and widely implemented in many fields of medicine and applied physiology. This methodology was first developed in space medicine, where, already during the first manned spaceflights, there was a need in operative assessment of the person's reactions and abilities to maintain high performance and good level of health under different stress conditions.The HRV analysis methodology is based on the measurement of a consecutive series of cardiac cycle durations, for which electrocardiography, rheocardiography, ballistic cardiography, etc., can be used. The resulting numerical series are subjected to mathematical analysis using statistical, spectral and other methods. The results are interpreted as medical and physiological criteria of the functional state of the organism.Based on the mathematical model, a probabilistic approach to the prediction of pathological conditions was proposed. Indicators of the stress degree of regulatory systems and their functional reserve, which are calculated from the HRV analysis data, are used in the mathematical model of the functional states. In order to obtain the decision rules for the recognition of identified classes of functional states the stepwise discriminant analysis has been applied.Equations of the discriminant function were obtained. This article examines in detail this new probabilistic approach to the HRV analysis and provides examples of its use for assessing the functional state of cosmonauts at various stages of long space flights.

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Section: Physiological Foundations Of Heart Rate Variabilitymentioning

confidence: 99%

Heart rate variability analysis: physiological foundations and main methods

Baevsky¹,

Chernikova²

2017

Cardiometry

128

View full text Add to dashboard Cite

show abstract

“…During calculation of geometric characteristics the histogram step was 2 msec. LF range was 0.02-0.75 Hz, HF range was 0.75-3.0 Hz [7].…”

Section: Methodsmentioning

confidence: 89%

“…ECG was recorded in second standard lead for 4 minutes using program L-GRAPH provided with ADC. Viewing and primary processing of ECG data were carried out using software RRMatch, and final calculation of HRV parameters and their graphic rendition were performed in program CRGraph [7].…”

Section: Methodsmentioning

confidence: 99%

“…For HRV analysis were used characteristics of temporal analysis [7] (heart rate, standard deviation of normal R-R intervals, coefficient of variation, square root from sum of squared differences of successive R-R intervals values), geometry analysis (range, mode, mode amplitude, stress-index, skatterogram area, ratio of skatterogram width to it's length) and spectral analysis: power of low frequency waves (LF), power of high frequency waves (HF), total spectrum power, relative value of LF wave power, relative value of HF wave power, and vagosympathetic interaction index. During calculation of geometric characteristics the histogram step was 2 msec.…”

Section: Methodsmentioning

confidence: 99%

“…There are only few studies carried out to evaluate effects of β-adrenoblockers on HRV in humans with various cardiovascular pathologies [4,6,13] and on HRV in healthy animals after single dose [1,10,11,14,15]. Previously we showed that β-adrenoblockers significantly increase 6 month survival in rats with experimental CHF [9] and assessed its effects on HRV of healthy anesthetized animals and awake animals under conditions of short-term restrain stress [7].…”

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confidence: 99%

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Heart Rate Variability in Rats with Experimental Chronic Heart Failure and Long-Term Exposure to β-Adrenoblockers

Сальников

2009

Bull Exp Biol Med

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Simulation of chronic heart failure in rats led to an increase in heart rate variability and decrease in heart rate. All beta-blockers also promoted the heart rate variability augmentation in ill animals. The most potent effects on heart rate variability were produced by pindolol, atenolol, and propranolol. Bisoprolol and metoprolol affected heart rate and heart rate variability in less extent, and nebivolol normalized a part of heart rate variability parameters.

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Heart Rate Variability in Kittens during Early Postnatal Ontogeny

et al. 2009

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Heart rate variability in awake kittens under resting conditions was studied during the following periods of postnatal ontogeny: newborn animals, 10-day-old animals (eye opening), 20-day-old animals (rise on the legs), and 30-day-old animals (control). Newborn animals were characterized by high activity of the sympathoadrenal system due to birth stress. The effect of stress factors increased in 10-day-old kittens, which was related to the start of functioning of distant receptors and delivery of new environmental information into the brain. The acquisition of upright posture and locomotion on the limbs were accompanied by activation of the vagus nerve in kittens. Significant changes in temporal, geometric, and spectral characteristics illustrate an increase in adaptability of the organism and possibility for independent living (particularly, by the 30th day of life).

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Effect of β-adrenoblockers on heart rate variability in awake and narcotized rats

Cited by 4 publications

References 7 publications

Heart rate variability analysis: physiological foundations and main methods

Heart rate variability analysis: physiological foundations and main methods

Heart Rate Variability in Rats with Experimental Chronic Heart Failure and Long-Term Exposure to β-Adrenoblockers

Heart Rate Variability in Kittens during Early Postnatal Ontogeny

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