Zeitschriftenartikel: „Heart rate calculation“

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Connolly, Declan A. J. "How Accurate Is Your Training Heart Rate Calculation?" Strength and Conditioning Journal 24, no. 5 (2002): 15–16. http://dx.doi.org/10.1519/00126548-200210000-00004.

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Sedliar, I. "Calculation the intensity of aerobic exercise in fitness." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 12(120) (December 25, 2019): 105–9. http://dx.doi.org/10.31392/npu-nc.series15.2019.12(120)19.21.

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According to the vast majority of experts, aerobic exercises are basic in fitness. Their effectiveness in the practice involves the rational regulation of load parameters, one of which is the intensity of exercises. However as practice shows the proposed methods for determining the necessary intensity of aerobic exercises do not quite adequately take into account the individual characteristics - age and fitness level. The purpose of the research is to evaluate methods for calculating intensity of aerobic exercise in fitness. In our studies we proceeded from the fact that calculation methods should consider two main trends.  At the aging heart rate at rest slightly rises, and the upper pulse during exercises decreases. A higher fitness connected with significant decrease in heart rate at rest and an increase in its upper rate at critical intensity (expanding the range of heart rate during exercise). According to the vast majority of specialists, aerobic exercise is basic in wellness physical culture. Their effective application in the practice of wellness work implies rational regulation of the load parameters, one of which is the intensity of work.  As a result the analysis of real situations it was demonstrated that the calculation intensity of aerobic activity according to heart rate indicators using formulas that take into account only the age of the practitioners is applicable in a certain age range (up to about 50-55 years). As age increases the correctness of such calculations decreases and loses its meaning in certain point due to the fact that calculated indicators of heart rate during exercises may be less than those at rest. Karvonen formula which takes into account the individual level of physical fitness for heart rate at rest is more accurate for determining heart rate in aerobic exercise. Its using allows us more correctly determine the lower pulse during exercises declining it because decrease in resting heart rate. However this formula also declining the upper pulse during exercises, although it should increase as the cardiovascular system improves.

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Kołodziej, Marcin, Andrzej Majkowski, Remigiusz J. Rak, Bartosz Świderski, and Andrzej Rysz. "System for automatic heart rate calculation in epileptic seizures." Australasian Physical & Engineering Sciences in Medicine 40, no. 3 (2017): 555–64. http://dx.doi.org/10.1007/s13246-017-0557-z.

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4

Ahmad, Imteyaz. "A Time Domain Method for Calculation of Heart Rate Variability." International Journal of Computer Applications 176, no. 40 (2020): 14–17. http://dx.doi.org/10.5120/ijca2020920482.

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Chabot, Denis, Max Bayer, and André de Roos. "Instantaneous heart rates and other techniques introducing errors in the calculation of heart rate." Canadian Journal of Zoology 69, no. 4 (1991): 1117–20. http://dx.doi.org/10.1139/z91-156.

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Data on heart rate can be analyzed in terms of beats per unit of time (heart rate) or its reciprocal, time per beat (interbeat interval). We show that counting beats (including fractions), averaging interbeat intervals, and measuring the time for a fixed number of beats are correct techniques to measure heart activity within observation periods. QRS counts are less precise, but not systematically biased. Conversely, averaging instantaneous heart rates always overestimates true heart rate. Arithmetic means across trials of equal duration are correct only when heart activity for each trial is expressed as mean heart rate. For observation periods with equal numbers of beats, heart activity for each trial must be expressed as mean interbeat interval. A literature survey showed that biased techniques were frequently used to calculate heart rate, and that about half of the studies did not provide sufficient information on the methods used.

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Sedliar, Iurii. "Calculation of the intensity of health improving aerobic loads." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 5(125) (September 27, 2020): 135–39. http://dx.doi.org/10.31392/npu-nc.series15.2020.5(125).27.

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The article analyzes the methods of calculating the intensity of aerobic health-improving loads and presents own solution the problem. The effective use of aerobic exercises is based on the formula calculation of the parameters of physical activity corresponding to the individual characteristics of the practitioners, among which one of the most important is intensity. However, the practical application of the proposed formulas indicates that they do not always adequately take into account the most important, in this case, age characteristics and the functional state of the cardiovascular system. The purpose of the research is to develop a method for determining the intensity of aerobic health-improving loads which makes it possible to calculate the target heart rate more adequately than the currently existing options. Among the existing formulas the most adequate for calculating heart rate in the process of health-improving aerobic exercise is Karvonen's formula which takes into account not only age but also heart rate at rest which reflect the functional state of the cardiovascular system. Its advantage lies in the more correct determination of the lower target pulse. The disadvantage of this formula is that it reduces, rather than increases, the upper target pulse due to the increased efficiency of the cardiovascular system. During the theoretical research it was established that it was impossible to develop a single formula that would allow to correctly determine the upper and lower target pulse. In this regard we came to the conclusion that to calculate the lower heart rate it is necessary to use the Karvonen formula and the upper tagert puls should be determined by the formula developed by us. It is based on the Haskell & Fox formula (HRmax = 220 - age). The proposed additions determine the upper heart rate as the result of subtracting the individual heart rate from the average age heart rate. A procedure for calculating specific puls based on knowledge of the upper and lower heart rate is proposed.

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Sharpley, Christopher F. "Differences in pulse rate and heart rate and effects on the calculation of heart rate reactivity during periods of mental stress." Journal of Behavioral Medicine 17, no. 1 (1994): 99–109. http://dx.doi.org/10.1007/bf01856885.

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Rajib, R. U. D., Moon Ho Lee, Shadiul Hoque, Rayhan Sharif, and Syeedur Rahman. "Heart Rate Calculation by Using Filtering Module Analysis from Electrocardiogram Data." Advanced Science, Engineering and Medicine 6, no. 1 (2014): 108–10. http://dx.doi.org/10.1166/asem.2014.1463.

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Lu, Yujia, Ping Du, Xiaotian Xiong, Lang Qian, Jianrong Ou, and Jinqu Zhang. "A Heart Rate Calculation Method Based on Dynamic Rectangular Window Interception." Journal of Physics: Conference Series 1168 (February 2019): 022038. http://dx.doi.org/10.1088/1742-6596/1168/2/022038.

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ChuDuc, Hoang, Phyllis K. Stein, and Hung PhamManh. "Effect of Calculation Algorithm on Heart Rate Variability by Chaos Theory." International Journal of Electronics and Electrical Engineering 1, no. 3 (2013): 145–48. http://dx.doi.org/10.12720/ijeee.1.3.145-148.

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Shelley, Kirk H. "Photoplethysmography: Beyond the Calculation of Arterial Oxygen Saturation and Heart Rate." Anesthesia & Analgesia 105, On Line Suppl. (2007): S31—S36. http://dx.doi.org/10.1213/01.ane.0000269512.82836.c9.

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Toth-Laufer, Edit, and Annamaria R. Varkonyi-Koczy. "Personal-Statistics-Based Heart Rate Evaluation in Anytime Risk Calculation Model." IEEE Transactions on Instrumentation and Measurement 64, no. 8 (2015): 2127–35. http://dx.doi.org/10.1109/tim.2014.2376111.

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Li, Zhang Yong, Xiao Bo Chen, Rui Leng, and Fei Ba Chang. "Measure Energy Consumption Combined Heart Rate and Acceleration." Advanced Materials Research 680 (April 2013): 597–601. http://dx.doi.org/10.4028/www.scientific.net/amr.680.597.

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This paper put forward a new kind of motion energy expenditure calculation model that combine movement heart rate, acceleration, height, gender, age, weight and other personalized parameters. In this model, using heart rate and personalized parameters to calculate the based energy consumption (BEE). Using acceleration and personalized parameters to calculate the movement work (EEact). The experimental results show that this method has a high accuracy in movement energy expenditure. So using this method can eliminate the contradiction between measurement accuracy and measuring cost.

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Zhang, Lu, Mei-Jia Huang, and Hui-Jin Wang. "A Novel Technique for Fetal Heart Rate Estimation Based on Ensemble Learning." Modern Applied Science 13, no. 10 (2019): 137. http://dx.doi.org/10.5539/mas.v13n10p137.

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The autocorrelation algorithm is the most commonly used method for extracting fetal heart rate from ultrasound Doppler fetal monitors. The traditional autocorrelation algorithm can not always extract the detection cycle accurately. During the calculation process, the heartbeat cycle may not be recognized, or the cycle may be doubled or halved recognized. Combining the characteristics of envelope curve with average magnitude difference function curve, this paper designs a set of extreme point search scheme and a fetal heart cycle recognition model based on ensemble learning to assist in screening the best fetal heart cycle. The aim of this study is to improve the precision of the fetal heart rate calculation. The experimental results show that the proposed method can effectively screen out the best fetal heart cycle with enhanced reliability and robustness.

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KUO, CHENG-DENG, YUH-SHOW TSAI, YAR-YI WANG, and BENJAMIN N. CHIANG. "THE HEART RATE AND HEART RATE VARIABILITY AFTER COMMENCEMENT OF EXERCISE ARE FRACTALS." Fractals 03, no. 02 (1995): 391–402. http://dx.doi.org/10.1142/s0218348x95000308.

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It is already well known that exercise can result in acceleration of heart rate (HR) and progressive withdrawal of vagal activity. However, the ways in which HR and the heart rate variability (HRV) change progressively during the initial stage of exercise have not been fully investigated. The aim of this study is to find a suitable mathematical description for the temporal evolutions of HR and HRV after the initiation of exercise, and to search for possible relation between HR and HRV during exercise in normal subjects. The index of HRV used in this study was the standard deviation (SD) of the heart beat intervals (RRI) measured within sequential steps of predetermined sampling period, and the HR is the inverse of the mean (Mn) of the RRI. We found that both Mn and SD of the RRI decrease progressively with increasing exercise time after the initiation of exercise. The temporal evolutions of both Mn and SD during exercise can be better described by power-law scaling relations. When different sampling periods were used in the calculation of Mn and SD of the RRI, there is self-similarity in time in the distribution of Mn and SD . These findings demonstrated that both HR and HRV after the initiation of exercise are temporal fractals. Fractal dimensions Dm and Ds, defined from the scaling exponents of the power-law scaling relations for HR and HRV, determine the rate of increase in HR and the rate of decrease in HRV after the initiation of exercise, respectively. Because of the fractal nature of HR and HRV during the early phase of exercise, the relation between HR and HRV during exercise can also be described by power-law scaling relation. Consequently, the HRV during exercise is inversely related to HR.

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Nagovitsyn, Roman, Elena Chelnokova, Olga Vaganova, Zhanna Smirnova, and Maxim Kutepov. "Calorimetry of students’ heart rate during exercises of various intensity." BIO Web of Conferences 26 (2020): 00033. http://dx.doi.org/10.1051/bioconf/20202600033.

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The purpose of the study: based on data analysis, to develop a formula for calorimetry of students’ heart rate during physical activity and experimentally prove the effectiveness of its application in the training process. The study participants (n=98) were divided by body weight into groups (n=7), regardless of gender and age (20-25 years). Various mobile devices with the function of heart rate calculation and monitoring of kilocalories burning were used in the implementation of control physical activities at different levels of intensity. Analysis of the obtained calorimetric data for each group and the level of training intensity allowed us to identify patterns and develop a formula based on them for an affordable and simple calculation of kilocalories. N=0.00168-0.098/P, where N is the number of kilocalories burned for 1 heart contraction per 1 kilogram of body weight, P is the heart rate in physical training (beats per minute). An experimental study confirmed the effectiveness of using the author’s formula of heart rate calorimetry for the accuracy and uniformity of kilocalories burning in students when they exercise aerobic physical activity.

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Tejera, E., A. Plain, A. Portelinha, J. L. H. Caceres, I. Rebelo, and J. M. Nieto-Villar. "Heart Rate Variability Complexity in the Aging Process." Computational and Mathematical Methods in Medicine 8, no. 4 (2007): 287–96. http://dx.doi.org/10.1080/17486700701776413.

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In the present work, we propose a discrete model to the characterization of heart rate variability (HRV) complexity in the aging process of healthy subjects. We apply the Shannon entropy on the basis of an alternative way to probability calculation and to define a new index taking into consideration the transition probability that is related to the physiological complexity of the system. Our results suggest that in the aging process the capability response decreases according to the reduction of the physiological complexity. In the oldest group, an alternative mechanism emerges to compensate for this lack of capability; however, this effect does not increase the physiological complexity. Concomitantly, we provide some physiological explanation for our results.

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Kashtalyan, O. A., and M. S. Prystrom. "Echocardiography indices, heart rate variability and cytokine profile in pregnant women." "Arterial’naya Gipertenziya" ("Arterial Hypertension") 15, no. 5 (2009): 585–89. http://dx.doi.org/10.18705/1607-419x-2009-15-5-585-589.

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Objective. To analyze heart rhythm variability, hemodinamics, pro- and anti-inflammatory plasma cytokines production in pregnant women. General clinical examination was carried out in both groups, echocardiography, Holter monitoring with subsequent calculation of generally accepted heart rate variability indices were performed. The circadian heart rate index (ratio day/night) was calculated. It was found that pregnancy-induced hypertension was accompanied by impaired cytokine balance. Altered immune homeostasis has been established to be a leading factor in the pattern of gestational complications.

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Hasibuan, Desima Klaudia, and Indra Hardian Mulyadi. "Real-Time Heart Rate Monitoring for Wearable Electrocardiography Using Filter-Based and Peak Threshold Algorithms: A Comparative Study." JURNAL INTEGRASI 10, no. 2 (2018): 54–58. http://dx.doi.org/10.30871/ji.v10i2.983.

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Wearable and wireless Electrocardiograph (ECG) enables real-time and long-term monitoring of heart rate (i.e. 24 hours). Several algorithms have been introduced to increase the accuracy of the heart rate calculation for this type of ECG. This study aims to compare the accuracy of two heart rate calculation algorithms: Filter-Based and Peak Threshold. Both algorithms were implemented into a wearable ECG prototype comprising AD8232, 8-bit microcontroller (ATMega328), and Bluetooth. ECG signals and heart rate (in Beat per Minute (BPM)) were sent via Bluetooth and displayed in real-time on a Windows-based application created using Visual C #. Experiments were conducted on 10 healthy subjects aged 20.4 ± 2.0 years and body weight of 60.8 ± 10.2 kg. The measurement results calculated by using Filter-Based and Peak Threshold were compared to a commercial wearable ECG (KineticTM) as a ‘ground truth’. The test results showed that the Filter-Based algorithm resulted in a more accurate calculation with the Root Mean Square Error (RMSE) of 1.53, compared to the Peak Threshold algorithm with RMSE of 2.69.

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Moran, Daniel, Yoram Epstein, Gad Keren, Arie Laor, Jack Sherez, and Yair Shapiro. "Calculation of Mean Arterial Pressure During Exercise as a Function of Heart Rate." Applied Human Science 14, no. 6 (1995): 293–95. http://dx.doi.org/10.2114/ahs.14.293.

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Liu, Nehemiah T., Andriy I. Batchinsky, José Salinas, and Leopoldo C. Cancio. "Robust real-time calculation of heart-rate complexity using multiple noisy waveform sources." Journal of Critical Care 28, no. 1 (2013): e15-e16. http://dx.doi.org/10.1016/j.jcrc.2012.10.046.

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Химикова, O. Khimikova, Эльман, et al. "Comparative characteristics of heart rate variability parameters of Yugra pupils." Complexity. Mind. Postnonclassic 4, no. 2 (2015): 11–20. http://dx.doi.org/10.12737/12006.

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This article presents a comparative analysis of the parameters of HRV students who are indigenous and non-indigenous residents of Yugra. Analysis was carried out carried out by multiple comparisons of three age subgroups and by multivariate analysis with the calculation of inter-cluster distances. The differences in the dynamics of age-related changes of Yugra schoolchildren reveals distinctive trend parameters of heart rate variability between indigenous and non-indigenous representatives of North. In particular, it revealed a higher adaptive capacity in Aboriginal representatives in comparison with the migrant population. The maximum divergence of parameters of the body boys observed in the older age group.

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Casaleggio, A., S. Cerutti, and M. G. Signorini. "Study of the Lyapunov Exponents in Heart Rate Variability Signals." Methods of Information in Medicine 36, no. 04/05 (1997): 274–77. http://dx.doi.org/10.1055/s-0038-1636877.

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Abstract:Heart rate variability signals obtained from 24 h recordings are analyzed for normal and pathological subjects. This time series contains information about the autonomic nervous system action regulating the beat-to-beat heart rate. Nonlinear contributions to the long period variability have been assessed by the calculation of the entire spectrum of Lyapunov exponents, after the system trajectory reconstruction, starting from the original variability signal. The positivity of Lyapunov exponent values, obtained from an unknown process, can establish whether the structure generating it shows nonlinear chaotic characteristics. This is what happens for the cardiovascular signals. Moreover, the different values obtained for the Lyapunov exponents operate a classification among the considered pathophysiological cases.

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Zhang, Yisong, Song Zhang, Lin Yang, et al. "A study of a fetal heart rate calculation system based on R-R interval." Technology and Health Care 28 (June 4, 2020): 187–95. http://dx.doi.org/10.3233/thc-209019.

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Yahya H., Mohammed, Ali Adil Turki, Ali H. F. Alnasraui, and Qasim shaker K. "Calculation of Heart Rate Variation Owing to the Effect of Electromagnetic Fields Waves (EMF)." Journal of Kufa Physics 10, no. 2 (2018): 48–53. http://dx.doi.org/10.31257/2018/jkp/100207.

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Huang, Mei-Jia, and Hui-Jin Wang. "Automated Detection of Fetal Movements Based on Baseline Calculation and Fetal Heart Rate Accelerations." Modern Applied Science 12, no. 9 (2018): 173. http://dx.doi.org/10.5539/mas.v12n9p173.

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Fetal electronic monitoring is extensive and important in obstetrics. Although fetal movement is ususally used as an important indicator for quantifying fetal wellbeing, non-invasive and long-term monitoring of fetal movement remains challenging. The object of this study is to develop an algorithm for automatic detection of the fetal movements based on the analysis of Doppler ultrasound signals. In order to detect fetal movements automatically, a two-step process was proposed to track fetal movement. In Step 1, to suppress the problem of error detection, we calculated the baseline of the fetal movement signals from actography to extract new signals. In step2, we recalculated the threshold value of fetal movement detection by utilizing the information of fetal heart rate (FHR) acceleration to produced adaptive threshold values. The results showed that the union of results detected by the proposed method from actography and tocography achieved an encouraging performance with highest sensitivity and acceptable positive predictive value (PPV).

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Nikulina, A., I. Tuyzarova, R. Shukanov, N. Altynova, and A. Shukanov. "ANALYSIS OF THE CARDIOVASCULAR SYSTEM IN SIMULATED CONDITIONS." Human Sport Medicine 19, no. 3 (2019): 7–13. http://dx.doi.org/10.14529/hsm190301.

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Aim. The article deals with establishing the correlations between the anthropometric, hemodynamic, and vegetative tone indicators in first and second-year students during their adaptation to university conditions. The morphophysiological status of students was corrected by Selenes+ and additional physical load. Materials and methods. Students aged 17–20 years (n = 60) participated in a longitudinal study. The following physiological methods were used: body length and mass measurement; BMI calculation; detection of selenium in blood serum; systolic and diastolic pressure measurement; heart rate calculation; average dynamic pressure calculation; pulse pressure calculation; stroke volume calculation using Starr’s equation; minute volume blood flow calculation; endurance coefficient calculation according to Kvass’ equation; functional changes index calculation; Kerdo vegetative index calculation. Results. It was established that application of selenium depending on physical load in first-year female students influenced significantly the following indicators: arterial pressure (F = 4.21), heart rate (F = 3.42), minute volume blood flow (F = 3.80), functional changes index (F = 10.65), systolic pressure (F = 4.72; P < 0.05); selenium concentration (F = 93.97; P < 0.001). At the end of the IV stage, statistically significant F-criteria for arterial pressure (F = 3.50), heart rate (F = 4.33), endurance coefficient (F = 4.78; Р < 0.05), systolic pressure (F = 5.92), pulse pressure (F = 5.50; P < 0.01), functional changes index (F = 10.65), selenium concentration (F = 41.11; P < 0.001) were registered. Conclusion. The correlations revealed between the anthropometric, hemodynamic, and vegetative tone indicators in first and second-year students allowed to make a conclusion about the efficiency of the Selenes+ supplement during adaptation to university conditions. The Selenes+ supplement combined with physical exercises contributes to less pronounced stress in the cardiovascular system and provides the physiological optimum of the body.

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Magrupova, M. T., and Yo T. Talatov. "Systematic Approach to Processing and Analysis Diagnostic Indicators of Electrocardiograms Based on Labview." Journal of the Russian Universities. Radioelectronics 23, no. 2 (2020): 82–88. http://dx.doi.org/10.32603/1993-8985-2020-23-2-82-88.

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Introduction. Cardiovascular disease occupies an important place throughout the world, which necessitates the development of more effective modern means of diagnosis and treatment. The primary diagnosis of heart disease is based on analysis and processing of an electrocardiogram (ECG). Despite the fact that there are many methods and algorithms for ECG analysis and processing, one of the urgent problems of cardiology remains to obtain the most complete information about heart electric potential, respectively, the behavior of the waves P, Q, R, S and T.Aim. Development of algorithms and software for processing and analysis of electrocardiograms (ECGs), as well as calculation of heart rate and detection of arrhythmias based on Labview.Materials and methods. The methods for removing noise using the wavelet transform method to eliminate baseline deviation ,to extract ECG signs ,to calculate heart rate and to detect arrhythmias based on Labview have been adopted as a mathematical apparatus for processing and analyzing ECGs.Results. Organizing of the ECG database, developing algorithms for converting the ECG file of the database into a useful format for Labview, processing of the ECG signal with removing noise from the original ECG signal, extracting signs for obtaining ECG diagnostic indicators, calculating heart rate and detecting arrhythmias.Conclusion. An analysis of the results demonstrates that systematic approaches to evaluating ECG signals allow to avoid one-way decisions and to integrate different methods into an integrated system of ideas of the state. The implementation of the proposed algorithms using Labview programming system ensures the removal of noise and artifacts, the extraction of the necessary ECG signs, the calculation of heart contractions and the detection of arrhythmias.

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Gleich, Bernhard, Thomas Weyh, and Bernhard Wolf. "Magnetic Drug Targeting: An Analytical Model for the Influence of Blood Properties on Particle Trajectories." Applied Rheology 18, no. 5 (2008): 52023–1. http://dx.doi.org/10.1515/arh-2008-0016.

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Abstract Investigations on the behaviour of superparamagnetic nanoparticles under the influence of a high gradient magnetic field in the vascular system is required for a better under-standing of magnetic drug targeting. The influence on the particle transport of the non-Newtonian and Newtonian properties of blood as well as the influence of the heart rate was therefore studied. A analytical model was developed and the calculation of particle trajectories is presented and evaluated. The results show that the non-Newtonian properties of the blood have a positive influence on the number of retended nanoparticles. The calculations also showed that the number of retained nanoparticles was lower in oscillatory flow profile than in steady flow. The influence of the heart rate can be neglected for Womersley numbers smaller than 1.5.

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MUS, K. "10.6 Comparison of fft and DFT algorithms in calculation of heart rate variability spectral parameters." Europace 4 (October 2003): A17. http://dx.doi.org/10.1016/s1099-5129(02)90077-2.

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Mus, K., A. Zienciuk, A. Lubinski, et al. "10.6 Comparison of fft and DFT algorithms in calculation of heart rate variability spectral parameters." EP Europace 4, Supplement_1 (2003): A17. http://dx.doi.org/10.1016/eupace/4.supplement_1.a17-c.

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Putri, Elsya Vira. "The Correlation between Physical Workload and the Increase in Workers’ Pulse Rate." Indonesian Journal of Occupational Safety and Health 8, no. 2 (2019): 206. http://dx.doi.org/10.20473/ijosh.v8i2.2019.206-214.

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Introduction: The workload that exceeds individual work capacity will increase the pulse rate rapidly. The purpose of this research was to study the correlation between physical workload and the increase in workers’ pulse rate. Methods: This research utilized cross-sectional design by using the observational method with 23 workers from the BRF area of PT X Sidoarjo as respondents. This research was conducted by conducting the direct observation by calculating the workload received by the worker by using %CVL method and calculating the resting and working heart rates. Results: The result showed that all workers were male and had the productive age distribution of 60.9% in the age range of 25-50 years. Based on the calculation of workload, the majority of workers have the workload on the moderate %CVL category, amounting to 56.5%. Based on the measurement of the resting and working heart rates, it was found that all workers experienced the pulse rate increase. Based on the result of Pearson correlation statistical test, the result was p<0.05, which means that there was a significant correlation between the workload and the increase in the workers’ pulse rate. Moreover, the correlation coefficient was 0.911, that indicated a very strong and positive correlation. Conclusion: This research concludes that there is a strong and positive correlation between workload and the increase in the workers’ pulse rate. Keywords: %CVL, cardiovascular load, workload, pulse rate

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Lee, Dae-Young, and Young-Seok Choi. "Multiscale Distribution Entropy Analysis of Short-Term Heart Rate Variability." Entropy 20, no. 12 (2018): 952. http://dx.doi.org/10.3390/e20120952.

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Electrocardiogram (ECG) signal has been commonly used to analyze the complexity of heart rate variability (HRV). For this, various entropy methods have been considerably of interest. The multiscale entropy (MSE) method, which makes use of the sample entropy (SampEn) calculation of coarse-grained time series, has attracted attention for analysis of HRV. However, the SampEn computation may fail to be defined when the length of a time series is not enough long. Recently, distribution entropy (DistEn) with improved stability for a short-term time series has been proposed. Here, we propose a novel multiscale DistEn (MDE) for analysis of the complexity of short-term HRV by utilizing a moving-averaging multiscale process and the DistEn computation of each moving-averaged time series. Thus, it provides an improved stability of entropy evaluation for short-term HRV extracted from ECG. To verify the performance of MDE, we employ the analysis of synthetic signals and confirm the superiority of MDE over MSE. Then, we evaluate the complexity of short-term HRV extracted from ECG signals of congestive heart failure (CHF) patients and healthy subjects. The experimental results exhibit that MDE is capable of quantifying the decreased complexity of HRV with aging and CHF disease with short-term HRV time series.

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Wierig, Maren, Leonard Mandtler, Peter Rottmann, et al. "Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions." Sensors 18, no. 8 (2018): 2541. http://dx.doi.org/10.3390/s18082541.

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In the last decades, there has been an increasing interest in animal protection and welfare issues. Heart rate variability (HRV) measurement with portable heart rate monitors on cows has established itself as a suitable method for assessing physiological states. However, more forward-looking technologies, already successfully applied to evaluate HRV data, are pushing the market. This study examines the validity and usability of collecting HRV data by exchanging the Polar watch V800 as a receiving unit of the data compared to a custom smartphone application on cows. Therefore, both receivers tap one signal sent by the Polar H7 transmitter simultaneously. Furthermore, there is a lack of suitable methods for the preparation and calculation of HRV parameters, especially for livestock. A method is presented for calculating more robust time domain HRV parameters via median formation. The comparisons of the respective simultaneous recordings were conducted after artifact correction for time domain HRV parameters. High correlations (r = 0.82–0.98) for cows as well as for control data set in human being (r = 0.98–0.99) were found. The utilization of smart devices and the robust method to determine time domain HRV parameters may be suitable to generate valid HRV data on cows in field-based settings.

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Cao, Ping, Bailu Ye, Linghui Yang, et al. "Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls." Computational and Mathematical Methods in Medicine 2020 (March 31, 2020): 1–10. http://dx.doi.org/10.1155/2020/9763826.

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Objective. The deceleration capacity (DC) and acceleration capacity (AC) of heart rate, which are recently proposed variants to the heart rate variability, are calculated from unevenly sampled RR interval signals using phase-rectified signal averaging. Although uneven sampling of these signals compromises heart rate variability analyses, its effect on DC and AC analyses remains to be addressed. Approach. We assess preprocessing (i.e., interpolation and resampling) of RR interval signals on the diagnostic effect of DC and AC from simulation and clinical data. The simulation analysis synthesizes unevenly sampled RR interval signals with known frequency components to evaluate the preprocessing performance for frequency extraction. The clinical analysis compares the conventional DC and AC calculation with the calculation using preprocessed RR interval signals on 24-hour data acquired from normal subjects and chronic heart failure patients. Main Results. The assessment of frequency components in the RR intervals using wavelet analysis becomes more robust with preprocessing. Moreover, preprocessing improves the diagnostic ability based on DC and AC for chronic heart failure patients, with area under the receiver operating characteristic curve increasing from 0.920 to 0.942 for DC and from 0.818 to 0.923 for AC. Significance. Both the simulation and clinical analyses demonstrate that interpolation and resampling of unevenly sampled RR interval signals improve the performance of DC and AC, enabling the discrimination of CHF patients from healthy controls.

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Butler, G. C., Y. Yamamoto, H. C. Xing, D. R. Northey, and R. L. Hughson. "Heart rate variability and fractal dimension during orthostatic challenges." Journal of Applied Physiology 75, no. 6 (1993): 2602–12. http://dx.doi.org/10.1152/jappl.1993.75.6.2602.

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Heart rate variability (HRV) spectral analysis has been used as a tool for short-term assessment of parasympathetic (PNS) and sympathetic nervous system (SNS) control of heart rate. However, it has been suggested that the PNS and SNS indicators are superimposed on a broad-band noise spectrum in which the power spectral densities are inversely proportional to their frequency (1/f beta). In this study, we have used coarse-graining spectral analysis to extract the harmonic components for calculation of PNS and SNS indicators and to obtain the slope (beta) of the 1/f beta component to estimate fractal dimension (DF) of a trail of HRV. DF was regarded as an indicator of cardiovascular system complexity. Ten healthy young subjects (6 women and 4 men) were studied in supine rest and with sequential applications of four levels of lower body negative pressure (LBNP; -10, -20, -30, and -50 mmHg) and head-up tilt (HUT; 10, 20, 30, and 70 degrees). In the 20 tests, there were six occurrences of presyncopal symptoms that required the test to be terminated before the planned end point. At low levels of LBNP or HUT, arterial pulse pressure (PP) was not changed from rest, and calculated DF was very high (beta approximately 1.00). At the higher levels of LBNP and HUT, PP decreased. Coincident with this reduction in PP, PNS activity decreased, SNS activity increased, and DF was reduced, each with a significant linear relationship to the change in PP (PNS: r = 0.56; SNS: r = 0.57; DF: r = 0.70, P < 0.01). Each occurrence of presyncope was associated a low PNS indicator as well as DF < 2.50 (beta > or = 1.80). These data indicate that the cardiovascular system is operating at a reduced level of complexity and further suggest that reduced complexity might not be compatible with cardiovascular homeostasis.

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Устименко, A. Ustimenko, Третьяков, et al. "Thermodynamic and chaotic approaches for assessing the age dynamics of cardiovascular system in khanty-woman." Journal of New Medical Technologies. eJournal 8, no. 1 (2014): 0. http://dx.doi.org/10.12737/7355.

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Cardiorespiratory system is the most important part of the body, which provides high life expectancy. Special parameters of heart rate dynamics require the development of new approaches for analysis and prediction. The paper presents a comparison of the effective traditional statistical methods, the conventional (in physics) thermodynamic methods, with methods of chaos theory and self-organization to estimate the parameters of heart rate three age groups of Khanty-women in the aspect of identification of their age characteristics. It is proved that there are few statistical differences between the groups (one-type uncertainty), entropic parameters are also less informative. On the contrary, the quasi-attractor’s parameters in three age groups of women are purposefully changed (decrease) and can be described by the Verhulst-Pearl model, with the calculation of the rate of changes over time. A new method for estimating the age-related changes of cardiac parameters based in the calculation of rate of change of the quasi-attractor’s volume is proposed.

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Sufri, Saiful, and Aswardi Aswardi. "Alat Pendeteksi Detak Jantung dan Kesehatan Berbasis Arduino." JTEIN: Jurnal Teknik Elektro Indonesia 1, no. 2 (2020): 69–75. http://dx.doi.org/10.24036/jtein.v1i2.31.

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The heart is a human organ that pumps blood. The heart contracts, where one contraction cycle is usually called a heartbeat. Calculation of heart rate is often done manually by counting the pulse on the wrist for one minute. This method is considered inaccurate because it only relies on the human sense of touch. By making it easier to calculate the heart rate with the Electrocardiograph (ECG) device only but this tool is used in hospitals and cannot be moved. With a sensor that makes daily activities easier. For example, a pulse sensor that is easily available is a pulse sensor that can be used to detect the human heartbeat. With the heart rate device that can be moved using a pulse sensor. Where in the tool that in this final project detects the heart rate will be displayed on the Liquid Crisytal Display (LCD) where the detection results displayed are the results of the detection of human heartbeats accompanied by diseases that may be experienced from heart rate abnormalities.

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Guo, Chenghu, Mingjun Xu, Yu Zhang, et al. "RESTING HEART RATE DISTURBED THE CALCULATION OF CORONARY FLOW RESERVE IN PATIENTS WITH CORONARY MICROVASCULAR DISEASE." Journal of the American College of Cardiology 75, no. 11 (2020): 1782. http://dx.doi.org/10.1016/s0735-1097(20)32409-8.

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Atsumi, Bunji, Seiichi Sugiura, and Kenji Kimura. "Evaluation of Mental Work Load in Vehicle Driving by Analysis of Heart Rate Variability." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 9 (1993): 574–78. http://dx.doi.org/10.1177/154193129303700912.

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This paper discusses the mental work load index in vehicle driving and operation of various instruments by the use of the analysis method of heart rate variability. According to what has been reported previously, the heart rate (HR) and the respiratory sinus arrhythmia (RSA) is obtained by the FFT analysis of the R-R Interval. However, the calculation to obtain RSA by the FFT method has a drawback in that it is so complicated that it is impossible to detect dynamic mental variation. Therefore, we have devised a new method of calcurating RSA, which calculates the R-R variability (RRV) at each 3 beats. The method is referred to the RRV3 method. We succeeded to verify that this method enables simplified collection of RSA and real time measurement of mental work load in vehicle driving including dynamic variations.

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Нерсисян, N. Nersisyan, Шакирова, et al. "Dynamics of spectral power of heart rate variability in students the latitudinal movement." Journal of New Medical Technologies. eJournal 10, no. 1 (2016): 0. http://dx.doi.org/10.12737/18602.

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In the conditions of sanatorium treatment the parameters of the cardiovascular system of schoolchildren with the latitudinal displacements were analyzed. Analysis of parameters of cardiovascular system of children in sanatoria from the position of the stochastics showed that the behavior of RR-intervals is still chaotic. The results of the study revealed that short-term treatment reduces the size of quasi-attractor vector of conditions of the human body and partially normalizes the indicators of the cardio-respiratory system of children. However, after the rest of the distance rX increasing, says lack of formation of mechanisms of adaptation of students, as well as significant tension of regulatory processes. The use of the method of calculation of matrices mega-factory of distances in m-dimensional phase space provides some quantitative evaluation of adaptive reserves of the body. This allows us to objectively assess the dynamics of reserve possibilities of organism and their prognostic significance.

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Suzuki, Satoshi, Takemi Matsui, Keitaro Sugawara, Takafumi Asao, and Kentaro Kotani. "An Approach to Remote Monitoring of Heart Rate Variability (HRV) Using Microwave Radar during a Calculation Task." Journal of PHYSIOLOGICAL ANTHROPOLOGY 30, no. 6 (2011): 241–49. http://dx.doi.org/10.2114/jpa2.30.241.

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Yoshida, Yutaka, Kiyoko Yokoyama, and Naohiro Ishii. "Analysis of heart rate variability during breath-holding using fast and continuous calculation of frequency and power." Electronics and Communications in Japan 94, no. 6 (2011): 24–31. http://dx.doi.org/10.1002/ecj.10324.

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Pogliaghi, Silvia, Elisa Dussin, Cantor Tarperi, Antonio Cevese, and Federico Schena. "Calculation of oxygen uptake efficiency slope based on heart rate reserve end-points in healthy elderly subjects." European Journal of Applied Physiology 101, no. 6 (2007): 691–96. http://dx.doi.org/10.1007/s00421-007-0545-1.

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Liu, Nehemiah T., Leopoldo C. Cancio, Jose Salinas, and Andriy I. Batchinsky. "Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sources." Journal of Clinical Monitoring and Computing 28, no. 2 (2013): 123–31. http://dx.doi.org/10.1007/s10877-013-9503-0.

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Utomo, T. P., and N. Nuryani. "Photoplethysmogram peaks detection based on moving window integration and threshold for heart rate calculation on android smartphone." Journal of Physics: Conference Series 1825, no. 1 (2021): 012032. http://dx.doi.org/10.1088/1742-6596/1825/1/012032.

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Mikhalyuk, Evgen, Vitaliy Syvolap, Maryna Potapenko, Nikolay Bessarabov, and Sergey Polskoy. "FEATURES OF ELECTROCARDIOGRAPHIC INDICATORS AND DATA OF HEART RATE VARIABILITY IN YOUNG FOOTBALLERS." Science and Education 2020, no. 3 (2020): 57–64. http://dx.doi.org/10.24195/2414-4665-2020-3-8.

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The great importance has recently been attached to studying the functional capabilities of athletes taking into account the data of bioelectric activity of the myocardium, as well as vegetative status based on the analysis of heart rate variability. However, works in which questions regarding the age-related features of the ECG and the autonomic provision of the heart rate for young football players are not enough. In order to clarify the effect of age on ECG and heart rate variability (HRV), a comparative analysis of 5-minute records and standard ECG in 12 leads was conducted for young players aged 13-15 years (n = 39) and 16-17 years (n = 23). The mathematical and spectral methods for analyzing HRV with the calculation of the stress index R. M. Baevsky were used to assess the state of the mechanisms of neurohumoral regulation of the heart, the activity of segmental and suprasegmental parts of the autonomic nervous system (ANS). The comparative study of five‐minute ECG recordings of standard 12-lead electrocardiograms of young football players aged 13-15 (n = 39) and 16-17 years (n = 23) was carried out to clarify the effect of age on the electrocardiogram and heart rate variability. The frequency of registration of incomplete LBBB decreases by 2.2 times with an increase in the age of football players and there is a tendency to increase the tone of the parasympathetic link of the ANS.

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Dai, Changzhi, and Zhiwei Lian. "The effects of sound loudness on subjective feeling, sympathovagal balance and brain activity." Indoor and Built Environment 27, no. 9 (2017): 1287–300. http://dx.doi.org/10.1177/1420326x17719490.

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This study explored the effects of sound loudness on human nervous system from four aspects: regional spontaneous brain activity, cognition performance, sympathovagal balance of the autonomic nervous system and subjective feelings. Functional magnetic resonance imaging and electrocardiogram were measured in 12 volunteered students under three noise conditions. Mental performance, fatigue, noise sensation, annoyance and subjective distraction were also investigated. Earplugs were found invalid to improve annoyance and distraction in a common office condition (45 dB(A)), although noisy feeling was alleviated. Possible under-stimulated effects were observed with enhanced stress according to functional magnetic resonance and heart rate variability results. Annoyance, distraction, heart rate and heart rate variability increased significantly in a louder noise condition (65 dB(A)). Correlation analysis shows that heart rate is significantly correlated with either noise sensation, annoyance or distraction while heart rate variability presents significant correlations only with annoyance. Mental performance of calculation and reaction is moderately correlated with annoyance, while no significant differences of performance were observed between the three noise conditions. Constant office work with noise exposure will cause changes in the limbic gyrus and adherent regions. Parahippocampal gyrus is the only region with significantly different brain activity in three noise conditions.

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He, Jiao Long, Shu Guang Chen, and Xin Sheng Zhang. "Research on Technology of Highway Curve and Slope Road Segment Alignment Safety Design." Applied Mechanics and Materials 204-208 (October 2012): 1665–68. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.1665.

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In the paper, Combination curved with slope road segment on the driving experiment , The paper is analyzed the curve and slope road segment on Gradient, Horizontal Curve Radius, Speed and heart rate these variables of the inherent relation and law. The model of the relationship of the longitudinal slope and horizontal curve radius and heart rate is set up. By employing regression analysis, Conduct quantitative analysis, calculation and can be determined by the minimum horizontal curve radius value of vertical slope corresponding to at different vehicle-speeds on curved with longitudinal slope,Theoretical reference is provided for designers in the design technology research.

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Kulagina, T. Yu, V. A. Sandrikov, R. Z. Zyabirova, J. N. Petrova, V. S. Klimenko, and N. V. Vlasova. "The rate of myocardial contraction in the assessment of diastolic function." Medical alphabet, no. 15 (July 6, 2021): 28–32. http://dx.doi.org/10.33667/2078-5631-2021-15-28-32.

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Objective: to evaluate the results of biomechanics of myocardial contraction during diastole in patients with coronary heart disease based on the results of vector analysisMATERIAL: the study is based on 79 patients with coronary heart disease with myocardial infarction and scarring of the heart muscle aged 53±4 years and 34 healthy volunteers — 41±3 years were examined. Before and after the operation of coronary artery bypass grafting, transthoracic echocardiography was performed, followed by computer image processing and calculation of hemodynamic parameters — EDV, ESV, EF, E\A. Vector analysis was used to estimate the rate of myocardial displacement (V), from the apex to the basal region in six regions of the left ventricle.RESULTS. To determine the mechanical characteristics of left ventricular (LV) contraction, a method was used that allows dynamic series of ultrasound images to track the rate of myocardial contraction in the basal, middle and apical parts of the heart. Before surgery, during diastole, the rate of myocardial contraction increased by more than 30% in comparison with the norm in the basal, middle, and apical regions. Changes occur due to a decrease in myocardial perfusion. In response, hyperfunction occurs, which leads to the activity of additional cardiomyocytes in maintaining heart performance. After the operation, the recovery of myocardial contraction rates to normal values was noted.CONCLUSION. The results showed the dynamics of the rates of myocardial displacement mainly in the diastole, but there is no complete recovery in the hospital period. Diagnosis of the mechanical function of the myocardium during the cardiac cycle is based on the dynamics of the rates of contraction from the apex to the basal part of the left ventricle. Evaluation of the activity of myocardial contraction has certain advantages in determining the state of diastolic function of the left ventricle.

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