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Journal articles on the topic 'Heart rate calculation'

Author: Grafiati

Published: 23 June 2021

Last updated: 29 July 2025

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1

Gasmi, Amin. "Calculation Methods in Heart Rate Variability." Interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity 12, no. 4 (2023): 849–61. http://dx.doi.org/10.5890/dnc.2023.12.010.

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2

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 meth

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3

Osipov, A. N., O. Ch Rolich, A. P. Kluev, V. D. Vladymtsev, S. A. Migalevich, and I. O. Khazanovsky. "Heart Rate Measurement Algorithm in the Monitoring System of Human Body Condition." Digital Transformation 29, no. 4 (2023): 66–72. http://dx.doi.org/10.35596/1729-7648-2023-29-4-66-72.

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The questions of measuring heart rate in systems for monitoring the functional state of a person operating in real time are considered. Recorders of systems of this class are sensitive to interference and noise caused by motor artifacts, electromagnetic interference from external sources, temporary degradation of sensors, etc. The ratio for the calculation of the heart rate is given and the calculation algorithm is described, which consists in registering an electrocardiogram, calculating the electrocardiogram spectrogram and forming the first numerical array from it, calculating the second Fo

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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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5

Alkhoury, Ludvik, JiWon Choi, Vishnu D. Chandran, Gabriela B. De Carvalho, Saikat Pal, and Moshe Kam. "Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation." Sensors 22, no. 24 (2022): 9955. http://dx.doi.org/10.3390/s22249955.

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The quality of heart rate (HR) measurements extracted from human photoplethysmography (PPG) signals are known to deteriorate under appreciable human motion. Auxiliary signals, such as accelerometer readings, are usually employed to detect and suppress motion artifacts. A 2019 study by Yifan Zhang and his coinvestigatorsused the noise components extracted from an infrared PPG signal to denoise a green PPG signal from which HR was extracted. Until now, this approach was only tested on “micro-motion” such as finger tapping. In this study, we extend this technique to allow accurate calculation of

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SR, Mittal. "Female Older t han Fifty Years Need a Different Regression Equation for Calculation of Age Predicted Maximal Heart Rate for Evaluation of Exercise Stress Test Using Bruce Protocol." Open Access Journal of Cardiology 7, no. 1 (2023): 1–8. http://dx.doi.org/10.23880/oajc-16000177.

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There is lack of consensus regarding regression equation to be used for calculation of age predicted maximal heart rate for evaluation of exercise stress test. We evaluated stage wise increase in heart rate during treadmill stress testing using Bruce protocol in seventy normal individual after excluding various confounding factors. We analyzed the data in two genders of different age groups and calculated the statistical significance of difference between different groups. Formula of 220-age was used for calculation of age predicted maximal heart rate. Females older than fifty years could not

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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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8

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

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9

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 ex

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10

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 screeni

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11

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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12

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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13

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 g

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14

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 Windo

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15

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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16

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

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17

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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18

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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19

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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20

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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21

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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22

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 complicat

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23

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 f

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24

Riedlova, Petra, Spiros Tavandzis, Josef Kana, et al. "Changes in the Heart Rate of Sniffer Dogs Trained for Detection of Lung Cancer." Diagnostics 13, no. 15 (2023): 2567. http://dx.doi.org/10.3390/diagnostics13152567.

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Background: Lung carcinoma is one of the most common malignancies worldwide. At present, unfortunately, there are no markers that would allow early identification of this tumor in the preclinical or early clinical stage. The use of sniffer dogs has been reported to show some promise in early diagnosis of this type of cancer Aim: This study aimed to evaluate the possibility of utilizing changes in the heart rate of sniffer dogs (which increases when finding a positive sample) in tumor detection. Methods: This double-blinded pilot study included two sniffer dogs. A chest strap was fastened on th

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25

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 softwar

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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

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27

J, Lokeshwari, Dr Sreerambabu J, and Mohammed Riyaz M. "Non-Contact Heart Rate Monitoring Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 857–59. http://dx.doi.org/10.22214/ijraset.2022.46294.

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Abstract: Recording and observing crucial signs is a fundamental part of locally established medical care. Utilizing contact sensors to record physiological signs can make uneasiness patients, particularly after delayed use. At the point when a subject is moving, the face might be gotten some distance from the camera. We use numerous cameras to empower the calculation to screen the crucial sign persistently, regardless of whether the subject leaves the edge or gets some distance from a subset of the framework's cameras. Besides, we work on the exactness of existing strategies by executing a li

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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 reten

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29

Iqbal, Talha, Adnan Elahi, William Wijns, Bilal Amin, and Atif Shahzad. "Improved Stress Classification Using Automatic Feature Selection from Heart Rate and Respiratory Rate Time Signals." Applied Sciences 13, no. 5 (2023): 2950. http://dx.doi.org/10.3390/app13052950.

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Time-series features are the characteristics of data periodically collected over time. The calculation of time-series features helps in understanding the underlying patterns and structure of the data, as well as in visualizing the data. The manual calculation and selection of time-series feature from a large temporal dataset are time-consuming. It requires researchers to consider several signal-processing algorithms and time-series analysis methods to identify and extract meaningful features from the given time-series data. These features are the core of a machine learning-based predictive mod

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30

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 comparis

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31

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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32

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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33

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 s

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34

Kiseleva, O. G., and Ye A. Nastenko. "Development of a computer system for daily analysis nonlinear dynamic properties of heart rate." Electronics and Communications 15, no. 4 (2010): 125–28. https://doi.org/10.20535/2312-1807.2010.15.4.301613.

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The main goal of this article is development of a system for the hart rate variability analysis on the base of non-linear dynamic methods. To achieve this goal the key algorithm for qualitative and quantified estimation of 24-hours heart rate regularity was developed. A software was developed where the Kolmogorov algorithm, Poincare equation, approximate entropy, flicker noise, distribution bar chart, Lorenz diagram were used. The results of calculation can be used for defining of diagnostic signs of human health state on the base of daily heart rate regularity estimation.

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35

Saputra, Yogi Dwi, and Hari Kurnia Safitri. "Alarm warning dan rem otomatis berbasis detak jantung pada olahraga bersepeda." JURNAL ELTEK 19, no. 2 (2021): 105. http://dx.doi.org/10.33795/eltek.v19i2.296.

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Jantung merupakan organ vital pada tubuh manusia. Oleh karena itu, penting dalam memelihara kesehatan jantung. Salah satunya melalui pelatihan berbasis detak jantung, yaitu menjaga detak jantung dalam kisaran yang ditetapkan. Salah satu pengaplikasiannya adalah olahraga bersepeda, namun tidak jarang pesepeda melebihi target maksimal saat bersepeda, sehingga hal tersebut menyalahi aturan dalam pelatihan. Prinsip kerja alat ini adalah mengaktifkan alarm warning jika detak jantung pengguna melebihi target maksimal saat latihan dan mengaktifkan rem otomatis ketika pengguna menghiraukan alarm warni

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Yoshikawa, Hiroaki, Yumi Adachi, Ayako Baba, et al. "Heart rate variability versus visual analog scale for objective and subjective mental fatigue detection: A randomized controlled trial." PLOS Mental Health 2, no. 1 (2025): e0000240. https://doi.org/10.1371/journal.pmen.0000240.

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Fatigue is a multidimensional phenomenon. Although psychological tests can be used to evaluate subjective fatigue, an objective measurement of fatigue is needed to evaluate mental, physical, and occupational health and inform appropriate interventions. Heart rate variability (HRV) has emerged as a potential candidate for assessing objective mental fatigue; however, its effectiveness and safety remain inconclusive. To address these, we conducted a single-center, randomized trial to compare the efficacy and safety of HRV with subjective psychological tests for evaluating mental fatigue. Particip

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Peters, Rogério de Siqueira, Maria do Socorro Luna Cruz, Claudio Hernández-Mosqueira, Cristian Martinez-Salazar, and Fernando Policarpo Barbosa. "The Influence of Body Position on Determining Aerobic Exercise Intensity for Healthy Individuals." International Journal of Environmental Research and Public Health 18, no. 22 (2021): 11773. http://dx.doi.org/10.3390/ijerph182211773.

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To verify the influence of the resting heart rate (RHR) measurement on different positions in the calculation of VO2max intensities in young individuals of both sexes. Methods: A cross-sectional study with a correlational design with a sample of 22 men and 11 women, aged 27.8 ± 6.5 years and 29.0 ± 8.6 years, respectively, healthy, active and sedentary, who performed the stress test on a treadmill until fatigue. For the treatment of the data, a repeated measures ANOVA was carried out with Bonferroni’s post hoc test. Results: The comparison of the mean values of baseline heart rate (Bhr) betwee

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Putra, I. Gede Bagus Gita Pranata, Ida Bagus Budha Dharma Kusuma, Ni Wayan Armerinayanti, Ketut Erna Bagiari, and Eka Sriayu Wulandari. "Association between T2DM with high resting heart rate and abnormal heart rate recovery within one minute after treadmill exercise test in CHD patients." Intisari Sains Medis 14, no. 2 (2023): 937–40. http://dx.doi.org/10.15562/ism.v14i2.1712.

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Background: Diabetes mellitus and coronary heart disease are chronic diseases that are very closely related. It has long been known that diabetes mellitus is a significant risk factor for coronary heart disease. The incidence of diabetes mellitus is increasing, according to data taken from the PERKENI consensus, WHO predicts an increase in the number of people with DM in Indonesia from 8.4 million in 2000 to around 21.3 million in 2030. The purpose of this study was to determine whether diabetes mellitus is related to cardiovascular autonomic neuropathy. Methods: This research method is helpfu

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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 use

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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

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41

Ding, Wangyi, and Hao Chen. "rPPG Signal Measurement Based on Time-do-main Attention Network." Journal of Physics: Conference Series 2405, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1742-6596/2405/1/012027.

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Abstract The measurement of heart rate without touching the object being measured is referred to as “non-contact heart rate estimation.” Telemedicine, education, and a variety of other fields can all benefit from this approach, which is capable of achieving continuous heart rate measurement under certain conditions. The video segmentation network and the backbone network are cascaded in this paper’s cascaded heart rate estimation model. Adding temporal attention based on the existing 3D convolutional network model, the video segmentation network divides the video into multiple segments and fus

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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

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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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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

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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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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

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Bi, Shubo, Haipeng Wang, and Shuaishuai Zhang. "Light and Displacement Compensation-Based iPPG for Heart-Rate Measurement in Complex Detection Conditions." Sensors 24, no. 11 (2024): 3346. http://dx.doi.org/10.3390/s24113346.

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A light and displacement-compensation-based iPPG algorithm is proposed in this paper for heart-rate measurement in complex detection conditions. Two compensation sub-algorithms, including light compensation and displacement compensation, are designed and integrated into the iPPG algorithm for more accurate heart-rate measurement. In the light-compensation sub-algorithm, the measurement deviation caused by the ambient light change is compensated by the mean filter-based light adjustment strategy. In the displacement-compensation sub-algorithm, the measurement deviation caused by the subject mot

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Shmalts, A. A., T. V. Martynyuk, and S. N. Nakonechnikov. "Calculation of hemodynamics by the Fick method in pulmonary hypertension associated with congenital heart defects." Eurasian heart journal, no. 2 (May 28, 2022): 96–102. http://dx.doi.org/10.38109/2225-1685-2022-2-96-102.

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In December, 2021 at the IXth All-Russian Congress «Pulmonary Hypertension – 2021» the first Eurasian guidelines for the diagnosis and treatment of pulmonary hypertension associated with congenital heart disease (CHD) in adults were approved. In this review, the expert group presents the basic principles of calculating hemodynamics according to Fick for the systemic and pulmonary circulation. The method is indispensable for congenital heart defects. Theoretical and practical aspects of calculating hemodynamics with arteriovenous, venoarterial and bidirectional shunting are considered. The calc

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Perdana, Hendra, Neva Satyahadewi, Dadan Kusnandar, and Ray Tamtama. "MULTI-STATE MODEL FOR CALCULATION OF LONG-TERM CARE INSURANCE PRODUCT PREMIUM IN INDONESIA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 16, no. 4 (2022): 1293–302. http://dx.doi.org/10.30598/barekengvol16iss4pp1293-1302.

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Long Term Care (LTC) insurance is a type of health insurance. One of the LTC products is Annuity as A Rider Benefit. This insurance provides benefits for medical care costs during the term and death benefits if the insured dies. This insurance product can be modeled with a multi-state model. The multi-state model is a stochastic process in which the subject can switch states at a specified number of states. This paper discusses the calculation of LTC insurance premiums with the Annuity as A Rider Benefit product using a multi-state model for critically ill patients in Indonesia. The state used

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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 ta

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