scholarly journals Accuracy of Determining the Duration of Cardiointervals when Using the Hardware-Software Complex "Rhythm" in Conditions of Physical Activity

2020 ◽  
Vol 5 (6) ◽  
pp. 342-348
Author(s):  
L. S. Vovkanych ◽  
◽  
V. M. Sokolovskii ◽  
Y. R. Boretskii ◽  
D. I. Berhtraum ◽  
...  
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Wilcoxon Test ◽  
Step Test ◽  
Human Organism ◽  
Rr Intervals ◽  
Hardware Complex ◽  
Significant Difference ◽  
Good Agreement

The important task for modern physiology is remote monitoring of the functions of physiological systems of the human organism during the competitive and training activity. It is well known that analysis of heart rate variability is one of the effective methods to evaluate the physiological changes which occur in the response to physical loads. In order to perform the correct analysis of heart rate variability by newly designed devices, it is necessary to confirm the sufficient level of accuracy in the registration of RR intervals. The purpose of our research was to analyze the accuracy of RR time series measurements by software-hardware complex “Rytm” and validity of subsequently calculated heart rate variability indexes in conditions of exercise performance. Material and methods. The study involved 20 healthy male adults 20-21 years old. Recording of cardio intervals was performed simultaneously with «Polar RS800», and software-hardware complex “Rytm”. The subjects performed a step test in a rate of 20 steps per minute, platform height – 40 cm, duration – 2 minutes. Results and discussion. Heart rate variability indexes were calculated by Kubios HRV 2.1 software. The totally 4707 pairs of RR intervals were analyzed. The average bias between the RR interval, registered by software-hardware complex «Rytm» and «Polar RS800», was only 0.06 s. We revealed the narrow Bland–Altman limits of agreement (3.72 − -3.83 ms) and the highest value of the intraclass correlation coefficient (1.000) between the data of these two devices. The Bland–Altman plot confirmed good agreement between the devices in the measurements of RR intervals. At the same time, the significant difference (p = 0.002) of the two data sets was found according to paired Wilcoxon test. As the final goal of the registration of RR time series is calculation of individual heart rate variability indexes, we intended to test the presence of substantial differences in the heart rate variability indexes, derived from the data from two devices − «Polar RS800» and software-hardware complex «Rytm». We compared the results of time-domain (HR, STD RR, RMSSD, pNN50), frequency-domain (VLF, LF, HF, LF / HF) and nonlinear (RR tri index, SD1, SD2) analysis of heart rate variability. It was found that only for the LF/HF ratio a statistically significant difference was present. Conclusion. The results suggest the good agreement between most of the heart rate variability indexes based on data of software-hardware complex «Rytm» and well approved heart rate monitoring systems («Polar RS800»)

scholarly journals Validation of the Software-Hardware Complex “Rytm” for Measurement of the RR Intervals and Heart Rate Variability Analysis During Exercise and Recovery Period

2021 ◽  
Vol 21 (1) ◽  
pp. 61-68
Author(s):  
Lyubomyr Vovkanych ◽  
Yuriy Boretsky ◽  
Viktor Sokolovsky ◽  
Dzvenyslava Berhtraum ◽  
Stanislav Kras
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Recovery Period ◽  
Intraclass Correlation ◽  
Step Test ◽  
Heart Rate Variability Analysis ◽  
Test Protocol ◽  
Rr Intervals ◽  
Significant Difference ◽  
Very High

The study purpose was estimation of the accuracy of RR time series measurements by SHC “Rytm” and validity of derived heart rate variability (HRV) indexes under physical loads and recovery period. Materials and methods. The participants were 20 healthy male adults aged 19.7 ± 0.23 years. Data was recorded simultaneously with CardioLab CE12, Polar RS800, and SHC “Rytm”. Test protocol included a 2 minute step test (20 steps per minute, platform height – 40 cm) with the next 3 minute recovery period. HRV indexes were calculated by Kubios HRV 2.1. Results. The RR data bias in the case of physical loads was -0.06 ms, it increased to 0.09-0.33 ms during the recovery period. The limits of agreement for RR data ranged from 3.7 ms to 22.8 ms, depending on the period of measurements and pair of compared devices. It is acceptable for the heart rate and HRV estimation. The intraclass correlation coefficients (0.62–1.00) and Spearman correlation coefficient (0.99) were high enough to suggest very high repeatability of the data. We found no significant difference (p > 0.05) and good correlation (r = 0.94-1.00) between the majority of HRV indexes, calculated from data of Polar RS800 and SHC “Rytm” in conditions of physical loads (except for LF/HF ratio) and in the recovery period. The only one index (RMSSD) was different (p < 0.05) in case of Polar RS800 and SHC “Rytm” data, obtained in the recovery period. The largest numbers of different HRV indexes have been found during the comparison of CardioLab CE12 and Polar RS800 – RMSSD, pNN50, and SD1. Correlation between HRV indexes (r = 0.81-1.00) was very high in all pairs of devices in all periods of measurements. Conclusions. The SHC “Rytm” appears to be acceptable for RR intervals registration and the HRV analysis during physical loads and recovery period.

A New Tool for Nonlinear Dynamical Analysis of Heart Rate Variability

1998 ◽  
Vol 53 (3-4) ◽  
pp. 112-116 ◽  
Author(s):  
A. Posiewnik ◽  
J. Da̢bkowski
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Qualitative Assessment ◽  
Dynamical Analysis ◽  
Heart Activity ◽  
Time Intervals ◽  
Rr Intervals ◽  
Nonlinear Dynamical ◽  
Nonlinear Dynamical Analysis

Abstract In this paper we analyse the sequences of the time intervals between heart-beats-the RR intervals-by means of AIP (artificial insymmetration patterns) diagrams.The sequences were produced by artificial heartbeat sequences generated numerically and compared with sequences obtained from real heart activity.We hope that the AIP diagrams method will prove useful for a rapid qualitative assessment of dynamics from nonlinear time series, and that it is able to distinguish various types of heart dynamics (regular and pathological), while other diagnostical methods fail.

Effects of R-R time series accuracy on heart rate variability indexes

2019 ◽  
pp. 27-35
Author(s):  
Johan Cassirame ◽  
Simon Chevrolat ◽  
Laurent Mourot
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Measurement Errors ◽  
Submaximal Exercise ◽  
Healthy Male ◽  
Times Series ◽  
Significant Difference ◽  
And Performance ◽  
Male Subjects

Our study aims to quantify the effect of inaccuracy in the R-R times series on heart rate variability (HRV) indexes. Starting from 75 series measured in supine, standing and submaximal exercise situations in 25 healthy male subjects, we generated 15 new R-R time series with accuracy from ±2 to 30 ms. HRV analyses was performed on the 1200 obtained series and compared with the results of the original series. The results showed that during supine, HRV indexes were moderately affected by inaccuracy up to ±30 ms. However, during standing, the indexes were affected to a greater degree and it was even more evident during exercise: in this later case significant difference in the root mean square of successive standard deviations (rMSSD), a commonly used parasympathetic index in sport sciences for both health and performance purposes, were observed when inaccuracy was equal or greater than 4 ms. Also, a relationship between inaccuracy and rMSSD was highlighted: the lower the rMSSD, the greater the error. Our study underscored the importance of the accuracy of R-R measurement for heart rate variability and provides recommendation regarding technology and measurement errors on final results.

scholarly journals Are smoking and passive smoking related with heart rate variability in male adolescents?

2015 ◽  
Vol 13 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Renata Melo Gondim ◽  
Breno Quintella Farah ◽  
Carolina da Franca Bandeira Ferreira Santos ◽  
Raphael Mendes Ritti-Dias
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Passive Smoking ◽  
High Frequency ◽  
Heart Rate Monitor ◽  
Rr Intervals ◽  
Male Adolescents ◽  
Significant Difference ◽  
Frequency Domains ◽  
Time Standard

Objective To analyze the relation between smoking and passive smoking with heart rate variability parameters in male adolescents. Methods The sample consisted of 1,152 males, aged 14 and 19 years. Data related to smoking and passive smoking were collected using a questionnaire. RR intervals were obtained by a heart rate monitor, on supine position, for 10 minutes. After collecting the RR intervals, time (standard deviation of all RR intervals, root mean square of the squared differences between adjacent normal RR intervals and the percentage of adjacent intervals over 50ms) and frequency domains (low and high frequency and sympathovagal balance) parameters of heart rate variability were obtained. Results No significant differences between smoker and nonsmoker adolescents were observed in heart rate variability parameters (p>0.05). Similarly, heart rate variability parameters did not show significant difference between exposed and not exposed to passive smoking (p>0.05). Conclusion Cigarette smoking and passive smoking are not related to heart rate variability in adolescence.

Abstract 13500: Association Between Breast Cancer and Cardiac Autonomic Function as Measured by Heart Rate Variability in the Women’s Health Initiative

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Mary Branch ◽  
Christopher L Schaich ◽  
Daniel Beavers ◽  
Elsayed Z Soliman ◽  
Kerryn Reding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Women's Health ◽  
Rr Intervals ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
Incident Breast Cancer ◽  
The Women’S Health Initiative

Background: Autonomic dysfunction (AD) as measured by heart rate variability (HRV) is associated with increased risk of cardiovascular disease (CVD) and breast cancer. No study has utilized a large prospective multi-center cohort of diverse women to assess differences in HRV associated with incident breast cancer. Objectives: To identify heart rate variability changes in women with breast cancer compared to controls in the Women’s Health Initiative (WHI). Methods: In a retrospective cohort study, we utilized 5,031 women in the WHI CT cohort who were breast cancer free at baseline and compared 1) those with incident breast cancer v. 2) those who were breast cancer free during the ECG follow-up period as controls. HRV was calculated utilizing 10-second ECG with two measures of two-domain HRV: standard deviation of all normal-to-normal RR intervals (SDNN) and the root mean square of successive differences in normal-to-normal RR intervals (rMSSD). HRV was measured from ECGs collected at baseline, years 3, 6, and 9 in the comparison groups. An adjusted mixed linear model was used to evaluate the differences in SDNN and rMSSD comparing women with incident breast cancer to controls. Cardiovascular risk factors utilized in the adjusted model were determined via questionnaire at baseline. Results: At baseline, women with incident breast cancer diagnosed by years 3, 6, or 9 were significantly older (median age 63 vs. 61, P<0.0001) and had a higher prevalence of hypertension (35% vs. 32%, P=0.02). SDNN at years 3 and 6 in women with breast cancer compared to controls was significantly lower (P=0.0002, P=0.03 respectively). As well, rMSSD was significantly lower at year 3 compared to controls (P<0.0001) ( Figure 1 ). Conclusions: HRV as a measure of AD is significantly lower in women with incident breast cancer compared to women without breast cancer. Reduction in HRV is associated with CVD outcomes in the literature. Our study suggests HRV may predict CVD in breast cancer patients.

On the fractal nature of heart rate variability in humans: effects of respiratory sinus arrhythmia

1995 ◽  
Vol 269 (2) ◽  
pp. H480-H486 ◽  
Author(s):  
Y. Yamamoto ◽  
J. O. Fortrat ◽  
R. L. Hughson
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Coarse Graining ◽  
Resting Heart Rate ◽  
Breathing Frequency ◽  
Fractal Nature ◽  
Sinus Arrhythmia ◽  
Spectral Exponent ◽  
Random Fractal

The purpose of the present study was to investigate the basic fractal nature of the variability in resting heart rate (HRV), relative to that in breathing frequency (BFV) and tidal volume (TVV), and to test the hypothesis that fractal HRV is due to the fractal BFV and/or TVV in humans. In addition, the possible fractal nature of respiratory volume curves (RVC) and HRV was observed. In the first study, eight subjects were tested while they sat quietly in a comfortable chair for 60 min. Beat-to-beat R-R intervals, i.e., HRV, and breath-by-breath BFV and TVV were measured. In the second study, six subjects were tested while they were in the supine position for 20-30 min. The RVC was monitored continuously together with HRV. Coarse-graining spectral analysis (Yamamoto, Y., and R. L. Hughson, Physica D 68: 250-264, 1993) was applied to these signals to evaluate the percentage of random fractal components in the time series (%Fractal) and the spectral exponent (beta), which characterizes irregularity of the signals. The estimates of beta were determined for each variable only over the range normally used to evaluate HRV. Values for %Fractal and beta of both BFV and TVV were significantly (P < 0.05) greater than those for HRV. In addition, there was no significant (P > 0.05) correlation between the beta values of HRV relative to either BFV (r = 0.14) or TVV (r = 0.34). RVC showed a smooth oscillation as compared with HRV; %Fractal for RVC (42.3 +/- 21.7%, mean +/- SD) was significantly (P < 0.05) lower than that for HRV (78.5 +/- 4.2%).(ABSTRACT TRUNCATED AT 250 WORDS)

An application of fractional differintegration to heart rate variability time series

2013 ◽  
Vol 111 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Miguel A. García-González ◽  
Mireya Fernández-Chimeno ◽  
Lluis Capdevila ◽  
Eva Parrado ◽  
Juan Ramos-Castro
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability

scholarly journals Investigation of Cardiovascular Endurance Levels of Sedentary High School Students

2018 ◽  
Vol 6 (5) ◽  
pp. 144
Author(s):  
Betül Akyol ◽  
Kayhan Söğüt
Keyword(s):  
High School ◽  
Heart Rate ◽  
High School Students ◽  
Oxygen Saturation ◽  
Recovery Period ◽  
Step Test ◽  
School Students ◽  
Walking Test ◽  
Cardiovascular Endurance ◽  
Significant Difference

The aim of our study is to examine the cardiovascular endurance systems of sedentary high school students. The 112 sedentary individual was taken to the 1600 meter walking test run, and the 120 sedentary individual Harward step test. While both individuals were participating in the same test, weight, height, oxygen saturation, and heart rate of participants were measured before starting the test. As soon as the test is finished (recovery period), oxygen saturation and heart rate variability of individuals are measured at 1, 3, 5 minutes. All measured variables were analyzed and compared. Analysis of the data was done according to the SPSS statistical program and the significance level was accepted as p <0.05. In the 1600-meter walking test, it was observed that there was a significant difference in mean heart rate between males and females p<0.05. There was a significant difference between the mean values of the time of completion of the 1600 m running test by males and females (p < 0.05). During the 1600-meter walking and Harward step test recovery period, there was no difference in the participants' parameters. There was no significant difference between oxygen saturations at beginning, recovery 1st, 3rd, and 5th minutes in both tests. Significant differences were found between heart rate and oxygen saturation values (beginning, recovery 1st, 3rd, and 5th minutes) in the intra-group comparisons of both groups. Participants' heart rates began to increase with exercise, but remained above the initial heart rate level during recovery. Participants' body mass indexes were observed to be within normal values. We think that can be increased cardio respiratory and cardiovascular fitness levels and can been created lifelong exercise habits by regular exercise programs are given to Sedentary high school students. Thus, we believe that the young population can be prevented from getting sick by providing healthier, social, active individuals.

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