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 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 Indices of Heart Rate Variability and Performance During a Response-Conflict Task Are Differently Associated With ADHD and Autism

2021 ◽  
pp. 108705472097279
Author(s):  
Alessio Bellato ◽  
Iti Arora ◽  
Puja Kochhar ◽  
Chris Hollis ◽  
Madeleine J. Groom
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sensory Information ◽  
Response Conflict ◽  
Mediation Model ◽  
Conflict Task ◽  
Accurate Performance ◽  
And Performance ◽  
Comorbid Adhd ◽  
The Relationship

We investigated autonomic arousal, attention and response conflict, in ADHD and autism. Heart rate variability (HRV), and behavioral/electrophysiological indices of performance, were recorded during a task with low and high levels of response conflict in 78 children/adolescents (7–15 years old) with ADHD, autism, comorbid ADHD+autism, or neurotypical. ANOVA models were used to investigate effects of ADHD and autism, while a mediation model was tested to clarify the relationship between ADHD and slower performance. Slower and less accurate performance characterized ADHD and autism; however, atypical electrophysiological indices differently characterized these conditions. The relationship between ADHD and slower task performance was mediated by reduced HRV in response to the cue stimulus. Autonomic hypo-arousal and difficulties in mobilizing energetic resources in response to sensory information (associated with ADHD), and atypical electrophysiological indices of information processing (associated with autism), might negatively affect cognitive performance in those with ADHD+autism.

scholarly journals Field Monitoring the Effects of Overnight Shift Work on Specialist Tactical Police Training with Heart Rate Variability Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7895
Author(s):  
Colin Tomes ◽  
Ben Schram ◽  
Robin Orr
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Shift Work ◽  
Emergency Response ◽  
Police Training ◽  
Heart Rate Variability Analysis ◽  
Response Team ◽  
Hrv Analysis ◽  
And Performance ◽  
Personnel Allocation

Police work exposes officers to high levels of stress. Special emergency response team (SERT) service exposes personnel to additional demands. Specifically, the circadian cycles of SERT operators are subject to disruption, resulting in decreased capacity to compensate in response to changing demands. Adaptive regulation loss can be measured through heart rate variability (HRV) analysis. While HRV Trends with health and performance indicators, few studies have assessed the effect of overnight shift work on HRV in specialist police. Therefore, this study aimed to determine the effects overnight shift work on HRV in specialist police. HRV was analysed in 11 SERT officers and a significant (p = 0.037) difference was found in pRR50 levels across the training day (percentage of R-R intervals varying by >50 ms) between those who were off-duty and those who were on duty the night prior. HRV may be a valuable metric for quantifying load holistically and can be incorporated into health and fitness monitoring and personnel allocation decision making.

scholarly journals Reliability of heart rate variability threshold and parasympathetic reactivation after a submaximal exercise test

2017 ◽  
Vol 23 (1) ◽  
pp. 65-70
Author(s):  
Carlos Janssen Gomes da Cruz ◽  
◽  
Paloma da Silva Rolim ◽  
Deleon de Souza Pires ◽  
Christopher Marcos Oliveira Mendes ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Test ◽  
Submaximal Exercise ◽  
Parasympathetic Reactivation ◽  
Submaximal Exercise Test

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
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