Typoloagical characteristics of the functional state of regulatory systems in schoolchildren and young athletes (According to Heart Rate Variability Data)

2009 ◽  
Vol 35 (6) ◽  
pp. 730-738 ◽  
Author(s):  
N. I. Shlyk ◽  
E. N. Sapozhnikova ◽  
T. G. Kirillova ◽  
V. G. Semenov
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Functional State ◽  
Young Athletes ◽  
Regulatory Systems ◽  
Variability Data

Features of changes in heart rate variability indices in driving school cadets with different levels of preparedness

2021 ◽  
Author(s):  
S.E. Bebinov ◽  
O.N. Krivoshchekova ◽  
A.V. Nechaev
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Simulator Training ◽  
Training Level ◽  
Driver Training ◽  
Traffic Conditions ◽  
Key Words Heart ◽  
Key Words Heart Rate ◽  
Regulatory Systems ◽  
Different Levels

The research was carried out on two independent experimental groups of boys and girls. The first was observed in traffic conditions, the second during the period of auto-simulator training. The HRV indices were determined: HR - heart rate, IN - index of tension of regulatory systems, AMo - amplitude of the mode, LF/HF - index of vagosympathetic interaction. A pronounced sympathetic reaction of more prepared cadets to the training load with the subsequent restoration of the studied characteristics was revealed. Key words: heart rate variability, autonomic regulation, vagosympathetic interaction, driver training, level of preparedness.

Emotion Recognition from Heart Rate Variability Data of Smartwatch While Watching a Video

2021 ◽  
Author(s):  
Reika Takeshita ◽  
Aya Shoji ◽  
Tahera Hossain ◽  
Anna Yokokubo ◽  
Guillaume Lopez
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Emotion Recognition ◽  
Variability Data

Assessment of the adaptive state of students based on the analysis of heart rate variability indicators

2021 ◽  
Author(s):  
N.V. Mishchenko ◽  
S.V. Lyalyakin ◽  
L.A. Shirkin ◽  
E.S. Knyazeva ◽  
T.A. Trifonova
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Key Words ◽  
The State ◽  
Key Words Heart ◽  
Key Words Heart Rate ◽  
Regulatory Systems ◽  
Young Students

In the course of the study, the adaptive state of VlSU students was assessed by temporal, spectral, cardiointervalographic and integral indicators of heart rate variability. The characteristic of the state of the regulatory systems of students is given. The obtained results can serve as a certain addition to the understanding of the peculiarities of the process of adaptation of young students in the conditions of studying at higher school. Key words: heart rate variability (HRV), students, adaptation, regulatory systems, sympathetic and parasympathetic influence.

scholarly journals Role of physiological monitoring in educational organizations

2019 ◽  
Vol 72 ◽  
pp. 03005
Author(s):  
Olga Shchkvirina ◽  
Dinamutdin Misirov ◽  
Marina Akopyan ◽  
Irina Loseva
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Functional State ◽  
Initial Period ◽  
Educational Environment ◽  
Convincing Evidence ◽  
Educational Process ◽  
The Body ◽  
Objective Criterion ◽  
Functional Capabilities

An indicators analysis of the first-graders functional state and vegetative homeostasis obtained in the initial period of adaptation to the educational environment revealed gender differences in the rates of the adaptation process to new learning conditions. It has been established that girls’ adaptation mechanisms turn on earlier than boys’, with their similar orientation. The article provides an experimental justification of the indicators use legitimacy for heart rate variability to assess the functional state of the body in the acute period of adaptation to the educational environment. The importance of teacher physiological literacy for the optimization of the educational process is substantiated. The results of the study are convincing evidence of the knowledge importance for the physiological foundations of the occurrence and course of physiological and mental processes, stable individual psycho-physiological characteristics for the organization of the learning environment, corresponding to the functional capabilities of the body. This argument is also confirmed by many years of experience among master students key competencies development, which allow using such an objective criterion as the current functional state of the body to ensure, through the joint efforts of parents, teachers, psychologists, and doctors, the correction of the educational environment and psycho-physiological resistance of individual to it. The established differences in the dynamics of heart rate variability indicators for girls and boys can be used to form a health-saving program in school settings.

scholarly journals Behavioral and Physiological Differences between Working Horses and Chilean Rodeo Horses in a Handling Test

Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 397 ◽  
Author(s):  
Paula Rosselot ◽  
Tiago Mendonça ◽  
Igor González ◽  
Tamara Tadich
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Physiological Responses ◽  
Group Differences ◽  
Monitor System ◽  
The Novel ◽  
Non Invasive ◽  
Lower Variability ◽  
Variability Data ◽  
Selection Of

Non-invasive measures are preferred when assessing animal welfare. Differences in behavioral and physiological responses toward a stressor could be the result of the selection of horses for specific uses. Behavioral and physiological responses of working and Chilean rodeo horses subjected to a handling test were assessed. Five behaviors, number of attempts, and the time to cross a bridge were video recorded and analyzed with the Observer XT software. Heart rate (HR) and heart rate variability (HRV), to assess the physiological response to the novel stimulus, were registered with a Polar Equine V800 heart rate monitor system during rest and the bridge test. Heart rate variability data were obtained with the Kubios software. Differences between working and Chilean rodeo horses were assessed, and within-group differences between rest and the test were also analyzed. Chilean rodeo horses presented more proactive behaviors and required significantly more attempts to cross the bridge than working horses. Physiologically, Chilean rodeo horses presented lower variability of the heart rate than working horses.

scholarly journals Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
M. M. van Gilst ◽  
B. M. Wulterkens ◽  
P. Fonseca ◽  
M. Radha ◽  
M. Ross ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Direct Application ◽  
Alternative Methods ◽  
Sleep Staging ◽  
Practical Application ◽  
Sleep Monitoring ◽  
Data Source ◽  
Variability Data ◽  
Ecg Data

Abstract Objective The maturation of neural network-based techniques in combination with the availability of large sleep datasets has increased the interest in alternative methods of sleep monitoring. For unobtrusive sleep staging, the most promising algorithms are based on heart rate variability computed from inter-beat intervals (IBIs) derived from ECG-data. The practical application of these algorithms is even more promising when alternative ways of obtaining IBIs, such as wrist-worn photoplethysmography (PPG) can be used. However, studies validating sleep staging algorithms directly on PPG-based data are limited. Results We applied an automatic sleep staging algorithm trained and validated on ECG-data directly on inter-beat intervals derived from a wrist-worn PPG sensor, in 389 polysomnographic recordings of patients with a variety of sleep disorders. While the algorithm reached moderate agreement with gold standard polysomnography, the performance was significantly lower when applied on PPG- versus ECG-derived heart rate variability data (kappa 0.56 versus 0.60, p < 0.001; accuracy 73.0% versus 75.9% p < 0.001). These results show that direct application of an algorithm on a different source of data may negatively affect performance. Algorithms need to be validated using each data source and re-training should be considered whenever possible.

Comparison of Heart Rate Recovery Following Exercise to Device-Based Heart Rate Variability Data

2006 ◽  
Vol 12 (6) ◽  
pp. S66
Author(s):  
Michael P. Husby ◽  
Steve Eddy ◽  
Satish Goel ◽  
David B. De Lurgio
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Rate Recovery ◽  
Variability Data

Monitoring Heart Rate Variability As A Biomarker Of Fatigue In Young Athletes

2020 ◽  
Author(s):  
Martina Bernaciková ◽  
Jakub Mazúr ◽  
Martin Sebera ◽  
Petr Hedbávný
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Performance ◽  
Transition Period ◽  
Training Volume ◽  
Young Athletes ◽  
Spectral Parameters ◽  
Significance Level ◽  
Sports Science ◽  
Spectral Performance

Purpose: Many high performance and especially top athletes are still at risk or suffer from total fatigue. Therefore, sports science seeks to develop an objective, sensitive and reliable method of early diagnosis of this fatigue (e.g. heart rate variability – HRV as a modern ob-jective method). The aim of the study was to evaluate whether the HRV monitoring could be a complementary diagnostic tool for overreaching / overtraining in young athletes. Already introduced “classical” indicators of HRV, such as spectral performance and its density in the established frequency ranges, are a part of athlete monitoring in the scope of overreaching prevention We were monitoring the heart rate variability parameters at three different phases of the year-long training cycle and to find out whether in one of these phases we could find athletes showing symptoms of overreaching. Methods: 48 young athletes (33 boys 14.8 ± 1.5 years, 15 girls 14.9 ± 1.7 years) were involved in the study, consisting of 38 boys and 10 girls. There were 15 swimmers (with training volume 9x 1.5‒2 hours a week), 12 artistic gymnasts (with training volume 9x 2‒2.5 hours a week) and 21 badminton players (with training volume 4x weekly 1.5‒2 hours a week). Monitoring was carried out in athletes in three training periods: at the end of the transition period, at the end of the prepared period, at the end of the competition period. Measurements were carried out in the morning. The DiANS PF8 system was used to measure the heart rate variability, the measurements were performed at five-minute intervals: lying-standing-lying. Time and spectral parameters of HRV were monitored. Results: Results of HRV in three periods (HR + rMSSD in lying). Boys: HR (61 ± 8, 64 ± 7, 64 ± 8), rMSSD (85 ± 64; 80 ± 54; 88 ± 59), TS (-0.56 ± 1.53; -0.87 ± 1.4; -0.42 ± 1.44). Girls: HR (65 ± 8; 64 ± 7; 65 ± 8), rMSSD (74 ± 37; 79 ± 35; 83 ± 43), TS (-0.58 ± 1.57; -0.72 ± 1.35); -0.18 ± 0.18). Statistically significant differences (at the significance level = 0.05) among sports were found in Kruskal-Walls ANOVAby Ranks: boys in LF-standing, HF standing, FV, SVB and TS; girls in HF-lying, HF-standing, rMSSD, TP-lying, TP-standing, FV, VA and TS. Conclusion: Monitoring of heart rate variability seems to be a practical tool for prevention of overtraining even in young age. To monitor heart rate variability, we recommend monitoring these parameters: RR, rMSSD, VA, SVB, TS.

Anova-Based Method for Hurst Exponent Estimation of Heart Rate Variability Sequences

2014 ◽  
Vol 12 (1) ◽  
pp. 9-14
Author(s):  
G. Georgieva-Tsaneva ◽  
M. Dimitrova
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Information Systems ◽  
Comparative Analysis ◽  
Hurst Exponent ◽  
Medical Information ◽  
Medical Data ◽  
Medical Information Systems ◽  
Variability Data

Abstract A method for determination of the Hurst exponent based on Analysis of Variance for processing of medical data sequences is proposed in the paper. It is compared to the “rescaled adjusted range method” developed by Hurst and applied in this paper to heart rate variability data. The obtained results and the performed comparative analysis demonstrate the possibility for effective application of the proposed method in novel medical information systems.

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