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.

Effect of amiodarone on heart rate variability in patients with newly diagnosed atrial fibrillation (clinical observation)

2020 ◽  
pp. 81-85
Author(s):  
E. P. Popova ◽  
O. T. Bogova ◽  
S. N. Puzin ◽  
D. A. Sychyov ◽  
V. P. Fisenko
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Drug Therapy ◽  
Heart Function ◽  
Newly Diagnosed ◽  
Class Iii ◽  
Spectral Parameters ◽  
Patient Will ◽  
The Individual

Spectral analysis of heart rate variability gives an idea of the role of the autonomic nervous system in the regulation of chronotropic heart function. This method can be used to evaluate the effectiveness of drug therapy. Drug therapy should be carried out taking into account the individual clinical form of atrial fibrillation. Information about the vegetative status of the patient will undoubtedly increase the effectiveness of treatment. In this study, spectral parameters were studied in patients with newly diagnosed atrial fibrillation. The effect of antiarrhythmic drug class III amiodarone on the spectral parameters of heart rate variability was studied.

Overnight call is associated with poor resting heart rate and heart rate variability in orthopaedic surgeons

2019 ◽  
Vol 4 (3) ◽  
pp. 123-126
Author(s):  
Kyle R Sochacki ◽  
David Dong ◽  
Leif Peterson ◽  
Patrick C McCulloch ◽  
Kevin Lisman ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Orthopaedic Surgery ◽  
Resting Heart Rate ◽  
Linear Regression Models ◽  
Level Of Evidence ◽  
Cross Sectional ◽  
Hours Worked ◽  
Significance Level ◽  
Orthopaedic Surgeons

ObjectivesThe purpose of this study was to determine orthopaedic surgery residents’ and attending surgeons’ resting heart rate (RHR) and heart rate variability (HRV) and if there is a correlation between subject-specific variables (age, attending surgeon, resident, postgraduate year (PGY) level, gender, number of calls, total hours worked, and total hours of sleep) and surgeon RHR and HRV.MethodsOrthopaedic surgery residents and attending surgeons at a single institution were prospectively enrolled and provided a validated wearable device to determine hours of sleep, RHR and HRV. Demographic information, hours worked and overnight calls were recorded. Bivariate correlations were determined using the Spearman rank correlation. Multiple linear regression models were constructed to determine the effect of relevant variables. All p values were reported, and a significance level of α=0.05 was used (p<0.05).ResultsTwenty-one of 26 enrolled subjects completed the 4-week study. The average RHR and HRV for orthopaedic surgeons was 61.8+10.0 bpm and 42.96+21.2ms, respectively. Residents had a significantly higher RHR (66.4+8.4 vs 55.6+8.9, p=0.011) compared with attending surgeons. Overnight calls had the strongest association with decreased HRV (r=−0.447; p=0.038), moderate positive correlation with RHR (r=0.593; p=0.005) and weak negative correlation with HRV (r=−0.469; p=0.032). There was no significant correlation between PGY level, gender, total hours worked and total hours of sleep with RHR or HRV.ConclusionOrthopaedic surgeons have poor RHR and HRV. Additionally, the number of overnight calls had the strongest correlation with worse RHR and HRV.Level of evidenceLevel II; diagnostic, individual cross-sectional study with a consistently applied reference standard.

scholarly journals Recovery behavior after matches for returning to training in volleyball athletes

2021 ◽  
Vol 38 (5) ◽  
pp. 343-349
Author(s):  
Ananda S. Cardoso ◽  
Guilherme P. Berriel ◽  
Pedro Schons ◽  
Rochelle R. Costa ◽  
Luiz Fernando M. Kruel
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Negative Correlation ◽  
Perceived Exertion ◽  
Recovery Period ◽  
Ratings Of Perceived Exertion ◽  
Significance Level ◽  
Recovery Behavior ◽  
Vertical Jumps ◽  
And Training

The aim of this research was to evaluate the behavior of vertical jumps performance in professional volleyball athletes during matches and training and their relationships with fatigue and recovery through heart rate variability (HRV), ratings of perceived exertion (RPE) and perceived recovery status (PRS). Nine male professional volleyball athletes participated in the study, with mean age: 25.66 ± 5.7 years, mean body mass: 97.81 ± 8.65 Kg and mean height: 200.94 ± 5.19 cm, with experience in national and international competitions. HRV and PRS were evaluated in the morning of matches and in the presentation for the first day of training after matches. RPE was collected immediately after matches and at the end of training days. Jumps performance was monitored during the matches and during the first days of training. The data was grouped by matches and training sessions. Significance level adopted was α ≤ 0.05. There were no alterations in HRV and PRS evaluated after matches and before training sessions, as well as in RPE after training. Jumps height was greater during the matches (p< 0.013) and there were no differences in the number of jumps. There was a positive correlation between the number of jumps during matches and PRS before matches (r= 0.336, p= 0.015) and a negative correlation between the number of jumps during training and pre-training PRS (r= -0.318, p= 0.002). We conclude that the recovery period proposed by the team proved to be sufficient for the athletes to maintain the same condition for returning to training. This information can assist physical trainers to prescribe training loads for the return to training.

scholarly journals Executive Stress Management: Physiological Load of Stress and Recovery in Executives on Workdays

2018 ◽  
Vol 15 (12) ◽  
pp. 2847 ◽  
Author(s):  
Beatriz Crespo-Ruiz ◽  
Shai Rivas-Galan ◽  
Cristina Fernandez-Vega ◽  
Carmen Crespo-Ruiz ◽  
Luis Maicas-Perez
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Stress Management ◽  
High Performance ◽  
Working Hours ◽  
Stress Recovery ◽  
Quality Of Recovery ◽  
Physiological Load ◽  
The Relationship

Objective: The use of high-performance sports technology to describe the physiological load of stress and the quality of recovery in a population of executives during the workday. Methodology: Heart rate variability values were recorded during 48 h from which the relationship between stress/recovery quality (stress balance) was obtained for three differentiated time slots: work, after work, and night in a workday. Results: We observed a negative stress balance during the 24 h of measurement in the course of a workday, being negative at work and after work, and positive at night. The stress generated or maintained outside working hours correlates significantly with a lower quality of recovery during the 24 h workday. Conclusions: It is necessary to prioritize strategies that help improve stress management in executives through the improvement of tools and strategies that mainly promote greater relaxation outside working hours.

Effect of resistance training volume on heart rate variability in young adults

2019 ◽  
Vol 27 (1) ◽  
pp. 69-77
Author(s):  
Leonardo S. Fortes ◽  
Maria E.C. Ferreira ◽  
Santiago T. Paes ◽  
Manoel C. Costa ◽  
Dalton R.A.A. Lima-Júnior ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Young Adults ◽  
Resistance Training ◽  
Training Volume

Time-variant heart-rate variability spectral parameters during dobutamine test

2002 ◽  
Author(s):  
L.T. Mainardi ◽  
E. Petrucci ◽  
V. Balian ◽  
A.M. Bianchi ◽  
A. Porta ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Parameters

scholarly journals FREQUENCY ANALYSIS OF CARDIAC DATA OBTAINED THROUGH HOLTER MONITORING IN REAL LIVING CONDITIONS

2019 ◽  
Vol 7 ◽  
pp. 870-874
Author(s):  
Galya Nikolova Georgieva-Tsaneva
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Frequency ◽  
Scientific Literature ◽  
Real Life ◽  
Low Frequency ◽  
Holter Monitoring ◽  
Heart Rate Variability Analysis ◽  
Healthy Individuals ◽  
Spectral Parameters

The paper presents frequency methods for estimating the variability of intervals between individual heart beats in Electrocardiogram. This parameter is known in the scientific literature as the Heart Rate Variability and with this method it is possible to make predictions about human health. Three frequency ranges have been studied: Very Low Frequency, Low Frequency, and High Frequency. The study in this paper was based on real cardiological data obtained from 33 patients suffering from heart fibrillations and 29 healthy individuals. The investigated records are obtained through a Holter monitoring of studied individuals in real life conditions. The obtained results show significantly lower values ​​of the tested spectral parameters in the diseased individuals compared to the healthy controls. The accomplished study shows the effective applicability of the spectral methods of Heart Rate Variability analysis and the possibility of differentiation by the spectral parameters of the patients from healthy individuals.

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