scholarly journals On the Variability of Heart Rate Variability—Evidence from Prospective Study of Healthy Young College Students

Entropy ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 1302
Author(s):  
Xingran Cui ◽  
Leirong Tian ◽  
Zhengwen Li ◽  
Zikai Ren ◽  
Keyang Zha ◽  
...  
Keyword(s):  
College Students ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Daily Activities ◽  
Recording Time ◽  
Detection Algorithms ◽  
Multi Scale ◽  
Gender Influence ◽  
Recording Conditions ◽  
Young Subjects

Heart rate variability (HRV) has been widely used as indices for autonomic regulation, including linear analyses, entropy and multi-scale entropy based nonlinear analyses, and however, it is strongly influenced by the conditions under which the signal is being recorded. To investigate the variability of healthy HRV under different settings, we recorded electrocardiograph (ECG) signals from 56 healthy young college students (20 h for each participant) at campus using wearable single-lead ECG device. Accurate R peak to R peak (RR) intervals were extracted by combing the advantages of five commonly used R-peak detection algorithms to eliminate data quality influence. Thorough and detailed linear and nonlinear HRV analyses were performed. Variability of HRV metrics were evaluated from five categories: (1) different states of daily activities; (2) different recording time period in the same day during free-running daily activities; (3) body postures of sitting and lying; (4) lying on the left, right and back; and (5) gender influence. For most of the analyzed HRV metrics, significant differences (p < 0.05) were found among different recording conditions within the five categories except lying on different positions. Results suggested that the standardization of ECG data collection and HRV analysis should be implemented in HRV related studies, especially for entropy and multi-scale entropy based analyses. Furthermore, this preliminary study provides reference values of HRV indices under various recording conditions of healthy young subjects that could be useful information for different applications (e.g., health monitoring and management).

Effects of increased training load on vagal-related indexes of heart rate variability: a novel sleep approach

2004 ◽  
Vol 287 (6) ◽  
pp. H2813-H2818 ◽  
Author(s):  
M. Buchheit ◽  
C. Simon ◽  
F. Piquard ◽  
J. Ehrhart ◽  
G. Brandenberger
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Slow Wave Sleep ◽  
Training Load ◽  
Vagal Activity ◽  
Lower Heart Rate ◽  
Sleep Parameters ◽  
Recording Conditions ◽  
Young Subjects ◽  
Better Than

There is little doubt that moderate training improves cardiac vagal activity and thus has a cardioprotective effect against lethal arrhythmias. Our purpose was to learn whether a higher training load would further increase this beneficial effect. Cardiac autonomic control was inferred from heart rate variability (HRV) and analyzed in three groups of young subjects (24.5 ± 3.0 yr) with different training states in a period free of stressful stimuli or overload. HRV was analyzed in 5-min segments during slow-wave sleep (SWS, a parasympathetic state that offers high electrocardiographic stationarity) and compared with data collected during quiet waking periods in the morning. Sleep parameters, fatigue, and stress levels checked by questionnaire were identical for all three groups with no signs of overtraining in the highly trained (HT) participants. During SWS, a significant ( P < 0.05) increase in absolute and normalized vagal-related HRV indexes was observed in moderately trained (MT) individuals compared with sedentary (Sed) subjects; this increase did not persist in HT athletes. During waking periods, most of the absolute HRV indexes indistinctly increased in MT individuals compared with controls ( P < 0.05) but did not increase in HT athletes. Normalized spectral HRV indexes did not change significantly among the three groups. Heart rate was similar for MT and Sed subjects but was significantly ( P < 0.05) lower in HT athletes under both recording conditions. These results indicate that SWS discriminates the state of sympathovagal balance better than waking periods. A moderate training load is sufficient to increase vagal-related HRV indexes. However, in HT individuals, despite lower heart rate, vagal-related HRV indexes return to Sed values even in the absence of competition, fatigue, or overload.

Cardiac Response During Trumpet Playing

2010 ◽  
Vol 25 (1) ◽  
pp. 16-21 ◽  
Author(s):  
Donald U Robertson ◽  
Lynda Federoff ◽  
Keith E Eisensmith
Keyword(s):  
College Students ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiac Output ◽  
Stroke Volume ◽  
Cardiac Response ◽  
Physiological Efficiency ◽  
Rest Periods ◽  
Upper Register

Heart rate, heart rate variability, stroke volume, and cardiac output were measured while six college students and six professionals played trumpet. One-minute rest periods were followed by 1 minute of playing exercises designed to assess the effects of pitch and articulation. Heart rate and heart rate variability increased during playing, but stroke volume decreased. Changes in heart rate between resting and playing were greater for students, although beat-to-beat variability was larger for professionals in the upper register. These results suggest that expertise is characterized by greater physiological efficiency.

Effects of mobile phone radiation on heart rate variability of healthy young subjects

2015 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
AnupM Vegad ◽  
YogeshK Kacha ◽  
HemantB Mehta ◽  
ChinmayJ Shah ◽  
MaulikS Varu
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mobile Phone ◽  
Young Subjects ◽  
Mobile Phone Radiation

scholarly journals Assessment of Heart Rate Variability during an Endurance Mountain Trail Race by Multi-Scale Entropy Analysis

Entropy ◽  
2017 ◽  
Vol 19 (12) ◽  
pp. 658 ◽  
Author(s):  
Montserrat Vallverdú ◽  
Aroa Ruiz-Muñoz ◽  
Emma Roca ◽  
Pere Caminal ◽  
Ferran Rodríguez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Entropy Analysis ◽  
Multi Scale

Sleep stage-dependent changes in tonic masseter and cortical activities in young subjects with primary sleep bruxism

SLEEP ◽  
2021 ◽  
Author(s):  
Risa Toyota ◽  
Ken-ichi Fukui ◽  
Mayo Kamimura ◽  
Ayano Katagiri ◽  
Hajime Sato ◽  
...  
Keyword(s):  
Heart Rate ◽  
Cluster Analysis ◽  
Heart Rate Variability ◽  
Masseter Muscle ◽  
Muscle Tone ◽  
Sleep Stage ◽  
Sleep Bruxism ◽  
Sleep Stages ◽  
Quiet Sleep ◽  
Young Subjects

Abstract Study Objectives The present study investigated the hypothesis that subjects with primary sleep bruxism (SB) exhibit masseter and cortical hyperactivities during quiet sleep periods that are associated with a high frequency of rhythmic masticatory muscle activity (RMMA). Methods Fifteen SB and ten control participants underwent polysomnographic recordings. The frequencies of oromotor events and arousals and the percentage of arousals with oromotor events were assessed. Masseter muscle tone during sleep was quantified using a cluster analysis. Electroencephalography power and heart rate variability were quantified and then compared between the two groups and among sleep stages. Results The frequency of RMMA and percentage of arousals with RMMA were significantly higher in SB subjects than in controls in all stages, while these variables for non-rhythmic oromotor events did not significantly differ between the groups. In SB subjects, the frequency of RMMA was the highest in stage N1 and the lowest in stages N3 and R, while the percentage of arousals with RMMA was higher in stage N3 than stages N1 and R. The cluster analysis classified masseter activity during sleep into two clusters for masseter tone and contractions. Masseter muscle tone showed typical stage-dependent changes in both groups, but did not significantly differ between the groups. Furthermore, no significant differences were observed in electroencephalography power or heart rate variability between the groups. Conclusion Young SB subjects exhibited sleep stage-dependent increases in the responsiveness of RMMA to transient arousals, but did not show masseter or cortical hyperactivity during sleep.

scholarly journals Dynamics of heart rate variability analysed through nonlinear and linear dynamics is already impaired in young type 1 diabetic subjects

2016 ◽  
Vol 26 (7) ◽  
pp. 1383-1390 ◽  
Author(s):  
Naiara M. Souza ◽  
Thais R. Giacon ◽  
Francis L. Pacagnelli ◽  
Marianne P. C. R. Barbosa ◽  
Vitor E. Valenti ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 1 Diabetes ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Type 1 Diabetes Mellitus ◽  
Autonomic Nervous ◽  
Young Subjects

AbstractBackgroundAutonomic diabetic neuropathy is one of the most common complications of type 1 diabetes mellitus, and studies using heart rate variability to investigate these individuals have shown inconclusive results regarding autonomic nervous system activation.AimsTo investigate the dynamics of heart rate in young subjects with type 1 diabetes mellitus through nonlinear and linear methods of heart rate variability.MethodsWe evaluated 20 subjects with type 1 diabetes mellitus and 23 healthy control subjects. We obtained the following nonlinear indices from the recurrence plot: recurrence rate (REC), determinism (DET), and Shanon entropy (ES), and we analysed indices in the frequency (LF and HF in ms2 and normalised units – nu – and LF/HF ratio) and time domains (SDNN and RMSSD), through analysis of 1000 R–R intervals, captured by a heart rate monitor.ResultsThere were reduced values (p<0.05) for individuals with type 1 diabetes mellitus compared with healthy subjects in the following indices: DET, REC, ES, RMSSD, SDNN, LF (ms2), and HF (ms2). In relation to the recurrence plot, subjects with type 1 diabetes mellitus demonstrated lower recurrence and greater variation in their plot, inter-group and intra-group, respectively.ConclusionYoung subjects with type 1 diabetes mellitus have autonomic nervous system behaviour that tends to randomness compared with healthy young subjects. Moreover, this behaviour is related to reduced sympathetic and parasympathetic activity of the autonomic nervous system.

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