Components of heart rate variability measured during healing of acute myocardial infarction

In order to assess the relative influence of age, resting heart rate (HR) and sedentary life style, heart rate variability (HRV) was studied in two different groups. The young group (YG) consisted of 9 sedentary subjects aged 15 to 20 years (YG-S) and of 9 nonsedentary volunteers (YG-NS) also aged 15 to 20. The elderly sedentary group (ESG) consisted of 16 sedentary subjects aged 39 to 82 years. HRV was assessed using a short-term procedure (5 min). R-R variability was calculated in the time-domain by means of the root mean square successive differences. Frequency-domain HRV was evaluated by power spectrum analysis considering high frequency and low frequency bands. In the YG the effort tolerance was ranked in a bicycle stress test. HR was similar for both groups while ESG showed a reduced HRV compared with YG. Within each group, HRV displayed a negative correlation with HR. Although YG-NS had better effort tolerance than YG-S, their HR and HRV were not significantly different. We conclude that HRV is reduced with increasing HR or age, regardless of life style. The results obtained in our short-term study agree with others of longer duration by showing that age and HR are the main determinants of HRV. Our results do not support the idea that changes in HRV are related to regular physical activity.

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“…This index is considered to be a good marker for the fast changes in R-R duration (6,28) which is useful for parasympathetic activity evaluation.…”

Section: Discussionmentioning

confidence: 99%

“…Diabetes (3,4), coronary artery disease (5,6) and heart failure (7,8) are the most extensively studied. In all of these cases, there is a reduction of parasympathetic activity and an increase in sympathetic outflow.…”

Section: Introductionmentioning

confidence: 99%

Relative influence of age, resting heart rate and sedentary life style in short-term analysis of heart rate variability

Migliaro

Contreras

Bech

et al. 2001

Braz J Med Biol Res

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“…Of current measures of autonomic nervous system function, HRV (the moment-to-moment change in heart beat intervals) provides a simple, noninvasive means of examining both short-and long-term patterns during different behavioral states. The loss of HRV is reported to reflect an alteration in autonomic nervous system function (16)(17)(18). A number of disease states are associated with changes in HRV, including heart failure (19,20), sudden infant death syndrome (21), myocardial infarction (22,23), prematurity (24), neonatal respiratory distress syndrome (25)(26)(27)(28), and diabetes (29).…”

mentioning

confidence: 99%

Heart Rate Variability in Congenital Central Hypoventilation Syndrome

Woo²,

et al. 1992

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ABSTRACT. Heart rate variability was assessed in 12 patients with congenital central hypoventilation syndrome (CCHS) and in age-and sex-matched controls using SD of time intervals between R waves (R-R intervals), R-R interval histograms, spectral analysis, and PoincarC plots of sequential R-R intervals over a 24-h period using ambulatory monitoring. Mean heart rates in patients with CCHS were 103.3 f 17.7 SD and in controls were 98.8 f 21.6 SD ( p > 0.5, NS). SD analysis of R-R intervals showed similar results in both groups (CCHS 102.2 f 36.0 ms versus controls 126.1 f 43.3 ms; p > 0.1, NS). Spectral analysis revealed that, for similar epochs sampled during quiet sleep and wakefulness, the ratios of low-frequency band to high-frequency band spectral power were increased for 11 of 12 patients with CCHS during sleep, whereas a decrease in these ratios was consistently observed in all controls during comparable sleep states (xZ = 20.31; p < 0.000007). During wakefulness, the ratios of low-frequency band to high-frequency band spectral power were similar in both patients with CCHS and controls. Poincare plots displayed significantly reduced beat-to-beat changes at slower heart rates in the CCHS patients (xZ = 24.0; p < 0.000001). The scatter of points in CCHS Poincare plots was easily distinguished from controls. All CCHS patients showed disturbed variability with one or more measures. The changes in moment-to-moment heart rate variability suggest that, in addition to a loss of ventilatory control, CCHS patients exhibit a dysfunction in autonomic nervous system control of the heart. (Pediafr Res 31: 291-296, 1992) Abbreviations CCHS, congenital central hypoventilation syndrome HRV, heart rate variability R-R, time interval between R waves LO-HI, ratio of low-frequency band to high-frequency band spectral power

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“…When a person is exposed to stressors, the sympathetic nervous system (SNS), which is one of the two divisions of the ANS, is activated and the parasympathetic nervous system (PNS), the other division of ANS, is suppressed to fight or adapt to the stressors, whereas when a person is relaxed, SNS is suppressed and PNS is activated [2,5,37]. The activation of SNS mitigates the fluctuation of RRIs and decreases HRV, whereas the activation of PNS causes the increase in HRV [4,50]. HRV immediately reacts to the appearance of stressors, such as the change in temperature, noise, and the concentration of carbon monoxide in the atmosphere [32].…”

Section: Physiological Stress and Hrvmentioning

confidence: 99%

Measuring Affective Well-Being by the Combination of the Day Reconstruction Method and a Wearable Device: Case Study of an Aging and Depopulating Community in Japan

Ishio

Abe

2017

Augment Hum Res

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Affective well-being indicates the changes in the predominance of positive or negative affects of people in response to their daily experiences. For measuring affective well-being, people are usually asked to indicate their affective states in several episodes that they experienced in a day. However, such conventional methods have been problematic in terms of their burdensomeness on participants and the validity of the rating. To overcome these problems, we attempted to introduce a new approach for measuring affective states, based on the combination of the day reconstruction method and the measurement of physiological stress levels by a wristband-type wearable device. As the indicator of physiological stress levels, we used heart rate variability calculated from the data recorded by the device. We examined the interpretability of the physiological stress level as a substitute for affective states by applying this combinational approach to an aging and depopulating village in Japan, because the well-being of the residents in such areas is a matter of public concern. As a result, we could depict the sources of affective well-being and the physiological stressors in the village. We also found a reasonable, but weak, correlation between the scores of affective states and the indicator of physiological stress levels. We discussed the challenges that should be overcome for utilizing the physiological stress level as a substitute for affective state.

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Components of heart rate variability measured during healing of acute myocardial infarction

Cited by 345 publications

References 21 publications

Relative influence of age, resting heart rate and sedentary life style in short-term analysis of heart rate variability

Relative influence of age, resting heart rate and sedentary life style in short-term analysis of heart rate variability

Heart Rate Variability in Congenital Central Hypoventilation Syndrome

Measuring Affective Well-Being by the Combination of the Day Reconstruction Method and a Wearable Device: Case Study of an Aging and Depopulating Community in Japan

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