Intercorrelation analyses among age, spectral parameters of heart rate variability and respiration in human volunteers

Heart rate variability: a review

Heart rate variability (HRV) is a reliable reflection of the many physiological factors modulating the normal rhythm of the heart. In fact, they provide a powerful means of observing the interplay between the sympathetic and parasympathetic nervous systems. It shows that the structure generating the signal is not only simply linear, but also involves nonlinear contributions. Heart rate (HR) is a nonstationary signal; its variation may contain indicators of current disease, or warnings about impending cardiac diseases. The indicators may be present at all times or may occur at random-during certain intervals of the day. It is strenuous and time consuming to study and pinpoint abnormalities in voluminous data collected over several hours. Hence, HR variation analysis (instantaneous HR against time axis) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system. Computer based analytical tools for in-depth study of data over daylong intervals can be very useful in diagnostics. Therefore, the HRV signal parameters, extracted and analyzed using computers, are highly useful in diagnostics. In this paper, we have discussed the various applications of HRV and different linear, frequency domain, wavelet domain, nonlinear techniques used for the analysis of the HRV.

Differing effects of age on heart rate variability in men and women

Gender and age are both known to affect heart rate variability (HRV). Their interaction is not known. HRV, determined from 24-hour Holter recordings, was compared between gender-matched older (15 men and 15 women, aged 67 +/- 3 years, range 64 to 76) and younger (15 men and 15 women, aged 33 +/- 4 years, range 26 to 42) subjects selected for an age difference of approximately 35 years. HRV for older and younger subjects was compared separately by gender. HRV was also compared by gender within groups. Heart rates were significantly higher, and all time and frequency domain indexes of HRV were significantly lower among the older than among the younger men. Among the women only the shorter term indexes of HRV were significantly lower in the older group. When HRV was compared by gender within age groups, there were no significant differences between men and women in the older group. In the younger group, men had lower heart rates, and all 24-hour time domain indexes of HRV, except those that reflect vagal modulation of heart rate, were significantly higher than those in women. We conclude that HRV is comparable in older men and women. However, HRV is differently affected by age. In men, for whom initial levels of HRV are significantly higher, older age is associated with a global reduction in HRV, reflecting reductions in both sympathetic and parasympathetic modulation and a loss of circadian variability. In women, older age is associated mainly with a decline in shorter term indexes of HRV without significant changes in circadian variability.

Interrelationships among measures of autonomic activity and cardiovascular risk factors during orthostasis and the oral glucose tolerance test

Overstimulation of sympathetic nervous system activity is related to atherosclerotic cardiovascular disease risk, but the role of parasympathetic activity in this association is not clear. This study evaluated sympathetic and parasympathetic function by spectral analysis of heart rate variability and plasma levels of norepinephrine (NE) epinephrine (EPI), dihydroxyphenylglycol (DHPG), dihydroxyphenylalanine (DOPA) and dihydroxyphenylacetic acid (DOPAC). It also examined the interrelationships among these parameters and established atherosclerotic cardiovascular disease risk factors in 53 men (mean age 59.5 years). During supine rest, low-frequency power correlated positively with high-frequency power (r = 0.58, p < 0.001), plasma NE correlated with plasma DHPG (r = 0.41, p < 0.001) and plasma DOPA with DOPAC (r = 0.47, p < 0.001) but neither low- nor high-frequency power was correlated with plasma levels of any catechol. Among risk factors, plasma NE correlated with fasting insulin and mean arterial blood pressure, and urine NE correlated with body mass index. Both low- and high-frequency power correlated positively with insulin levels. Orthostasis decreased high-frequency power and increased low-frequency power and plasma NE levels. During the oral glucose tolerance test, both high- and low-frequency power increased, plasma NE levels were unchanged, and plasma EPI levels decreased [88.5 +/- 18 (SEM) versus 52.5 +/- 12 pM, p = 0.001]. The results suggest that orthostasis decreases and the oral glucose tolerance test increases parasympathetic outflows, whereas both stimuli increase sympathetic outflows. Among all atherosclerotic cardiovascular disease risk factors, hyperinsulinaemia showed the strongest association with autonomic nervous system activity, especially parasympathetic activity. Estimates of sympathetic responses obtained from power spectral analysis of heart rate variability agree poorly with those from plasma levels of catechols, possibly because of a parasympathetic contribution to low-frequency power and independence of sympathoneural outflows to the arm and heart.