268
Bioelectromagnetism
magnetosphere (Southwood, 1974). IBI is the time in milliseconds between consecutive heartbeats. Total
power is a measure of all the HRV bands combined, and therefore is a measure of the overall HRV from
all physiological sources, although it is highly afected by the VLF power. Space weather and environ
mental measures were obtained from three sources, comprising nine measures. Te solar wind speed,
Kp index, Ap index, number of sunspots, F10.7 index, and the geomagnetic polar cap index (PCN) were
downloaded from NASA Goddard Space Flight Center’s Space Physics Data Facility as part of the Omni
2 data set (Alabdulgader et al., 2018). Here, the F10.7 index is a “solar radio fux” at 10.7 cm (2,800 MHz)
(Tapping, 1987). Tat is a measure of the solar fux unit (sfu) frequency at a wavelength of 10.7 cm, near
the peak of the observed solar radio emission. F10.7 is ofen expressed in sfu (1 sfu = 10−22 W/m2Hz). It
represents a measure of difuse, nonradiative coronal plasma heating. It is an excellent indicator of over
all solar activity levels and correlates well with solar UV emissions. GCR counts were downloaded from
Finland’s University of Oulu’s Sodankyla Geophysical Observatory’s website (Alabdulgader et al., 2018).
Power in the time-varying MF in two frequency bands, SR Power, 3.5–36 Hz and ULF power, 2 mHz to
3.5 Hz were obtained from a recording site located in Boulder Creek, California (Alabdulgader et al.,
2018).
In agreement with previous studies (Crooker et al., 1977; Richardson et al., 1996; Mathie and Mann,
2000), solar wind speed was highly correlated with Kp and Ap indexes, and ULF power was negatively
correlated with GCR counts. As expected, the solar radio fux (F10.7) was also highly correlated with the
number of sunspots. Te SR power was negatively and highly correlated with GCR counts. ULF power
was positively correlated with solar wind speed, Kp, Ap, and PCN indexes. Te correlations among the
HRV variables were as expected and in agreement with other studies with the exception of HF power,
where correlations to IBI, Total power, and VLF power were all higher than seen in individual 24-hour
recordings. Tus, this study revealed that these HRV measures were correlated with solar and geomag
netic variables and daily autonomic nervous system activity responds to changes in geomagnetic and
solar activity during the period of normal undisturbed activity (Alabdulgader et al., 2018). An increase
in GCRs, solar radio fux, and SR power was all associated with increased HRV and parasympathetic
activity (Alabdulgader et al., 2018).
It is clear that a major driver of changes and disturbances in the GMF environment are the Sun and
solar wind (Crooker et al., 1977; McPherron, 2005). Consistent with these fndings, the solar wind speed
was highly correlated with Kp, Ap, and the PCN, all of which refect MF disturbances. It was also found
that ULF power, which is related to MF-line resonances, was positively correlated with solar wind speed,
and indices of feld disturbance were negatively correlated with GCR counts, which is consistent with
the well-known inverse action of solar and geomagnetic activity and GCR counts at the Earth’s surface
(Richardson et al., 1996).
Regarding HRV responses, IBIs have an inverted relationship to HR where larger IBIs equated to a
lower HR. HR and IBIs are an ideal indicator of changes in the relative balance between parasympa
thetic and sympathetic activity and how the autonomic system responds and adapts to various types of
stressors or challenges (McCraty and Shafer, 2015). If an environmental variable is negatively correlated
with IBIs, it indicates that HR increases with increases in that variable, which suggests a physiological
stress reaction occurred. On the other hand, a positive correlation with IBIs indicates a lower HR. Tere
were robust positive correlations between IBIs and SRs, and to a lesser degree with GCRs.
Te positive correlation found between HF power and solar radio fux indicates an enhancement of
parasympathetic nervous system activity during the period of increased solar radio fux. Tis was of
particular interest because a previous study with 1,643 participants in 51 countries found that the solar
radio fux index was positively correlated with reduced fatigue, improved positive afect, and mental
clarity while increases in solar wind speed had the opposite efects (McCraty et al., 2012). Te potential
benefcial efects of the solar radio fux were also observed in several studies that looked at death rates
from various causes which found a strong and inverse relationship between the F10.7 and death rates
(Stoupel et al., 2006, 2011). Te solar radio fux may be an important mediator of the anticipatory reac
tions observed by Tchijevsky (1971), which can occur several days before increases in the solar wind