A lot of interesting and novel results have been detected during this multiple observational study.
The first thing we observed in this study was that the strength of the resonant frequencies in local magnetic field, is continually changing (Fig.1). Tendencies of LMF weakening were observed between 2014 and 2016, when LMF was the weakest during the observational period. It was observed that an abrupt increase of LMF strength occurred from 2016 to 2017, and that since then the amplitude of the LMF resonances has continued to increase showing the highest ever observed values in 2019 (Fig. 1). Moreover, it is noticeable that LMF reaches its highest peaks in July-August and decreases to lowest value in winter months – December and January. Scientists have suggested that people are able to better tolerate LMF increases in the Spring season as compared to its decrease in the Autumn .
Schumann resonances in four countries are shown in Fig. 2. It is clearly seen that the peaks of resonances are the same all around the World and differ only in their intensities in the different frequency ranges. The most expressed LMF intensities are in SDelta range (0-3,5HZ), which usually is related with Earth terrene fluctuations and in SGamma range (32-65Hz), which is mostly related to country electricity networks frequency.
A huge part of our study was based on ischemic cardiac events, which had a significant positive correlation between ACS and increased LMF activity in the high frequency range (SGamma). These tendencies are the best illustrated by number of acute myocardial infarction cases per week in relation with LMF changes (Fig. 3). It was found that a higher LMF activity in the low frequency ranges is associated with lower number of admissions due to ACS, while a higher LMF activity in high frequency ranges is associated with increased risk for ACS occurrence. These tendencies remained the same during all seasons, with the only difference being in the level of expression and in the strength of correlation. It is interesting, that a greater LMF activity in the low frequency ranges was associated with higher rates of admission due to cardiac arrhythmias (Fig. 4).
In patients admitted due to AMI, several additional analyses were conducted. Interesting results were found in the analyses of blood test parameters’ and the associations with changes in LMF strength. It was observed that total blood count significantly correlates with LMF changes in low frequency range. Red blood cells count decreases with increased LMF strength in low frequency ranges, while white blood cells and platelet counts increases in the same frequency ranges (Fig.5). Completely different results were found in an analyses of serum Chlorine to Natrium ratio (Cl/Na). It replicated admission due to ACS results, showing moderate to strong negative correlations with the low frequency ranges and moderate positive correlations in the SGamma range (Fig. 6). This suggests that Cl/Na is strongly associated with occurrence of AMI. Similar results have been found in analysis of the blood osteocalcin levels (Fig. 7).
Osteocalcin is released from bones in presence of acute stress and starts to act in several minutes to modify overall body metabolism, preparing it to deal with stressful situations. In other words, osteocalcin may be considered as a stress hormone. It is not surprising that serum osteocalcin level is elevated in patients suffered from AMI. Nevertheless, this study has shown that in patients with AMI the highest serum osteocalcin levels were found 3 days after certain LMF strength changes occurred in the low frequency ranges. This part of our analyses has strongly confirmed the existence of a ‘delay effect’ lasting for 2-3 days. This means, that it takes about 2-3 days for the expression of these blood changes to occur after the change in the LMF strength.
Impressive results were found in sub-analysis where we focused only on days when more than 2 AMI cases were admitted, pretending that a smaller number of cases might only be coincidence and unrelated to changes in LMF activity. Strong significant correlations (r>0.8, p<0.05) were found between the number of cases admitted per day and the LMF strength changes 2- and 3- days before admission (Fig. 8).