Abstract
The effect of local atmosphere status and space weather on the healthy volunteers and the patients suffering arterial hypertension (AH) is studied. The research group included 12 healthy volunteers and 15 patients suffering AH of 1-2 degree. In the period of 24-h electrocardiogram monitoring (ECG), all the patients suffering AH continued to take effective antihypertensive therapy individually prescribed. All the patients and volunteers had normal sinus rhythm without disorders in cardiac conduction pathways. The ECG monitoring covered the period from November 23, 2016 till March 29, 2017. During this period, 4 moderate and 11 minor magnetic storms occurred. The horizontal component of the magnetic field recorded ranged from 140 to 270nT. We used multi-classifier algorithm based on the decision tree with parallel branching, which specially developed by the authors. Apart from the horizontal component of magnetic field, 6 basic characteristics of the local weather data were used as the predictors of the algorithm. The output of this algorithm is elementary statement of cause-consequence connection (insight). In the periods of weak frost and intense precipitations (snow or rain with snow), the combination of rather high horizontal component of the magnetic field with elevated atmospheric pressure and humidity resulted in abnormal RR, PR, and QT intervals of ECG.
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