Cardiovascular response as a marker of environmental stress caused by variations in geomagnetic field and local weather. (May 2019)

• Record Type: Journal Article
• Authors: Pishchalnikov, R.Y.; Gurfinkel, Y.I.; Sarimov, R.M.; Vasin, A.L.; Sasonko, M.L.; Matveeva, T.A.; Binhi, V.N.; Baranov, M.V.
• Is Part Of: Biomedical signal processing and control. Volume 51(2019)
• Page Start: 401
• Page End: 410
• Publication Date: 2019-05
• Subjects: Capillary blood velocity -- Arterial blood pressure -- Cardiointervals -- Geomagnetic storm -- Time–frequency representation -- Autocorrelation analysis -- Correlation analysis; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2019.03.005
• Languages: English
• ISSNs: 1746-8094

Abstract

Graphical abstract: Highlights: A Helmholtz-like magnetic field exposure system adapted for long-term experiments. Three modes of magnetic field exposure including geomagnetic storm have been used. Correlations of heart rate with magnetic field are criterion of cardiovascular response. Maximum cardiovascular response has been detected for the storm mode of exposure. Time-frequency representation of heart rate for each subject has individual character. Abstract: We report the results of a physiological study that include ECG analysis, capillary blood velocity (CBV) data, and blood pressure (BP) measurements obtained under conditions of modified external magnetic field (MF). Each of eight volunteers was sequentially exposed to MFs of three different types for 22 h. A Helmholtz-like MF exposure system was used. The system was specially designed for long-term exposures of human beings to static and low frequency MFs. The MF of the first type reproduced an initially recorded geomagnetic storm (GS). The MF inductions of the other two types were about 55 and 49 μT, which corresponded to the natural local magnetic background and a slightly decreased MF, respectively. In all three cases, the environmental magnetic fluctuations were suppressed by the active Helmholtz system. The variability of RR intervals was considered as a key indicator of cardiovascular response to the MFs and weather conditions. A time-frequency representation (TFR) and a frequency-frequency representation (FFR) were used for processing of the time series of RR intervals. It turned out that the transformation to TFR makes it possible to obtain the characteristic matrix of RR intervals; such a matrix can be used as a subject identifier. FFR was used to calculate correlations of RR intervals with the components of the MFs. The averaged correlation coefficients of RR intervals with the B x and B y components appeared significantly higher ( p < 0.001) during the Storm mode in comparison with control. Thus, it is shown that artificial geomagnetic storm can cause a detectable cardiovascular response.