Cardiovascular response as a marker of environmental stress caused by variations in geomagnetic field and local weather

被引:15
|
作者
Pishchalnikov, R. Y. [1 ]
Gurfinkel, Y. I. [2 ,3 ]
Sarimov, R. M. [1 ]
Vasin, A. L. [4 ,6 ]
Sasonko, M. L. [5 ,6 ]
Matveeva, T. A. [1 ]
Binhi, V. N. [1 ]
Baranov, M. V. [5 ]
机构
[1] Russian Acad Sci, Prokhorov Gen Phys Inst, Moscow, Russia
[2] Moscow MV Lomonosov State Univ, Med Res & Educ Ctr, Moscow, Russia
[3] Russian Acad Sci, Space Res Inst, Moscow, Russia
[4] Russian Acad Sci, Inst Biomed Problems, Moscow, Russia
[5] Fed Biomed Agcy Russia, Res Inst Space Med, Moscow, Russia
[6] Res Clin Ctr JSC Russian Railways, Moscow, Russia
关键词
Capillary blood velocity; Arterial blood pressure; Cardiointervals; Geomagnetic storm; Time-frequency representation; Autocorrelation analysis; Correlation analysis; HEART-RATE-VARIABILITY; MYOCARDIAL-INFARCTION; DYNAMICAL MODEL; BLOOD-PRESSURE; SOLAR; SPACE; DISTURBANCES; SYSTEM; ASSOCIATION; FREQUENCY;
D O I
10.1016/j.bspc.2019.03.005
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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 mu T, 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. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:401 / 410
页数:10
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