Predictive model of biological equivalent radiofrequency electromagnetic field exposure assessment

Author(s):  
Nina B. Rubtsova ◽  
Sergey Yu. Perov ◽  
Olga V. Belaya

Introduction. The issues of radiofrequency electromagnetic field in near field human body exposure correct assessment and control methods improvement actualization determined the need to develop a predictive model that provides different exposure conditions in terms of their biological equivalence comparison.Materials and methods. The problem of laboratory rats and humans equivalent EMF exposure assessment in near and far fields was considered. It is proposed to use a set of criteria that include both the power absorption in the irradiated objects values and the exposure time, allowing to take into account the peculiarities of human body and animals species sensitivity to this factor to solve this problem.Results. Relations for RF EMF equivalent levels values calculation for concrete biological object in near and far fields are presented. There are presented the ratio to calculate EMF levels in terms of power density and energy exposure to case of human body exposure that is equivalent to experimental conditions of rats exposure.Discussion. The developed model can be used to compare the experimental conditions of exposure in the near field with PD values for far field (formed electromagnetic wave), which is most important for >300 MHz frequencies, as well as for the interpretation of EMF biological effects obtained in animal experiments to human exposure conditions assess. This provides a biologically based approach to control RF EMF intensity at any distance from the source and the comparison of the field strength levels with the PD values in the zone of the formed electromagnetic wave.Conclusion. The proposed model takes into account the physical patterns of energy absorption in different objects and differences of organisms species sensitivity to factor exposure; provides the ability to predict critical levels of irradiation for different human body organs and systems, taking into account the time of the factor exposure too.

2019 ◽  
Vol 8 (2) ◽  
pp. 5495-9498

Potential Risk From Exposure to EMF have been explored for a long time .Different research endeavours have tended to security rules to Protect the Human body from EM penetration. The study of Electromagnetic fields and nonionizing effects on human body is a very useful due to possible health effects that these many electromagnetic field can cause in humans. At the point when an Electric or Magnetic field Penetrates into body ,it is weakened and some portion of is assimilated inside the body tissue. Impact of EM on Human body relies upon force of Electromagnetic field and distance of EM source to human body.Specific Absorption Rate (SAR) is a parameter used to estimate amount of energy absorbed by a human body.SAR Is depends on Frequency and Intensity of Electromagnetic wave. Broad Research is already done on Reduction of SAR in the case over usage of Mobile phones units but SAR minimization in Medical Application like MRI is always a challenge to Researchers. The advantages of Magnetic Resonance imaging (MRI) have made it the Radiological Method of Choice for an extraordinary Number of analytic Procedures,but the drawback is options are limited in the case of patients who are having implantable devices,The SAR Value is increased due to implantable devices because of temperature Rise. Leakage Magnetic field from the diagnosis instruments leads to hazardous to medical Personnel. this Paper is a initiated work on Study of SAR considering the intensity of electromagnetic wave and assessment of SAR in case of leakage of Magnetic field leakage.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1431
Author(s):  
Ilkyu Kim ◽  
Sun-Gyu Lee ◽  
Yong-Hyun Nam ◽  
Jeong-Hae Lee

The development of biomedical devices benefits patients by offering real-time healthcare. In particular, pacemakers have gained a great deal of attention because they offer opportunities for monitoring the patient’s vitals and biological statics in real time. One of the important factors in realizing real-time body-centric sensing is to establish a robust wireless communication link among the medical devices. In this paper, radio transmission and the optimal characteristics for impedance matching the medical telemetry of an implant are investigated. For radio transmission, an integral coupling formula based on 3D vector far-field patterns was firstly applied to compute the antenna coupling between two antennas placed inside and outside of the body. The formula provides the capability for computing the antenna coupling in the near-field and far-field region. In order to include the effects of human implantation, the far-field pattern was characterized taking into account a sphere enclosing an antenna made of human tissue. Furthermore, the characteristics of impedance matching inside the human body were studied by means of inherent wave impedances of electrical and magnetic dipoles. Here, we demonstrate that the implantation of a magnetic dipole is advantageous because it provides similar impedance characteristics to those of the human body.


Author(s):  
Junbai Pan ◽  
Yangong Zheng ◽  
Jinkai Jin ◽  
Xiang Cai ◽  
Chencheng Wang

In view of the shortcomings of the current wearable human body sensor, such as poor comfort and low sensing accuracy, the application of semiconductor nano materials in the reconstruction of wearable human body sensor is studied. The best zinc concentration of 10 mm and the best reaction temperature of 75∘C were selected as experimental conditions to prepare the modified silk. The two ends of the silk sensor were connected by silver glue and wire respectively to form a single silk sensor. The sensor is placed in the wearable clothing of the wearable human body sensor, which uses the sensor to sense the physiological signal of human body and sends it to the control center. The central processing unit of the control center uses the data eigenvalue fusion decision-making method of BP neural network to process the physiological data of human body and then transmits it to the display terminal to realize the physiological data induction of human body. The experimental results show that the human body sensor can effectively sense human heart rate, blood oxygen signal, blood pressure and other physiological signals, and the sensing accuracy is above 97%.


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