Electromagnetic and Thermal Simulations of Human Neurons for SAR Applications.
The impact of the electromagnetic waves (EM) on human neurons (HN) has been under investigation for decades, in efforts to understand the impact of cell phones (radiation) on human health, or radiation absorption by HN for medical diagnosis and treatment. Research issues including the wave frequency, power intensity, reflections and scattering, and penetration depths are of important considerations to be incorporated into the research study. In this study, computer simulation for the EM exposure to HN was studied for the purpose of determining the upper limits of the electric and magnetic field intensities, power consumption, reflections and transmissions, and the change in temperature resulting from the power absorption by human neurons. Both high frequency structural simulators (HFSS) from ANSYS software, and COMSOL multi-physics were used for the simulation of the EM transmissions and reflections, and the temperature profile within the cells, respectively. For the temperature profile estimation, the study considers an electrical source of 0.5 watt input power, 64 MHz. The EM simulation was looking into the uniformity of the fields within the sample cells. The size of the waveguide was set to be appropriate for a small animal model to be conducted in the future. The incident power was fully transmitted throughout the waveguide, and less than 1% reflections were observed from the simulation. The minimum reflected power near the sample under investigation was found to be with negligible reflected field strengths. The temperature profile resulting from the COMSOL simulation was found to be near 0.25 m°K, indicating no change in temperature on the neuro cells under the EM exposure. The paper details the simulation results for the EM response determined by HFSS, and temperature profile simulated by COMSOL.
Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Felipe
F
Perez
Department of Electrical and Computer Engineering (ECE), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
Gilbert
G
Millholland
Department of Electrical and Computer Engineering (ECE), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
Seshasai Vamsi Krishna
SV
Peddinti
Department of Electrical and Computer Engineering (ECE), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
Ashok Kumar
AK
Thella
Indiana University School of Medicine, Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
James
J
Rizkalla
Department of Electrical and Computer Engineering (ECE), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
Paul
P
Salama
Department of Electrical and Computer Engineering (ECE), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
Maher
M
Rizkalla
Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
Jorge
J
Morisaki
Department of Electrical and Computer Engineering (ECE), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA; Integrated Nanosystems Development Institute (INDI), Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
Maher E
ME
Rizkalla
COMSOL; EM (Electromagnetic); HFSS; HN (Human Neuron); SAR (Specific Absorption Rate)