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Calculation of specific absorption rate (SAR) in human brain neurons using complex permittivity
Alireza Kokabi1, Mohammadhasan Davoodi1
1Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran.
Journal of Medical Engineering & Technology
|November 30, 2019
Summary
This study quantifies electromagnetic power absorption in human brain neurons using the Hodgkin-Huxley model. It analyzes how external radiation affects neuron membranes and calculates the overall electromagnetic absorption rate in the human head.
Area of Science:
- Neuroscience
- Biophysics
- Electromagnetics
Background:
- External electromagnetic radiation exposure is a growing concern.
- Understanding its effects on the human brain is crucial for safety and health.
- Existing models require refinement to accurately assess energy absorption in neural tissues.
Purpose of the Study:
- To develop a numerical method for calculating frequency-dependent complex permittivity.
- To propose an analytical method for estimating electromagnetic power absorption in brain neurons.
- To investigate the influence of electromagnetic waves on neuron membrane properties.
Main Methods:
- Utilized the Hodgkin-Huxley neuron model for simulations.
- Calculated frequency-dependent complex permittivity of neuron membranes.
- Employed modified time-dependent Hodgkin-Huxley equations to determine wave reflectivity and transmissivity.
- Modeled the human head to account for forward and backward traveling electromagnetic waves.
Main Results:
- Presented a novel analytical method for electromagnetic power absorption calculation.
- Quantified the frequency-dependent complex permittivity.
- Determined the reflectivity and transmissivity of electromagnetic stimuli at the cell membrane.
- Calculated the electromagnetic absorption rate within the human head.
Conclusions:
- The proposed method provides a robust framework for assessing electromagnetic energy deposition in the brain.
- Results offer insights into the interaction of electromagnetic fields with neural structures.
- This research contributes to a better understanding of the biological effects of electromagnetic radiation.

