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7/28/2019 Roman Letters
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Abstract
Diabetes is one disease that doesnt need any introduction to modern day people.
Moreover, effect of microwave radiation on our body is one area that much of the modern
day research is focused on. This study focuses on the effects that this two problems have
on the brain, an area of huge interest for neuroscientists. Our study uses rats as the animal
model for this experiment. The work has been carried out on four groups of rats i) control
group which acts as a reference ii) diabetic rats iii) microwave irradiated rats iii) diabetic
rats exposed to microwave radiation. The rats were made diabetic by injecting a chemical
Streptozotocin i.p. The microwave radiation of 2.45 GHz was given to the rats with the
help of a Microwave Analog Signal Generator. The effects produced on rat brain was
analyzed by recording the brain electrical potential called Electroencephalography (EEG)with the help of R.M.S provided Polyrite machine. The signal processing toolbox of
Matlab is used profoundly for processing the signal and performing spectral analysis of it
mention results. The results have showed increase in slow waves activity especially Delta
waves of EEG in all the groups with maximum effect on diabetic rats exposed to
microwave radiation.
Keywords: Microwave radiation, Diabetes, EEG, spectral analysis.
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List of figures
Fig 1.1: Healthy EEG waveform 3
Fig 1.2: EEG Power spectrum of a healthy patient 4
Fig 2.1: (a) Overall process of Type 2 Diabetes 9
(b) Insulin Resistance created in Type 2 Diabetes 9
Fig 2.2: Harmful effects of Diabetes 11
Fig 3.1: Rats in their animal holder 36
Fig 3.2: Experimental Setup for microwave exposure 37
Fig 3.3: Electrodes implanted at different positions of rat brain 38
Fig 3.4: Total EEG Setup 38
Fig 4.1: Power Spectral Density of frontoparietal channel by Welch Method 44
Fig 4.2: Power Spectral Density of frontoparietal channel by AR Method 45
Fig 4.3: Power Spectral Density of occipital channel by Welch Method 46
Fig 4.4: Power Spectral Density of occipital channel by AR Method 47
Fig 4.5: Power Spectral Density of Temporal channel by Welch Method 48
Fig 4.6: Power Spectral Density of temporal channel by AR Method 49
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Fig 4.7: Mean power of frequency bands in frontoparietal channel by Welch method 50
Fig 4.8: Mean power of frequency bands in frontoparietal channel by AR method 50
Fig 4.9: Mean power of frequency bands in occipital channel by Welch method 51
Fig 4.10: Mean power of frequency bands in occipital channel by AR method 51
Fig 4.11: Mean power of frequency bands in temporal channel by Welch method 52
Fig 4.12: Mean power of frequency bands in temporal channel by AR method 52
Fig 4.13: Mean power of different channels by Welch method 53
Fig 4.13: Mean power of different channels by AR method 53
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List of Tables
Table 2.1: Different Microwave Bands 15
Table 2.2: EEG frequency bands 24
Table 3.1: Flowchart of EEG signal processing 39
Table 4.1: Blood Glucose level measures on Day 0 and Day 3 42
Table 4.2: Body weights of Rat 1 and Rat 2 43
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List of Abbreviations
CNS Central Nervous System
PNS Peripheral Nervous System
EEG Electroencephalography
GHz Gega Hertz
KHz Kilo Hertz
PSD Power Spectral Density
AR Auto Regressive
A/m Ampere per meter
V/m Volt per meter
IEEE Institute of Electrical and Electronics
Engineers
RF Radiofrequency
ISM Industrial Scientific and Medical
applications
SAR Specific Absorption rate
DNA Deoxyribonucleic Acid
PW Pulsed Wave
CW Continuous Wave
mW milliwatt
W microwatt
J/g Joule per gram
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C.S.F Cerebro Spinal Fluid
cl Chlorine
K Potassium
ECG Electroencephalography
PPP Post Synaptic Potential
FFT Fast Fourier Transform
gm Gram
i.p. Intraperitoneal
STZ Streptozotocin
dB Decibel
dBm Decibel to 1 milliwatt
mm/min Millimeter per minute
Fs Sampling frequency
mg/dl Milligram per deciliter
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