2.45 GHz (CW) MICROWAVE IRRADIATION ALTERS CIRCADIAN ORGANIZATION, SPATIAL MEMORY, DNA STRUCTURE IN THE BRAIN CELLS AND BLOOD CELL COUNTS OF MALE MICE, MUS MUSCULUS

Chaturvedi, Chandra Mohini; Singh, V. B.; Singh, Priyanka; Basu, Priyoneel; Singaravel, Muniyandi; Shukla, Ritesh K.; Dhawan, Alok; Pati, Atanu Kumar; Gangwar, Ravi Kumar; Singh, and Surya

doi:10.2528/pierb11011205

Cited by 32 publications

(11 citation statements)

References 36 publications

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“…The works of Mcree [30] and Roberts et al [31] reported that several hematological parameters are sensitive to RF/MW exposure, not only in animals, but also in humans. A study conducted by [32] where mice were exposed to 2.45 GHz CW microwave frequency at 2 hrs/day for 30 days reported alteration in blood pictures among others.…”

Section: Mchc For Exposed and Sham Exposed Groupsmentioning

confidence: 99%

MICROWAVE EFFECT OF 0.9 GHz AND 1.8 GHz CW FREQUENCIES EXPOSED TO UNRESTRAINED SWISS ALBINO MICE

Usman

Ahmad

Kadir

et al. 2012

PIER B

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Abstract-Long term radio frequency electromagnetic field (RF EMF) exposures due to Global System for Mobile communication (GSM) frequencies were investigated in this study. 158 Swiss Albino mice in unrestrained conditions were used as surrogate and divided into four groups. The average peak field strength generated and measured inside the cages placed at a far field from the antennas is 0.6 × 10 −3 mW/cm 2 , and the specific absorption rate at 0.9 GHz and 1.8 GHz is 2.33 × 10 −3 W/kg and 1.97 × 10 −4 W/kg, respectively. Three samples of the mice chosen at random each from sham and exposed groups in week 4 and subsequently biweekly basis were taken for haematology and histopathology tests. The complete blood count result shows that haematological parameters of both the sham exposed and exposed mice were within the normal range of mice in the control group. A statistical analysis was conducted to determine whether differences observed between the experimental groups were significant. The histopathology examination on some internal organs shows that spleen and bone marrow of the mice were normal for all the three experimental groups, while a sign of tissue degeneration and inflammations were observed after 8 weeks of exposure on the brain,

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Section: Mchc For Exposed and Sham Exposed Groupsmentioning

confidence: 99%

MICROWAVE EFFECT OF 0.9 GHz AND 1.8 GHz CW FREQUENCIES EXPOSED TO UNRESTRAINED SWISS ALBINO MICE

Usman

Ahmad

Kadir

et al. 2012

PIER B

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show abstract

“…range of SAR is 2.0W/Kg [19]. Now-a-days the most popular 3G network system works under the frequency range of 2100 MHz [20]. Mobile phones radiate an average of power of 0.2-0.6 Watt/ Kg, 40% of which is absorbed in the head and neck region [11].…”

Section: Scoring Of Micronucleimentioning

confidence: 99%

Analysis of the Genotoxic Effects of Mobile Phone Radiation using Buccal Micronucleus Assay: A Comparative Evaluation

Banerjee

Singh

Sreedhar

et al. 2016

JCDR

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“…The diagnostic values of MRI are greatly magnified by the automated and accurate classification of the MRI images [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

An MR Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine

Zhang¹,

Wu²

2012

PIER

251

147

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Abstract-Automated and accurate classification of MR brain images is extremely important for medical analysis and interpretation. Over the last decade numerous methods have already been proposed. In this paper, we presented a novel method to classify a given MR brain image as normal or abnormal. The proposed method first employed wavelet transform to extract features from images, followed by applying principle component analysis (PCA) to reduce the dimensions of features. The reduced features were submitted to a kernel support vector machine (KSVM). The strategy of Kfold stratified cross validation was used to enhance generalization of KSVM. We chose seven common brain diseases (glioma, meningioma, Alzheimer's disease, Alzheimer's disease plus visual agnosia, Pick's disease, sarcoma, and Huntington's disease) as abnormal brains, and collected 160 MR brain images (20 normal and 140 abnormal) from Harvard Medical School website. We performed our proposed methods with four different kernels, and found that the GRB kernel achieves the highest classification accuracy as 99.38%. The LIN, HPOL, and IPOL kernel achieves 95%, 96.88%, and 98.12%, respectively. We also compared our method to those from literatures in the last decade, and the results showed our DWT+PCA+KSVM with GRB kernel still achieved the best accurate classification results. The averaged processing time for a 256 × 256 size image on a laptop of P4 IBM with 3 GHz processor and 2 GB RAM is 0.0448 s. From the experimental data, our method was effective and rapid. It could be applied to the field of MR brain image classification and can assist the doctors to diagnose where a patient is normal or abnormal to certain degrees.

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2.45 GHz (CW) MICROWAVE IRRADIATION ALTERS CIRCADIAN ORGANIZATION, SPATIAL MEMORY, DNA STRUCTURE IN THE BRAIN CELLS AND BLOOD CELL COUNTS OF MALE MICE, MUS MUSCULUS

Cited by 32 publications

References 36 publications

MICROWAVE EFFECT OF 0.9 GHz AND 1.8 GHz CW FREQUENCIES EXPOSED TO UNRESTRAINED SWISS ALBINO MICE

MICROWAVE EFFECT OF 0.9 GHz AND 1.8 GHz CW FREQUENCIES EXPOSED TO UNRESTRAINED SWISS ALBINO MICE

Analysis of the Genotoxic Effects of Mobile Phone Radiation using Buccal Micronucleus Assay: A Comparative Evaluation

An MR Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine

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