Energy changes in brain under mobile phone radiation

Concern about the effect of electromagnetic radiation on human brain increases due to the drastic increase of mobile phone usage. EEG signal is selected to analyze the dynamic changes in brain since EEG reflects the functioning of brain. Due to its non linear characteristics, non linear methods namely wavelet transform is used for analysis. Wavelet Energy of each electrode, relative wavelet energy of all bands of EEG and average value of wavelet coefficients are used as features. The wavelet energy and wavelet coefficients represent the characteristics of the signals. The data set comprised of EEG of 35 healthy individuals at rest and with radiation from two types of mobile phones. In this paper, the features calculated for all 21 channels of the data set are analyzed statistically, using non linear Kruskal Wallis test. The test is significant for some of the electrodes for the dataset, it shows there are some changes in energy of some of the bands of EEG while using mobile phone.