Browsing by Author "Cosic, I"
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- ItemComparison of the effects of continuous and pulsed mobile phone like RF exposure on the human EEG.(2008-02-15) Perentos, N; Croft, R J; McKenzie, R J; Cvetkovic, D; Cosic, IIt is not clear yet whether Global System for Mobiles GSM mobile phone radiation has the ability to interfere with normal resting brain function There have been reports that GSM exposure increases alpha band power and does so only when the signal is modulated at low frequencies Huber R Treyer V Borbely A A Schuderer J Gottselig J M Landolt H P Werth E Berthold T Kuster N Buck A and Achermann P Electromagnetic fields such as those from mobile phones alter regional cerebral blood flow and sleep and waking EEG J Sleep Res 11 289 295 2002 However as that research employed exposure distributions that are not typical of normal GSM handset usage deep brain areas were overexposed it remains to be determined whether a similar result patterning would arise from a more representative exposure In this fully counterbalanced cross over design we recruited 12 participants and tried to replicate the modulation linked post exposure alpha band power increase described above but with an exposure source dipole antenna more closely resembling that of a real GSM handset Exposures lasted for 15 minutes No changes to alpha power were found for either modulated or unmodulated radiofrequency fields and thus we failed to replicate the above results Possible reasons for this failure to replicate are discussed with the main reason argued to be the lower and more representative exposure distribution employed in the present study In addition we investigated the possible GSM exposure related effects on the non linear features of the resting electroencephalogram using the Approximate Entropy ApEn method of analysis Again no effect was demonstrated for either modulated or unmodulated radiofrequency exposures
- ItemECG R-R peak detection on mobile phones.(2007-11-16) Sufi, F; Fang, Q; Cosic, IMobile phones have become an integral part of modern life Due to the ever increasing processing power mobile phones are rapidly expanding its arena from a sole device of telecommunication to organizer calculator gaming device web browser music player audio video recording device navigator etc The processing power of modern mobile phones has been utilized by many innovative purposes In this paper we are proposing the utilization of mobile phones for monitoring and analysis of biosignal The computation performed inside the mobile phone s processor will now be exploited for healthcare delivery We performed literature review on RR interval detection from ECG and selected few PC based algorithms Then three of those existing RR interval detection algorithms were programmed on Java platform Performance monitoring and comparison studies were carried out on three different mobile devices to determine their application on a realtime telemonitoring scenario
- ItemHuman brain wave activity during exposure to radiofrequency field emissions from mobile phones.(2004-03-03) D'Costa, H; Trueman, G; Tang, L; Abdel-rahman, U; Abdel-rahman, W; Ong, K; Cosic, IThe aim of this study was to determine whether there is an effect of mobile phone electromagnetic field emissions on the human electroencephalograph EEG EEG recordings from ten awake subjects were taken during exposure to radiofrequency RF emissions from a mobile phone positioned behind the head Two experimental trials were conducted In the first trial RF exposures were generated by a GSM mobile phone with the speaker disabled and configured to transmit at full radiated power During the second trial exposures were generated by a non modified GSM mobile phone in active standby mode For each trial subjects were exposed in five minute intervals to a randomized interrupted sequence of five active and five sham exposures The experiment was conducted under single blind conditions The average EEG band power in active exposure recordings was compared to corresponding sham recordings Statistical tests indicated significant difference in the full power mode trial within the EEG alpha 8 13 Hz and beta 13 32 Hz bands A subsequent statistical analysis of median spectral power in discrete EEG rhythms revealed significant differences in 7 of the 32 distinct frequencies overall In conclusion the results of this study lend support to EEG effects from mobile phones activated in talk mode