Abstract
The article gives an overview of effects occurred with extremely low frequency electromagnetic fields(ELF-EMF) exposure in an informationalized perspective and concludes that reasonable suspicion of any health consequences does not exist based on current evidence of effects at ambient relevant levels, with which, limited exposures regulated by national safety standards and guidelines for habitable areas adjacent to all power lines may not reasonably be presumed to result in relevant adverse impacts and calls for additional multiple effects detecting means of informational techniques. And all special precautions and protective measures should be taken into action to reduce the exposure to electromagnetic fields in aspects of both intensity and frequency as low as reasonably attainable, no matter the effects of electromagnetic fields be as trivial as reasonably negligible. Traditional detecting means show that concrete evidence of electromagnetic fields pathophysiology such as chemical, morphological, and electrical alterations remains uncertain. Nevertheless, in the present information era, mankind is exposed to exceedingly multiple surrounding threats simultaneously, e.g., varied electromagnetic fields and air pollutants, and each combination or the stand-alone risk could potentially have beneficial or harmful effects, thus the definite evidence is far from been founded unless more detailed and large population based trials are to be done and multiple effects detecting means of informational techniques such as image recognition, speech recognition and motion recognition are to be further studied and deployed.
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This research was supported financially by the China Southern Power Grind (Grant No. GDKJXM20180673 and GDKJXM20185761).
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Liu, Y., Lin, Z., Li, L., Li, H., Shen, Y. (2020). Effects of Extremely Low Frequency Electromagnetic Fields Exposure in an Informationalized Perspective. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_140
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DOI: https://doi.org/10.1007/978-981-15-1468-5_140
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