Cognitive impairments in human brain due to wireless signals and systems: an experimental study using EEG signal analysis

Aisha Al-Qahtani, Adnan Nasir, Muhammad Zeeshan Shakir, Khalid A. Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


Ubiquitous availability of wireless and electronic devices has raised some health alarms among the masses. There exist possible malign effects of electromagnetic radiations on the human body, and especially on the brain due to existence of radio frequency (RF) signals close to the human head. The increased usage of contemporary wireless technologies around us has raised major concerns about their harmful impact on human brain's communication signals (neural oscillations). Thorough investigations are required to answer whether or not these wireless devises and RF signals interfere with human brain's signals and are directly responsible for physiological and behavioral aspects. This answer is mutually valuable for health care providers and technology experts. This paper investigates the effects of RF radiations emitted by electronic devices on the cognition ability of the brain and its behavioral impingement. In this context, this study utilized the Emotiv EEG signal recording tool to study the behavior of the brain's EEG signals both under normal conditions and under the influence of RF signals. The findings are interesting and the experiments have indicated some possible effects and abnormalities due to the RF radiations on the normal conditions and cognition of the brain's signal. Further investigations is anticipated to open a plethora of useful applications and investigations.
Original languageEnglish
Title of host publication2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013)
Number of pages3
ISBN (Electronic)9781467358019
ISBN (Print)9781467357999
Publication statusPublished - 1 Oct 2013
Externally publishedYes


  • RF radiations and cognitive impairments
  • EEG signal analysis
  • behavioral analysis


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