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Time-Frequency Analysis from Earthing Application

  • Jun Hou Ting
  • Mahfuzah MustafaEmail author
  • Zarith Liyana Zahari
  • Dwi Pebrianti
  • Zainah Md Zain
  • Nurul Hazlina Noordin
  • Rafiuddin Abdubrani
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 538)

Abstract

Body earthing or grounding means that connecting the body in direct and uninterrupted contact with the earth by touching the soil, sand, water, or a conductive surface that is in contact with the earth. By earthing the body, positive charge can be neutralized and return the body to a neutral state as the positive charge that builds up can lead to health problems. There are few types of time-frequency analysis method such as Gabor, Wavelet and Wigner. The experiment of body earthing is done by recording the EEG signal from human brainwave with the Emotive EPOC Headset. To remove the noise of the signals, in pre-processing stage is important to separate the signal into two band frequency band which are alpha band and beta band with the threshold of signal amplitude was set to −100 to 100 μV. Then the peak points were plotted into a histogram to compare the changes of the Alpha and Beta band signals. Lastly, the results of before body earthed and after body earthed were compared through the histogram plotted. The result shows that, before the body earthed, the Alpha band signals are low, while the Beta band signals are high. Then after body earthed, the Alpha band increased, while the Beta band are decreased. From the result show that the body earthing reduced the stress of the student.

Keywords

EEG signal Time frequency Gabor transform Wavelet transform Wigner transform 

Notes

Acknowledgements

This research was supported by a Grant at the Universiti Malaysia Pahang (RDU170365).

References

  1. 1.
    Chevalier, G., Sinatra, S., Oschman, J., Sokal, K., Sokal, P.: Earthing: health implications of reconnecting the human body to the earth’s surface electrons. J. Environ. Public Health 2012, 1–8 (2012)CrossRefGoogle Scholar
  2. 2.
    Cohen, L.: Time-frequency distributions—a review. In: Proceedings of the IEEE, pp. 941–981. IEEE (1989)Google Scholar
  3. 3.
    Ghaly, M., Teplitz, D.: The biologic effects of grounding the human body during sleep as measured by cortisol levels and subjective reporting of sleep, pain, and stress. J. Altern. Complement. Med. 10(5), 767–776 (2004)CrossRefGoogle Scholar
  4. 4.
    Alazrai, R., Alwanni, H., Baslan, Y., Alnuman, N., Daoud, M.I.: EEG-based brain-computer interface for decoding motor imagery tasks within the same hand using Choi-Williams time-frequency distribution. Sensors 17(9), 1–27 (2017)CrossRefGoogle Scholar
  5. 5.
    Teplan, M.: Fundamentals of EEG measurement. Meas. Sci. Rev. 2(2), 1–11 (2002)Google Scholar
  6. 6.
    Sejdić, E., Djurović, I., Jiang, J.: Time–frequency feature representation using energy concentration: an overview of recent advances. Digit. Signal Proc. 19(1), 153–183 (2009)CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Oschman, J.L., Chevalier, G., Brown, R.: The effects of grounding (earthing) on inflammation, the immune response, wound healing, and prevention and treatment of chronic inflammatory and autoimmune diseases. J. Inflammation Res. 8, 83–96 (2015)CrossRefGoogle Scholar
  9. 9.
    Su, L., Wu, H.S., Tzuang, C.C.: 2-D FFT and time-frequency analysis techniques for multi-target recognition of FMCW radar signal. In: Proceedings of the Asia-Pacific Microwave Conference, pp. 1390–1393. IEEE, USA (2011)Google Scholar
  10. 10.
    Sifuzzaman, M., Islam, M.R., Ali, M.Z.: Application of wavelet transform and its advantages compared to fourier transform. J. Phys. Sci. 13, 121–134 (2009)Google Scholar
  11. 11.
    Chang, C.R.: EEG based pattern recognition method for classification of four mental tasking. In: International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical, and Information technology, pp. 0–5. Indonesia (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jun Hou Ting
    • 1
  • Mahfuzah Mustafa
    • 1
    Email author
  • Zarith Liyana Zahari
    • 1
    • 2
  • Dwi Pebrianti
    • 1
  • Zainah Md Zain
    • 1
  • Nurul Hazlina Noordin
    • 1
  • Rafiuddin Abdubrani
    • 1
  1. 1.Universiti Malaysia PahangPekanMalaysia
  2. 2.Universiti Kuala Lumpur British Malaysian InstituteGombakMalaysia

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