Investigation of Human Electromagnetic Radiation Characteristic For Kidney Disease Patients

  • Authors

    • Siti Zura A. Jalil
    • Aimi Nazerah Shamsuddin
    • Siti Armiza Mohd Aris
    • Nurul Aini Bani
    • Hazilah Mad Kaidi
    • Mohd Nabil Muhtazaruddin
    • Sahnius Usman
    • Mohd Azri Mohd Izhar
    • Rihana Yusuf
    • Ros Syilawani S. Abdul Kadir
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.11.20685
  • Human electromagnetic radiation, frequency, kidney disease, t-test.

  • Abstract

    The human body is shown to have their own radiation that emits at certain frequencies into the space surround the body. The purpose of this paper is to investigate the characteristic of human electromagnetic radiation among kidney disease patients and non-kidney disease participants. The body radiation frequencies are measured using body radiation wave detector at twenty-two points of the human body. The properties of human electromagnetic radiation are evaluated using statistical analysis of dependent t-test of Wilcoxon Signed Rank test and independent t-test of Mann-Whitney U test. Significant results with the Sig. value below 0.05 are shown in lower body, torso, chakra, arm and upper body, thus indicates the characteristic differences of human electromagnetic radiation frequency between kidney disease patients and non-kidney disease participants.

     

     

  • References

    1. [1] M. Sherwood and P. A. McCullough, "Chronic kidney disease from screening, detection, and awareness, to prevention," The Lancet Global Health, 4, 288-289, 2016.

      [2] J. A. Vassalotti, R. Centor, B. J. Turner, R. C. Greer, M. Choi, and T. D. Sequist, "Practical approach to detection and management of chronic kidney disease for the primary care clinician," The American Journal of Medicine, 129, 153-162, 2016.

      [3] D. B. Geselowitz and M. N. Geselowitz, "The bioelectrical century: Bioelectrical engineering and the "inside story" of the electrical century," Proceedings of the IEEE, 87, 1842-1846, 1999.

      [4] N. Czegledy, "Bioelectromagnetism: Discrete interpretations," Technoetic Arts: A Journal of Speculative Research, 1, 135-141, 2003.

      [5] C. Zhang, "Electromagnetic body versus chemical body," Network, 81, 7-10, 2003.

      [6] H. C. Lee, P. W. Khong, and D. N. Ghista, "Bioenergy based medical diagnostic application based on gas discharge visualization," Proceedings of the 27th Annual Conf. Eng. Medicine and Biology, 2005, pp. 1533-1536.

      [7] K. G. Korotkov, "Analysis and monitoring of the human energy state with gas discharge visualization technique," Proceedings of the 18th IEEE Symp. Computer-Based Medical Systems, 2005, pp. 431-436.

      [8] S. Z. A. Jalil, H. Abdullah, and M. N. Taib, "Human body radiation wave analysis on the human torso," Proceedings of the International Conference on BioSignal Analysis, Processing and Systems, 2015, pp. 22-27.

      [9] S. Z. A. Jalil, M. N. Taib, H. A. Idris, and M. M. Yunus, "Classification of human radiation wave on the Upper body segment," Proceedings of the IEEE 3rd International Conference on System Engineering and Technology, 2013, pp. 73-77.

      [10] R. S. S. A. Kadir, Z. H. Murat, M. N. Taib, and S. Z. A. Jalil, "Investigation of electromagnetics radiation for stroke patients and non-stroke participants," Proceedings of the IEEE 6th Control and System Graduate Research Colloquium, 2015, pp. 130-134.

      [11] S. Z. A. Jalil, H. Abdullah, and M. N. Taib, "Detection of endogenous electromagnetic field of the human body," ARPN Journal of Engineering and Applied Sciences, 10, 9650-9658, 2015.

      [12] V. Shalatonin, "A study of the endogenous electromagnetic field into the space around the flower plants," Proceedings of the Joint 32nd Int. Conf. Infrared and Millimeter Waves and 15th Int. Conf. Terahertz Electronics, 2007, pp. 293-294.

      [13] G. Q. Zhu and P. H. Yang, "Identifying the candidate genes for Alzheimer's disease based on the rejection region of T test," Proceedings of the International Conference on Machine Learning and Cybernetics, 2016, pp. 732-736.

      [14] A. Y. Mahmoudi and A. O. Nejad, "Evaluating the level of awareness of teachers and educational head of principles and methods of content analysis of second-grade high school textbooks," Journal of Fundamental and Applied Sciences, 8(3S), 2172-2180, 2016.

      [15] D.-C. Li, S. C. Hu, L.-S. Lin, and C.-W. Yeh, "Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets," Plos One, 12, 1-24, 2017.

      [16] T. Varga and H. Bunke, "Generation of synthetic training data for an HMM-based handwriting recognition system," in Proc. Seventh Int. Conf. Document Analysis and Recognition, 2003, pp. 618-622.

      [17] M. Barnard, M. Matilainen, and J. Heikkila, "Body part segmentation of noisy human silhouette images," Proceedings of the IEEE Int. Conf. Multimedia and Expo, 2008, pp. 1189-1192.

      [18] Z. H. Bajwa, K. A. Sial, A. B. Malik, and T. I. Steinman, "Pain patterns in patients with polycystic kidney disease," Kidney International, 66, 1561-1569, 2004.

      [19] R. T. Gansevoort, R. Correa-Rotter, B. R. Hemmelgarn, T. H. Jafar, H. J. L. Heerspink, J. F. Mann, et al., "Chronic kidney disease and cardiovascular risk: Epidemiology, mechanisms, and prevention," The Lancet, 382, 339-352, 2013.

  • Downloads

  • How to Cite

    Zura A. Jalil, S., Nazerah Shamsuddin, A., Armiza Mohd Aris, S., Aini Bani, N., Mad Kaidi, H., Nabil Muhtazaruddin, M., Usman, S., Azri Mohd Izhar, M., Yusuf, R., & Syilawani S. Abdul Kadir, R. (2018). Investigation of Human Electromagnetic Radiation Characteristic For Kidney Disease Patients. International Journal of Engineering & Technology, 7(4.11), 40-43. https://doi.org/10.14419/ijet.v7i4.11.20685

    Received date: 2018-10-01

    Accepted date: 2018-10-01

    Published date: 2018-10-02