Statistical Analysis of Electromagnetic Radiation for Stroke Patients and Non-Stroke Participants

Authors

  • R.S.S. A.Kadir Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • Zunairah Hj Murat Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • M.N. Taib Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • Siti Zura A. Jalil Razak School of Engineering & Advanced Technology, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia.

Keywords:

Electromagnetic Radiation (EMR), Stroke, Chakra, Frequency detector,

Abstract

This paper calculates the statistical analysis of electromagnetic radiation (EMR) for the stroke patients and non-stroke participants. The EMR is collected from 199 subjects undergoing post-stroke treatment and 100 non-stroke participants at 17 points around their body, namely left side, right side and chakra points. The body frequency (in MHz) is captured using frequency detector by taking the reading of the frequency 5 times at each point at the same location; hence, the average value is calculated. Data analyses were evaluated using exploratory and descriptive statistics. In conclusion, the statistical results presented in this study indicate that the data have certain pattern and behaviour. By observing the Kolmogorov-Smirnov’s p-values, skewness and kurtosis, it shows that all variables were well-modelled by a normal distribution. Using Welch ANOVA, the finding shows that there are significant differences between the stroke and non-stroke in relation to frequency reading at most of the measurement points as their p-values were < 0.05.

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Published

2017-03-15

How to Cite

A.Kadir, R., Hj Murat, Z., Taib, M., & A. Jalil, S. Z. (2017). Statistical Analysis of Electromagnetic Radiation for Stroke Patients and Non-Stroke Participants. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-4), 55–59. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1780