Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
This research evaluates the electromagnetic radiation (EMR) for the stroke patients and non-stroke patients according to body segmentation. The human body is divided into three segments: top, middle and bottom. The frequency in hertz is collected at 23 points around the human body namely left side,...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74277/1/ZunairahMurat2016_EvaluationofElectromagneticsRadiation.pdf http://eprints.utm.my/id/eprint/74277/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973293337&doi=10.11113%2fjt.v78.8927&partnerID=40&md5=bc04c06b9296e0cca92fae3f083395fc |
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Summary: | This research evaluates the electromagnetic radiation (EMR) for the stroke patients and non-stroke patients according to body segmentation. The human body is divided into three segments: top, middle and bottom. The frequency in hertz is collected at 23 points around the human body namely left side, right side and chakra points from 199 subjects undergoing post-stroke treatment and 100 non-stroke participants. The EMR is captured using frequency detector equipped with a dipole antenna. The data is collected by taking the reading of the frequency 5 times at each point at the same location; hence, the average value is calculated. The statistical analysis of the EMR are examined using SPSS software and Microsoft excel is used to calculate the average frequency of the data. In conclusion, the findings significantly shows that stroke patients has lower frequency value of EMR for both right side and left side but has higher frequency for chakra system. This is true for all the three segments of the body. Furthermore, it is also shown that there is no correlation between the left and the right side frequency for the stroke patients whereas the left-right correlation values are significantly high for the non-stroke participants. This observation justify that EMR from human body can contribute to early detection for stroke. |
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