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: Kadir, R. S. S. A., Murat, Z. H., Taib, M. N., Jalil, S. Z. A.
Format: Article
Language:English
Published: Penerbit UTM Press 2016
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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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spelling my.utm.742772017-11-27T09:02:12Z http://eprints.utm.my/id/eprint/74277/ Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation Kadir, R. S. S. A. Murat, Z. H. Taib, M. N. Jalil, S. Z. A. TK Electrical engineering. Electronics Nuclear engineering 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. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/74277/1/ZunairahMurat2016_EvaluationofElectromagneticsRadiation.pdf Kadir, R. S. S. A. and Murat, Z. H. and Taib, M. N. and Jalil, S. Z. A. (2016) Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation. Jurnal Teknologi, 78 (6-3). pp. 47-52. ISSN 0127-9696 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973293337&doi=10.11113%2fjt.v78.8927&partnerID=40&md5=bc04c06b9296e0cca92fae3f083395fc
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kadir, R. S. S. A.
Murat, Z. H.
Taib, M. N.
Jalil, S. Z. A.
Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
description 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.
format Article
author Kadir, R. S. S. A.
Murat, Z. H.
Taib, M. N.
Jalil, S. Z. A.
author_facet Kadir, R. S. S. A.
Murat, Z. H.
Taib, M. N.
Jalil, S. Z. A.
author_sort Kadir, R. S. S. A.
title Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
title_short Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
title_full Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
title_fullStr Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
title_full_unstemmed Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
title_sort evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation
publisher Penerbit UTM Press
publishDate 2016
url 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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score 13.211869