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Enhanced vein detection from video sequences

Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes...

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Main Authors: Ahmed, Kazi Istiaque, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science (IAES) Indonesia 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://irep.iium.edu.my/60024/1/10011-12425-1-PB.pdf
http://irep.iium.edu.my/60024/7/Enhanced%20vein%20detection%20from%20video%20sequences.pdf
http://irep.iium.edu.my/60024/
http://iaescore.com/journals/index.php/IJEECS/article/view/10011/7645
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spelling my.iium.irep.600242018-01-15T02:53:20Z http://irep.iium.edu.my/60024/ Enhanced vein detection from video sequences Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK Electrical engineering. Electronics Nuclear engineering Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes a computer-aided new technique using the vision-based imaging and Contrast Limited Adative Histogram Equalization (CLAHE) to detect and visualize the vein beneath a human's skin from video sequences which will be a really cost effective solution. IR night vision camera is being used to acquire the videos of an arm to compute the effect electromagnetic effect from NIR illumination which is absorbed by the hemoglobin of the blood vessel tissues. More precisely, its application can lead the process not only for error-free infusion of a needle to the patients but also localization of abdominal bleeding, stroke-inducing clots in the vein are the name of few. Institute of Advanced Engineering and Science (IAES) Indonesia 2017-11 Article REM application/pdf en http://irep.iium.edu.my/60024/1/10011-12425-1-PB.pdf application/pdf en http://irep.iium.edu.my/60024/7/Enhanced%20vein%20detection%20from%20video%20sequences.pdf Ahmed, Kazi Istiaque and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2017) Enhanced vein detection from video sequences. Indonesian Journal of Electrical Engineering and Computer Science, 8 (2). pp. 420-427. ISSN 2502-4752 http://iaescore.com/journals/index.php/IJEECS/article/view/10011/7645 10.11591/ijeecs.v8.i2.pp420-427
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmed, Kazi Istiaque
Habaebi, Mohamed Hadi
Islam, Md. Rafiqul
Enhanced vein detection from video sequences
description Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes a computer-aided new technique using the vision-based imaging and Contrast Limited Adative Histogram Equalization (CLAHE) to detect and visualize the vein beneath a human's skin from video sequences which will be a really cost effective solution. IR night vision camera is being used to acquire the videos of an arm to compute the effect electromagnetic effect from NIR illumination which is absorbed by the hemoglobin of the blood vessel tissues. More precisely, its application can lead the process not only for error-free infusion of a needle to the patients but also localization of abdominal bleeding, stroke-inducing clots in the vein are the name of few.
format Article
author Ahmed, Kazi Istiaque
Habaebi, Mohamed Hadi
Islam, Md. Rafiqul
author_facet Ahmed, Kazi Istiaque
Habaebi, Mohamed Hadi
Islam, Md. Rafiqul
author_sort Ahmed, Kazi Istiaque
title Enhanced vein detection from video sequences
title_short Enhanced vein detection from video sequences
title_full Enhanced vein detection from video sequences
title_fullStr Enhanced vein detection from video sequences
title_full_unstemmed Enhanced vein detection from video sequences
title_sort enhanced vein detection from video sequences
publisher Institute of Advanced Engineering and Science (IAES) Indonesia
publishDate 2017
url http://irep.iium.edu.my/60024/1/10011-12425-1-PB.pdf
http://irep.iium.edu.my/60024/7/Enhanced%20vein%20detection%20from%20video%20sequences.pdf
http://irep.iium.edu.my/60024/
http://iaescore.com/journals/index.php/IJEECS/article/view/10011/7645
_version_ 1643615712120406016
score 13.211869

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