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Enhanced vision based vein detection system

The process of needle infusion is done daily endless times everywhere and even though it is simple procedure the sheer number of erroneous procedures that can be serious and fatal for the patient is attentive. To prevent or at least reduce the number of errors, this paper proposes an easy guiding me...

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Main Authors:	Ahmed, Kazi Istiaque, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Zainal, Nur Aishah
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2018
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/60047/7/60047%20Enhanced%20Vision%20Based%20Vein%20Detection%20System.pdf http://irep.iium.edu.my/60047/8/60047%20Enhanced%20Vision%20Based%20Vein%20Detection%20System%20SCOPUS.pdf http://irep.iium.edu.my/60047/ https://ieeexplore.ieee.org/document/8311990
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spelling	my.iium.irep.600472018-10-25T02:06:45Z http://irep.iium.edu.my/60047/ Enhanced vision based vein detection system Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul Zainal, Nur Aishah TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The process of needle infusion is done daily endless times everywhere and even though it is simple procedure the sheer number of erroneous procedures that can be serious and fatal for the patient is attentive. To prevent or at least reduce the number of errors, this paper proposes an easy guiding method for nurse and doctors to be integrated into the procedure. A vision-based imaging technique, that gives a practitioner a new perspective for the needle infusion procedure, is introduced. The idea behind of this process is to use the IR camera to capture video sequences of the arm and then compute the effect of electromagnetic wave imprint on each pixel. Then trace the vein location by locating the NIR illumination that is absorbed by the blood in the vein and highlighting it in comparison to the surrounding tissue. Interestingly, this can lead to other applications for the developed system like locating abdominal bleeding, stroke inducing clots in veins near the skin surface and body part vein map-based individual identification biometric to name a few. IEEE 2018-03-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/60047/7/60047%20Enhanced%20Vision%20Based%20Vein%20Detection%20System.pdf application/pdf en http://irep.iium.edu.my/60047/8/60047%20Enhanced%20Vision%20Based%20Vein%20Detection%20System%20SCOPUS.pdf Ahmed, Kazi Istiaque and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul and Zainal, Nur Aishah (2018) Enhanced vision based vein detection system. In: 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), 28th-30th November . 2017, Putrajaya, Malaysia. https://ieeexplore.ieee.org/document/8311990 10.1109/ICSIMA.2017.8311990
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	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul Zainal, Nur Aishah Enhanced vision based vein detection system
description	The process of needle infusion is done daily endless times everywhere and even though it is simple procedure the sheer number of erroneous procedures that can be serious and fatal for the patient is attentive. To prevent or at least reduce the number of errors, this paper proposes an easy guiding method for nurse and doctors to be integrated into the procedure. A vision-based imaging technique, that gives a practitioner a new perspective for the needle infusion procedure, is introduced. The idea behind of this process is to use the IR camera to capture video sequences of the arm and then compute the effect of electromagnetic wave imprint on each pixel. Then trace the vein location by locating the NIR illumination that is absorbed by the blood in the vein and highlighting it in comparison to the surrounding tissue. Interestingly, this can lead to other applications for the developed system like locating abdominal bleeding, stroke inducing clots in veins near the skin surface and body part vein map-based individual identification biometric to name a few.
format	Conference or Workshop Item
author	Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul Zainal, Nur Aishah
author_facet	Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul Zainal, Nur Aishah
author_sort	Ahmed, Kazi Istiaque
title	Enhanced vision based vein detection system
title_short	Enhanced vision based vein detection system
title_full	Enhanced vision based vein detection system
title_fullStr	Enhanced vision based vein detection system
title_full_unstemmed	Enhanced vision based vein detection system
title_sort	enhanced vision based vein detection system
publisher	IEEE
publishDate	2018
url	http://irep.iium.edu.my/60047/7/60047%20Enhanced%20Vision%20Based%20Vein%20Detection%20System.pdf http://irep.iium.edu.my/60047/8/60047%20Enhanced%20Vision%20Based%20Vein%20Detection%20System%20SCOPUS.pdf http://irep.iium.edu.my/60047/ https://ieeexplore.ieee.org/document/8311990
_version_	1643617782852485120
score	13.211869

Enhanced vision based vein detection system

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