Blood vein detection system for SmartPhone

Needle infusion into the body for the nurses or medical respondents is one of the most common activities in current clinical activities. However, a considerable number of mistakes are occurring by the medical practitioner because of the vein pattern that is beneath the human skin and sometimes...

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Main Authors:	Ahmed, Kazi Istiaque, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
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/67955/ http://irep.iium.edu.my/67955/ http://irep.iium.edu.my/67955/ http://irep.iium.edu.my/67955/8/67955%20Blood%20Vein%20Detection%20System.pdf http://irep.iium.edu.my/67955/14/67955%20Blood%20Vein%20Detection%20System_scopus.pdf

id	iium-67955
recordtype	eprints
spelling	iium-679552019-08-17T03:19:33Z http://irep.iium.edu.my/67955/ Blood vein detection system for SmartPhone Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Needle infusion into the body for the nurses or medical respondents is one of the most common activities in current clinical activities. However, a considerable number of mistakes are occurring by the medical practitioner because of the vein pattern that is beneath the human skin and sometimes unidentifiable. These inaccuracies can lead to unavoidable bad circumstances for both patients and phlebotomists. Here, a mechanism that can alleviate that is necessary. The major objective of this research is to develop a real-time process for the detection of the vein by the phlebotomists along with an application in the most widely used handheld device (Android Smartphones) to avoid or at least diminish the number of inevitable scenarios for the patients and the nurses in their SOPs. Illuminated infrared light in the blood cells of the vein is absorbed due to the manifestation of the Haemoglobin in blood and the IR non-blocking camera can capture the vein patterns in the IR light spectrum. Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was used to enhance the pattern of the vein in the Android application developed using OpenCV3. Developed system can detect the veins up to 7mm underneath of human skin in real time with a frame rate of 25fps. This is a far better improvement than commercial systems that can detect veins only below 10mm underneath the skin. Moreover, this system not only focused on needle infusion but also it can be used to indicate the place of bleeding for the clots from the human body strokes, etc. in the upper layer of skin. It can also be used to detect & measure liquids in encapsulated in confined dark bottles, for example, liquid chemical pouring into the bottles in the chemical companies, liquid medicine pouring to bottles, etc. IEEE 2018-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67955/8/67955%20Blood%20Vein%20Detection%20System.pdf application/pdf en http://irep.iium.edu.my/67955/14/67955%20Blood%20Vein%20Detection%20System_scopus.pdf Ahmed, Kazi Istiaque and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2018) Blood vein detection system for SmartPhone. In: 2018 7th International Conference on Computer Communication Engineering (ICCCE2018), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539281 10.1109/ICCCE.2018.8539281
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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 Blood vein detection system for SmartPhone
description	Needle infusion into the body for the nurses or medical respondents is one of the most common activities in current clinical activities. However, a considerable number of mistakes are occurring by the medical practitioner because of the vein pattern that is beneath the human skin and sometimes unidentifiable. These inaccuracies can lead to unavoidable bad circumstances for both patients and phlebotomists. Here, a mechanism that can alleviate that is necessary. The major objective of this research is to develop a real-time process for the detection of the vein by the phlebotomists along with an application in the most widely used handheld device (Android Smartphones) to avoid or at least diminish the number of inevitable scenarios for the patients and the nurses in their SOPs. Illuminated infrared light in the blood cells of the vein is absorbed due to the manifestation of the Haemoglobin in blood and the IR non-blocking camera can capture the vein patterns in the IR light spectrum. Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was used to enhance the pattern of the vein in the Android application developed using OpenCV3. Developed system can detect the veins up to 7mm underneath of human skin in real time with a frame rate of 25fps. This is a far better improvement than commercial systems that can detect veins only below 10mm underneath the skin. Moreover, this system not only focused on needle infusion but also it can be used to indicate the place of bleeding for the clots from the human body strokes, etc. in the upper layer of skin. It can also be used to detect & measure liquids in encapsulated in confined dark bottles, for example, liquid chemical pouring into the bottles in the chemical companies, liquid medicine pouring to bottles, etc.
format	Conference or Workshop Item
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	Blood vein detection system for SmartPhone
title_short	Blood vein detection system for SmartPhone
title_full	Blood vein detection system for SmartPhone
title_fullStr	Blood vein detection system for SmartPhone
title_full_unstemmed	Blood vein detection system for SmartPhone
title_sort	blood vein detection system for smartphone
publisher	IEEE
publishDate	2018
url	http://irep.iium.edu.my/67955/ http://irep.iium.edu.my/67955/ http://irep.iium.edu.my/67955/ http://irep.iium.edu.my/67955/8/67955%20Blood%20Vein%20Detection%20System.pdf http://irep.iium.edu.my/67955/14/67955%20Blood%20Vein%20Detection%20System_scopus.pdf
first_indexed	2023-09-18T21:36:29Z
last_indexed	2023-09-18T21:36:29Z
_version_	1777412854666756096

Blood vein detection system for SmartPhone

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