Diagnosis of bacteria for diabetic foot infection using electronic nose technology
Proceeding of The Conference on Wireless Sensor (ICWISE 2013) at Kuching Sarawak, Malaysia on 2 December 2013 through 4 December 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
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| Language: | English |
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IEEE Computer Society
2014
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my.unimap-354902014-06-14T23:20:46Z Diagnosis of bacteria for diabetic foot infection using electronic nose technology Nurlisa, Yusuf Muhammad Iqbal, Omar Ammar, Zakaria Azian Azamimi, Abdullah Latifah Munirah, Kamarudin Ali Yeon, Md Shakaff, Prof. Dr. Maz Jamilah, Masnan Nurhamidah, Zakaria Yeap, Ewe Juan, Dr Abu Talib, Othman, Dr. Mohd Sadek, Yasin azamimi@unimap.edu.my ammarzakaria@unimap.edu.my Cyranose320 Diabetic foot infection Electronic nose Pattern recognition Proceeding of The Conference on Wireless Sensor (ICWISE 2013) at Kuching Sarawak, Malaysia on 2 December 2013 through 4 December 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp Foot infections may lead to serious complications if failed to detect at an early stage; especially for diabetic patients. It is necessary to develop an easy and reliable method to identify and classify the causative bacteria from the wound to assist health care practitioners. Therefore, this study proposed an alternative to the conventional technique by using an electronic nose with 32 matrices of non-specific conducting polymer sensors known as Cyranose320. A novel odour detection method is developed and targeted for microbial bacteria causing infection on diabetic foot using direct injection of static headspace. The bacteria are obtained from the clinical specimens by swabbing technique and isolated in a blood agar medium to verify the performance of the bacterial specialized medium. Various classification algorithm techniques proved that each bacteria produce certain characteristic of odour and can be used as a surrogate bio-marker. Thus, preliminary results from this study show that the electronic nose is able to identify and classify the presence of causative bacteria with high success rate of over 90% in diabetic foot infection. 2014-06-14T04:13:41Z 2014-06-14T04:13:41Z 2013 Working Paper p. 114-118 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35490 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6728791 10.1109/ICWISE.2013.6728791 en Proceedings of the Conference on Wireless Sensor (ICWISE 2013); IEEE Computer Society |
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English |
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Cyranose320 Diabetic foot infection Electronic nose Pattern recognition |
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Cyranose320 Diabetic foot infection Electronic nose Pattern recognition Nurlisa, Yusuf Muhammad Iqbal, Omar Ammar, Zakaria Azian Azamimi, Abdullah Latifah Munirah, Kamarudin Ali Yeon, Md Shakaff, Prof. Dr. Maz Jamilah, Masnan Nurhamidah, Zakaria Yeap, Ewe Juan, Dr Abu Talib, Othman, Dr. Mohd Sadek, Yasin Diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| description |
Proceeding of The Conference on Wireless Sensor (ICWISE 2013) at Kuching Sarawak, Malaysia on 2 December 2013 through 4 December 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp |
| author2 |
azamimi@unimap.edu.my |
| author_facet |
azamimi@unimap.edu.my Nurlisa, Yusuf Muhammad Iqbal, Omar Ammar, Zakaria Azian Azamimi, Abdullah Latifah Munirah, Kamarudin Ali Yeon, Md Shakaff, Prof. Dr. Maz Jamilah, Masnan Nurhamidah, Zakaria Yeap, Ewe Juan, Dr Abu Talib, Othman, Dr. Mohd Sadek, Yasin |
| format |
Working Paper |
| author |
Nurlisa, Yusuf Muhammad Iqbal, Omar Ammar, Zakaria Azian Azamimi, Abdullah Latifah Munirah, Kamarudin Ali Yeon, Md Shakaff, Prof. Dr. Maz Jamilah, Masnan Nurhamidah, Zakaria Yeap, Ewe Juan, Dr Abu Talib, Othman, Dr. Mohd Sadek, Yasin |
| author_sort |
Nurlisa, Yusuf |
| title |
Diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| title_short |
Diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| title_full |
Diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| title_fullStr |
Diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| title_full_unstemmed |
Diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| title_sort |
diagnosis of bacteria for diabetic foot infection using electronic nose technology |
| publisher |
IEEE Computer Society |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/35490 |
| _version_ |
1643797814505897984 |
| score |
13.222552 |