Preemies birth monitoring using color detection method
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my.unimap-265692013-07-10T09:11:07Z Preemies birth monitoring using color detection method Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Shafriza Nisha, Basah, Dr. Syahryull Hi-Fi Syam, Ahmad Jamil Mohd Lutfi, Mohd Khidir Muhammad Nazri, Rejab Ku Mohd Yusri, Ku Ibrahim Addzrull Hi-Fi Syam, Ahmad Jamil Ahmad Kadri, Junoh apairia@yahoo.com s.yaacob@unimap.edu.my hari@unimap.edu.my shafriza@unimap.edu.my syahrull30@yahoo.com nazri_554@yahoo.com kmyusri82@gmail.com kadri@unimap.edu.my mdlutfi@gmail.com azrulhifisyam@yahoo.com Color detection Image processing Premature infant Link to publisher's homepage at www.elsevier.com Administration of vaccines and nutritional supplements to baby or infant is mainly depends on their chronological age and weight. For examples, iron supplements and hepatitis B vaccine should be initiated when the baby is 2 weeks or two months old and their weight is around 2 kg, respectively. To ensure effective vaccines and supplements administration, physicians need to continuously monitor baby/infant age and weight. For prematurely born baby or preemie, the administration of vaccines and supplements is far more challenging due to two main reasons. First, physicians need to make necessary adjustment based on preemie estimated birth date i.e. week 37. Second, a preemie usually needs frequent office care - to screen vision or hearing problems and assess baby development - involving multiple medical disciplines which require accurate coordination. We proposed a monitoring system to classify the behavior of a preemie using intelligent vision system. The focus is on predicting preemie behavior based on preemie motion, face and skin analysis. Our preliminary experimental results show a promising performance of the initial part of the system involving preemie face and skin detection algorithm. 2013-07-10T08:53:37Z 2013-07-10T08:53:37Z 2012-03-10 Working Paper Procedia Engineering, vol. 29, 2012, pages 1625–1630 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812001944# http://hdl.handle.net/123456789/26569 en Proceedings of the International Workshop on Information and Electronics Engineering (IWIEE 2012) Elsevier B.V. |
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Color detection Image processing Premature infant |
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Color detection Image processing Premature infant Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Shafriza Nisha, Basah, Dr. Syahryull Hi-Fi Syam, Ahmad Jamil Mohd Lutfi, Mohd Khidir Muhammad Nazri, Rejab Ku Mohd Yusri, Ku Ibrahim Addzrull Hi-Fi Syam, Ahmad Jamil Ahmad Kadri, Junoh Preemies birth monitoring using color detection method |
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Link to publisher's homepage at www.elsevier.com |
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apairia@yahoo.com |
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apairia@yahoo.com Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Shafriza Nisha, Basah, Dr. Syahryull Hi-Fi Syam, Ahmad Jamil Mohd Lutfi, Mohd Khidir Muhammad Nazri, Rejab Ku Mohd Yusri, Ku Ibrahim Addzrull Hi-Fi Syam, Ahmad Jamil Ahmad Kadri, Junoh |
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Working Paper |
author |
Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Shafriza Nisha, Basah, Dr. Syahryull Hi-Fi Syam, Ahmad Jamil Mohd Lutfi, Mohd Khidir Muhammad Nazri, Rejab Ku Mohd Yusri, Ku Ibrahim Addzrull Hi-Fi Syam, Ahmad Jamil Ahmad Kadri, Junoh |
author_sort |
Muhammad Naufal, Mansor |
title |
Preemies birth monitoring using color detection method |
title_short |
Preemies birth monitoring using color detection method |
title_full |
Preemies birth monitoring using color detection method |
title_fullStr |
Preemies birth monitoring using color detection method |
title_full_unstemmed |
Preemies birth monitoring using color detection method |
title_sort |
preemies birth monitoring using color detection method |
publisher |
Elsevier B.V. |
publishDate |
2013 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/26569 |
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1643794989745963008 |