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  • 标题:PCA- Based Feature Extraction and LDA algorithm for Preterm Birth Monitoring
  • 本地全文:下载
  • 作者:Muhammad Naufal Mansor ; Sazali Yaacob ; Hariharan Muthusamy
  • 期刊名称:International Journal of Soft Computing and Software Engineering
  • 电子版ISSN:2251-7545
  • 出版年度:2011
  • 卷号:1
  • 期号:1
  • 页码:30-35
  • DOI:10.7321/jscse.v1.n1.5
  • 出版社:Advance Academic Publisher
  • 摘要:Most pregnancies last around 40 weeks. Babies born between 37 and 42 completed weeks of pregnancy are called full term. Premature birth is a serious health problem. Premature babies are at increased risk for newborn health complications, such as breathing problems, and even death. Most premature babies require care in a newborn intensive care unit (NICU). 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. Thus, 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, skin detection and LDA algorithm.
  • 关键词:Preterm Birtt; Image Processing; PCA; LDA
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