Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (52): 9777-9780.doi: 10.3969/j.issn.1673-8225.2010. 52.022

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Principal component of morphological traits of heart using Matlab: A cluster analysis

Hou Yuan-yuan, Zhou Ping, Zhang Yun   

  1. School of Biomedical Engineering, Capital Medical University, Beijing  100069, China
  • Online:2010-12-24 Published:2010-12-24
  • Contact: Zhang Yun, Associate professor, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China eduhelp@163.com
  • About author:Hou Yuan-yuan★, Studying for master’s degree, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China hyy200333@163.com
  • Supported by:

    the Basic Clinical Foundation of Capital Medical University, No. 10JL51e

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Abstract:

BACKGROUND: Cluster of heart according to the characteristics can benefit subsequent statistical analysis and study. Cluster is a multielement method to classify sample or variable according to qualitative similarity.
OBJECTIVE: To propose the component-cluster method to describe and classify the shape of cardiac morphology and to comprehensively evaluate the heart indicators in the chest X-ray of Chinese healthy adults.
METHODS: We collected 36 chest X-rays of healthy adults, and manually measured 10 indicators, which represented the heart of morphological shapes using the software MxLiteView, We complied principal component analysis and cluster analysis using Matlab.
RESULTS AND CONCLUSION: Three principal components variables were extracted by principal component analysis. After cluster analysis using the extracted principal components, the 36 samples were divided into three categories, which represented three different types of heart shape. This method is used to classify the shape of heart morphology rapidly and provides some reference value for statistics and classification study of the heart.

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