Geometric morphometric analysis on the pelvic bone by race, sex, and age

Zainuddin, Nur Salwani (2020) Geometric morphometric analysis on the pelvic bone by race, sex, and age. Masters thesis, Universiti Sains Malaysia.

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Geometric Morphometric technique is one of the wide techniques has been used by anthropologists in the identification of biological specimens such as bones. The pelvic bone has played a significant role in the human system such as locomotor behavior and baby carrier for females during pregnancy period. By analysing the geometric morphometric method on pelvic bone, the identification of bone such as race, sex, and age, may be determined. Using PACS database, 58 bones were selected randomly to assess sex, age, and race. After that these random image were cleaned and cut using Meshmixer software. Using Institute for Data Analysis and Visualization (IDAV), the landmark of the pelvic bone was selected and ready to analyse by MorphoJ software. There were three statistical analysis that were done which were procrutes ANOVA, principles component analysis (PCA), and canonical variate analysis (CVA). Based on these three statistical analysis, it is found that there is a cluster was shown which is age group of 10 whom from age 1 to 10 years old, 51 to 60 years old and 61 to 70 years old. These cluster were obviously shown compared to other group such as sex and age because of physiology and locomotor changes. There is interference were shown in the other group such as sex, race and other group of age. The interference of group causing the difficulty to analyse the graph.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Anthropology, Physical
Subjects: R Medicine
Divisions: Kampus Kesihatan (Health Campus) > Pusat Pengajian Sains Kesihatan (School of Health Sciences) > Thesis
Depositing User: Mr Abdul Hadi Mohammad
Date Deposited: 11 May 2021 02:58
Last Modified: 11 May 2021 02:58

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