Geometric morphometric analysis on the pelvic bone by race, sex, and age
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 p...
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| Format: | Thesis |
| Language: | English |
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2020
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| Online Access: | http://eprints.usm.my/49136/ http://eprints.usm.my/49136/1/TESIS-NUR%20SALWANI%20ZAINUDDIN%20%28P-SKM0034_19%29-24%20pages.pdf |
| _version_ | 1848881354719100928 |
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| author | Zainuddin, Nur Salwani |
| author_facet | Zainuddin, Nur Salwani |
| author_sort | Zainuddin, Nur Salwani |
| building | USM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T18:17:42Z |
| format | Thesis |
| id | usm-49136 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:17:42Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-491362021-05-11T02:58:59Z http://eprints.usm.my/49136/ Geometric morphometric analysis on the pelvic bone by race, sex, and age Zainuddin, Nur Salwani R Medicine 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. 2020-09 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/49136/1/TESIS-NUR%20SALWANI%20ZAINUDDIN%20%28P-SKM0034_19%29-24%20pages.pdf Zainuddin, Nur Salwani (2020) Geometric morphometric analysis on the pelvic bone by race, sex, and age. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | R Medicine Zainuddin, Nur Salwani Geometric morphometric analysis on the pelvic bone by race, sex, and age |
| title | Geometric morphometric analysis on the pelvic bone by race, sex, and age |
| title_full | Geometric morphometric analysis on the pelvic bone by race, sex, and age |
| title_fullStr | Geometric morphometric analysis on the pelvic bone by race, sex, and age |
| title_full_unstemmed | Geometric morphometric analysis on the pelvic bone by race, sex, and age |
| title_short | Geometric morphometric analysis on the pelvic bone by race, sex, and age |
| title_sort | geometric morphometric analysis on the pelvic bone by race, sex, and age |
| topic | R Medicine |
| url | http://eprints.usm.my/49136/ http://eprints.usm.my/49136/1/TESIS-NUR%20SALWANI%20ZAINUDDIN%20%28P-SKM0034_19%29-24%20pages.pdf |