Literature DB >> 7595320

Sex assessment from metacarpals of the human hand.

A B Falsetti1.   

Abstract

Discriminant functions designed for the determination of sex from metacarpal measurements are presented. Three samples of metacarpal specimens were employed in the analysis; one consisting of 212 individuals from the Terry Collection, one of 33 individuals from the Royal Free Medical School in London, and finally, 40 individuals from the Forensic/Donated Collection, Maxwell Museum of Anthropology, University of New Mexico, all of whom had documented sex. Five measurements designed to characterize the size and shape of the human metacarpal were taken on all five digits. Based on the Terry Collection, significant metric differences attributed to race were found for digits I and III, and thus functions could only be derived for the three remaining metacarpals. Sex discriminant functions derived from the Terry Collection for digits II, IV, and V provide correct classification of 92.0, 86.26, and 84.37 percent. The resulting three linear equations were then independently applied to the Royal Free Medical School and Forensic/Donated samples to validate the accuracy of the original functions. Percentage of correct classification for each of the test samples varies.

Entities:  

Mesh:

Year:  1995        PMID: 7595320

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  7 in total

1.  Index and ring finger ratio--a morphologic sex determinant in South-Indian children.

Authors:  Tanuj Kanchan; G Pradeep Kumar
Journal:  Forensic Sci Med Pathol       Date:  2010-04-06       Impact factor: 2.007

2.  3D analysis of computed tomography (CT)-derived lumbar spine models for the estimation of sex.

Authors:  Summer J Decker; Robert Foley; Joshua M Hazelton; Jonathan M Ford
Journal:  Int J Legal Med       Date:  2019-01-31       Impact factor: 2.686

3.  Morphometric research and sex estimation of lumbar vertebrae in a contemporary Spanish population.

Authors:  Alba Azofra-Monge; Inmaculada Alemán Aguilera
Journal:  Forensic Sci Med Pathol       Date:  2020-03-26       Impact factor: 2.007

4.  Accuracies of discriminant function equations for sex estimation using long bones of upper extremities.

Authors:  Mubarak A Bidmos; Pedzisai Mazengenya
Journal:  Int J Legal Med       Date:  2020-11-11       Impact factor: 2.686

Review 5.  The neural mechanisms of manual dexterity.

Authors:  Anton R Sobinov; Sliman J Bensmaia
Journal:  Nat Rev Neurosci       Date:  2021-10-28       Impact factor: 38.755

6.  Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics.

Authors:  Oscar Miguel-Hurtado; Richard Guest; Sarah V Stevenage; Greg J Neil; Sue Black
Journal:  PLoS One       Date:  2016-11-02       Impact factor: 3.240

7.  Application of Convolutional Neural Network for Fingerprint-Based Prediction of Gender, Finger Position, and Height.

Authors:  Chung-Ting Hsiao; Chun-Yi Lin; Po-Shan Wang; Yu-Te Wu
Journal:  Entropy (Basel)       Date:  2022-03-29       Impact factor: 2.524

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.