Estimation of human body built in Egyptians

Identification of an unknown body and prediction of growth from specific body measurements are very important tasks in the fields of physical anthropology and forensic medicine. Height and weight are two factors among others required to establish individuality of an unidentified body. In the present work, an attempt has been made to calculate the stature and weight from percutaneous tibial length and bimalleolar breadth. The study was carried out on 1000 living Egyptian individuals comprising 500 males and 500 females; their age was between 19 and 21 years. A significant positive correlation between stature and tibial length in both sexes was recorded. The coefficient of determination showed that 56% of variation in stature was due to tibial length and bimalleolar breadth in males, while in females the coefficient of determination was 23%. On the other hand, the coefficient of determination for weight showed that 11% of variability in weight was due to tibial length and bimalleolar breadth in males, while in females it was 5%. Linear regression analysis was done for all variables in all cases. The regression equation formulae are helpful in the estimation of stature and weight of the deceased from tibial length and bimalleolar breadth when leg or foot is the only portion available for autopsy examination.     

Corneal‐Smart Phone: A novel method to intelligently estimate postmortem interval

The changes of postmortem corneal opacity are often used to roughly estimate the postmortem interval (PMI) in forensic practice. The difficulty associated with this time estimate is the lack of objective means to rapidly quantify postmortem corneal changes in crime scenes. This study constructed a data analysis model of PMI estimation and implemented an intelligent analysis system for examining the sequential changes of postmortem corneal digital images, named Corneal‐Smart Phone, which can be used to quickly estimate PMI. The smart phone was used in combination with an attachment device that provided a darkroom environment and a steady light source to capture postmortem corneal images. By segmenting the corneal pupil region images, six color features, Red (R), Green (G), Blue (B), Hue (H), Saturation (S), Brightness (V) and four texture features Contrast (CON), Correlation (COR), Angular Second Moment (ASM), and Homogeneity (HOM), were extracted and correlated with PMI model. The results indicated that CON had the highest correlation with PMI (R² = 0.983). No intra/intersubject variation in CON values were observed (p > 0.05). With the increase in ambient temperature or the decrease in humidity, the CON values were increased. PMI prediction error was <3 h within 36 h postmortem and extended to about 6–8 h after 36 h postmortem. The correct classification rate of the blind test samples was 82%. Our study provides a method that combines postmortem corneal image acquisition and digital image analysis to enable users to quickly obtain PMI estimation.