Determination of External Ear Indices by Digital Photometry among Adult Population | Chapter 7 | New Frontiers in Medicine and Medical Research Vol. 1

 Background: The external ear is a distinguishing element of the face because of its appearance and symmetry, which contribute to facial aesthetics. Age, sex, and ethnic origin all have an impact on its shape and size. Auricle characteristics have long been acknowledged as an essential anthropological trait for researching ethnic variability and detecting a few genetic defects at a young age. Digital photometry is the most convenient and useful tool for studying external ear indices out of all the methods available.

The goal of this study was to look at external ear indices in adults using digital photometry.

Methods: A total of 500 adult individuals aged 20 to 30 years old participated in this cross-sectional study. Patients with malignancies, past earlobe surgery or trauma, or congenital earlobe malformations were excluded from the study. A digital camera installed on a stand was then used to capture ear characteristics. On the shot, several soft tissue landmarks were identified, and the various tagged spots were connected. On the right and left ears, many parameters were measured. Auricular, lobular, and conchal indices were calculated. The mean and standard deviations of the measurements were calculated and statistically evaluated.

There were 250 women and 250 guys in total. The oval shape of the auricle was more common in both males and females. On the right and left sides, the auricular and conchal indexes in males and females were statistically insignificant. In both genders, these indices were considerably different. The lobular index was not statistically significant in males on the right and left sides, while it was significant in females. On the right side, the gender-specific lobular index was statistically significant.

Conclusion: The findings of this study can also be utilised to rule out criminals in the field of forensic science. Ear Biometrics is a promising new passive Human Identification method that can be used to screen persons. This information will be useful in the development of a new identifying tool called ‘Ear Biometrics.'

Author (s) Details

Swati Sarjerao More
Department of Anatomy, D. Y. Patil Medical College, Kolhapur, Maharashtra, India.

Vaishali Mane
Department of Anatomy, Prakash Institute of Medical Sciences, Islampur, Maharashtra, India.

Aruna Yadav
Department of anatomy VPDC, Sangli, Maharashtra, India.

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