A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision method

In this work we propose a methodology to detect the severity of carotid stenosis from a video of a human face with the help of a coupled blood flow and head vibration model. This semi‐active digital twin model is an attempt to link non‐invasive video of a patient face to the percentage of carotid occlusion. The pulsatile nature of blood flow through the carotid arteries induces a subtle head vibration. This vibration is a potential indicator of carotid stenosis severity and it is exploited in the present study. A head vibration model has been proposed in the present work that is linked to the forces generated by blood flow with or without occlusion. The model is used to generate a large number of virtual head vibration data for different degrees of occlusion. In order to determine the in vivo head vibration, a computer vision algorithm is adopted to use human face videos. The in vivo vibrations are compared against the virtual vibration data generated from the coupled computational blood flow/vibration model. A comparison of the in vivo vibration is made against the virtual data to find the best fit between in vivo and virtual data. The preliminary results on healthy subjects and a patient clearly indicate that the model is accurate and it possesses the potential for detecting approximate severity of carotid artery stenoses

NECK CIRCUMFERENCE POSITIVELY RELATED WITH CENTRAL OBESITY AND OVERWEIGHT IN TURKISH UNIVERSITY STUDENTS: A PRELIMINARY STUDY

Aim: According to the World Health Organization, central obesity is increasing alarmingly worldwide. Neck circumference is a relatively new method of differentiating between normal and abnormal fat distribution. The aim of this study is to determine the association between neck circumference and central obesity in young Turkish male and female university students. Methods: A community of university students based cross-sectional study was conducted on 319 males and 838 females and investigated the association between neck circumference and other anthropometric variables by gender. Results: In male subjects, the neck circumference revealed a positive correlation with the body mass index (r = 0.684, p < 0.01), waist circumference (r = 0.686, p < 0.01) and waist/hip ratio (r = 0.534, p < 0.01). Similarly, in female subjects neck circumference revealed a positive correlation with the body mass index (r = 0.482, p < 0.01), waist circumference (r = 0.479, p < 0.01) and waist/hip ratio (r = 0.246, p < 0.01). Conclusion: Our study has demonstrated that the positive correlation between neck circumference, which is a simple and fast anthropometric measurement, and visceral obesity, is also applicable to university students.WOS:0003809743000012-s2.0-84987622642PubMed: 2711965