Yaghoub Salekzamani
1 
, Nargess Abolghassemi Fakhree
2, Mahzad Azimpouran
3, Afshin Ebrahimi
4, Hamed Heravi
5, Neda Dolatkhah
6* 1 Physical Medicine and Rehabilitation Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
2 Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
3 Department of General Pathology, Tabriz University of Medical Science, Tabriz, Iran
4 ICT Research Center, Faculty of Electrical Engineering, Sahand University of Technology, Sahand New Town, Tabriz, Iran
5 Sahand University of Technology, Sahand New Town, Tabriz, Iran
6 Physical Medicine and Rehabilitation Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
Abstract
Introduction Body vision is a novel method which examines postural indices through photogrammetric essentials. Nevertheless, its reliability and validity has not been appraised till now. We aimed to evaluate the reliability and validity of body vision system for posture assessment Methods This was a cross sectional study in which two examiners evaluated photographs of 71 subject using body vision system twice with two-week interval. The Body Vision system involves a Grid wall and a camera fixed in front of the grid wall at about 390 cm distances. Three standing photographs (anterior, right lateral, and posterior view) were captured for participants. Results The results for inter-rater reliability analysis showed most of the parameters (74%) had excellent 95% Confidence Interval (CI), 10 % had good to excellent 95% CI, 13% had moderate to good 95% CI, and 1% had poor to moderate 95% CI (Table 2). The results for intra-rater reliability analysis showed 70-72% of the parameters had excellent 95% Confidence Interval (CI), 6-9% had good to excellent 95% CI, 12-13% had moderate to good 95% CI, and 9% had poor to moderate 95% CI. The comparison between known distances and angles on grid wall and those obtained from photogrammetric measurements showed there is no statistical significant difference (p > 0.05). Also the regression analysis showed there is a significant and positive relationship between them (R2 = 1, p < 0.05). Conclusion The results of this study showed that body vision system is a valid and reliable tool for measuring postural parameters.