Designing and Making Smart Class Board into Automatic Height Adjustable and Assessment the Effect on Posture of Users

Abstract

Background: This study aimed to design;nbsp__AWT_NOKT_COMMA__ smart class board authomatically adjustable to height;nbsp__AWT_NOKT_COMMA__ and assess its effect on of users;apos__AWT_NOKT_COMMA__ posture. Methods: This interventional study evaluated the effects of smart board application on users;apos__AWT_NOKT_COMMA__ posture while using non-smart boards, as well as smart boards, based on Rapid Entire Body Assessment (REBA) method.The study population included the professors and students of Isfahan University of Medical sciences. The data were analyzed in SPSS software (version20), and a value of P;lt__AWT_NOKT_COMMA__ 0.05 was considered statistically significant. Findings: According to the results of the presents study, 54.5% of participants required a necessary corrective measure (as soon as possible) in the application of;nbsp__AWT_NOKT_COMMA__ upper part of non-smart boards, and were placed at the third level of corrective measure priorotization . In addition, the assessment of users;apos__AWT_NOKT_COMMA__ postures while using the;nbsp__AWT_NOKT_COMMA__ middle part of board indicated that in non-smart boards, 90.9% of subjects were at the second level of corrective measure priorotization, while this value dropped to 4.5% in using smart boards. On the other hand, users;apos__AWT_NOKT_COMMA__ postures while using the;nbsp__AWT_NOKT_COMMA__ lower part of the board was assessed and revealed that 18.2% of participants were at the second level;nbsp__AWT_NOKT_COMMA__ of;nbsp__AWT_NOKT_COMMA__ corrective measure priorotization, while there was no need for corrective measures in use of smart boards. Conclusion: The obtained results of posture assessment by REBA method in this study indicated a substantial risk in using non-smart boards. Accordingly, it is suggested that this new technology be used to prevent musculoskeletal disorders.