A novel mobile wireless sensing system for realtime monitoring of posture and spine stress

• Main Authors: El-Sayed, B, Farra, N, Moacdieh, N, Hajj, H, Haidar, R, Hajj, Z
• Format: Conference Proceeding
• Language: English
• Subjects: Back; inclinometer; Legged locomotion; load cell; mobile; Mobile communication; Monitoring; Real time systems; real-time monitoring; Sensors; Spine health; Stress; wireless
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/MECBME.2011.5752156

Poor posture or extra stress on the spine has been shown to lead to a variety of spinal disorders including chronic back pain, and to incur numerous health costs to society. For this reason, workplace ergonomics is rapidly becoming indispensable in all major corporations. Making the individual continuously aware of poor posture may reduce out-of-posture tendencies and encourage healthy spinal habits. We have developed a novel wireless mobile sensing system which monitors spine stress in real-time by detecting poor back posture and strain on the back due to prolonged sitting or standing. The system provides a new method of measuring spine stress at both the back and the feet by integrating posture sensors with strain sensors. Posture and strain data is collected by means of a posture sensor at the neck and weight sensors at the feet. Data is transmitted wirelessly to a central processing station and real-time feedback is provided to the user's mobile device when sustained bad posture is detected. Moreover, the position of the patient (sitting, standing, or walking) can be determined by analysis of the weight sensor data and is visualized in real-time, along with back posture, at the central station by means of a graphical animation. Finally, data from all sensors is stored in a database to enable post processing and data analysis, and a summary report of daily posture and physical activity is sent to the user's email. The use of centralized processing allows for high performance data analysis and storage at the central station which enables tracking of the individual's progress. We demonstrate effectiveness of our system in simultaneously monitoring posture and position by testing in numerous situations.