Abstract
Functional rehabilitation aims at recovering the locomotion dysfunction of the human body by the physical therapy. The objective of this present study was to develop a system of systems (SoS) for monitoring the biomechanical feedbacks of the musculoskeletal system during the rehabilitation exercises. Wireless sensors (Kinect camera sensor, Shimmer kinematics and Electromyography (EMG) sensors) coupled with a biomechanical model was used to supervise the joint kinematics, muscle forces and joint contact area of the musculoskeletal system of the human body. A calculation time reduction strategy for joint contact area analysis was established to reach the constraints of real time simulation. A pilot case study was applied on a patient with post-polio residual paralysis. Joint kinematics and contact area at the knee level were supervised during flexion motion using video-based non-contact Kinect sensor. For the first time, an enhanced rigid multi-bodies model integrating joint contact area behavior was used for a rehabilitation purpose. Our system would be of great interest in the supervision of physical therapy exercises in non-clinical environments (e.g. rehabilitation at home).
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Dao, T.T., Pouletaut, P., Gamet, D., Christine Ho Ba Tho, M. (2015). Real-Time Rehabilitation System of Systems for Monitoring the Biomechanical Feedbacks of the Musculoskeletal System. In: Nguyen, VH., Le, AC., Huynh, VN. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-11680-8_44
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DOI: https://doi.org/10.1007/978-3-319-11680-8_44
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