An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection

Accurate measurement of knee motion during dynamic movements is the key to detect and highlight deficiencies in peripheral muscles and ligaments of the knee and hence to predict the risk of injury. Miniature inertial sensors are increasingly becoming a viable option for human movement measurement, given their small size, low cost and relatively good accuracy compared with traditional optical measurements. A system capable of measuring tibia angle using a shank mounted wireless inertial sensor is proposed. The system employs a simple setup with only one skin-mounted triaxial accelerometer and gyroscope module attached to the tibia segment, and an algorithm to estimate the tibia angle. The accuracy of the system was assessed by an optical tracking system (Optotrak Certus) during dynamic movements performed by three subjects by evaluating Root-Mean-Square Error (RMSE) of tibia-flexion and tibia-adduction angles over the period of motion. We achieve an RMSE of 1.6±1.1 and2.5±1.6 degrees in tibia-flexion and tibia-adduction angles, respectively. It is argued that tibia angle can be reliably used to detect valgus or varus movement of the knee and hence the proposed system provides a simple and useful assessment tool for performance enhancement and rehabilitation.

[1]  T. Hewett,et al.  Biomechanical Measures of Neuromuscular Control and Valgus Loading of the Knee Predict Anterior Cruciate Ligament Injury Risk in Female Athletes: A Prospective Study , 2005, The American journal of sports medicine.

[2]  V. P. Kannus,et al.  Evaluation of abnormal biomechanics of the foot and ankle in athletes. , 1992, British journal of sports medicine.

[3]  D I Rowley,et al.  Computerised measurement of tibiofemoral alignment. , 2001, The Journal of bone and joint surgery. British volume.

[4]  D. Paley,et al.  Mechanical axis deviation of the lower limbs. Preoperative planning of multiapical frontal plane angular and bowing deformities of the femur and tibia. , 1992, Clinical orthopaedics and related research.

[5]  T. Cooke,et al.  Frontal plane knee alignment: a call for standardized measurement. , 2007, The Journal of rheumatology.

[6]  Edgar Charry,et al.  Study on estimation of peak Ground Reaction Forces using tibial accelerations in running , 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[7]  Yutaka Hata,et al.  Analyzing 3D Knee Kinematics Using Accelerometers, Gyroscopes and Magnetometers , 2007, 2007 IEEE International Conference on System of Systems Engineering.

[8]  Kamiar Aminian,et al.  A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes , 2005, IEEE Transactions on Biomedical Engineering.

[9]  Angelo M. Sabatini,et al.  Assessment of walking features from foot inertial sensing , 2005, IEEE Transactions on Biomedical Engineering.

[10]  Diana Hodgins,et al.  Inertial sensor-based knee flexion/extension angle estimation. , 2009, Journal of biomechanics.

[11]  J. Agel,et al.  Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. , 2007, Journal of athletic training.

[12]  Terese L. Chmielewski,et al.  Comparison of 2-Dimensional Measurement Techniques for Predicting Knee Angle and Moment During a Drop Vertical Jump , 2012, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.