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Implementation and Validation of Human Kinematics Measured Using IMUs for Musculoskeletal Simulations by the Evaluation of Joint Reaction Forces

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CMBEBIH 2017

Part of the book series: IFMBE Proceedings ((IFMBE,volume 62))

Abstract

The gold standard for the analysis of human kinematics and kinetics is a camera-based motion capture system in combination with force measurement platforms. Alternatively, inertial measurement units can be utilized to obtain human kinematics, while ground reaction forces are computed from full body dynamics. This setup represents a system independent from the spatial confinement of a gait laboratory. The aim of this study is the comparison of the two methods by the investigation of lower limb kinematics and the resulting joint reaction forces within the ankle-, knee- and hip joints. For this purpose, human motion during gait was captured simultaneously by both measurement techniques. 13 trials from 8 different test subjects were evaluated in total. IMU data was processed with a quaternion based Kalman Filter. The data sets were implemented into a musculoskeletal simulation program in order to drive a virtual human body model. Each sensor was aligned to the gravitational and magnetic field vectors of the earth. The angles of flexions, extensions and rotations were analyzed to determine kinematic differences. Joint reaction forces defined kinetic dissimilarities. The overall kinematic differences of both models yielded root mean square errors of 7.62°, 6.02°, 4.95°, 2.79°, 2.38° and 3.56° for ankle flexion, subtalar eversion, knee flexion, hip external rotation, hip abduction and hip flexion, respectively. The proximo-distal differences in force peaks between the models yielded overall for the ankle, 57.33 %Bodyweight(BW) ± 46.86 %BW (16.66 %(Maximum peak to peak) ± 13.62 %) for the knee 37.09 %BW ± 29.33 %BW (17.65 % ± 15.44 %) and 32.03 %BW ± 24.33 %BW (15.6 % ± 12.54 %) for the hip. The overall outcome of this work investigated an approach independent of the common setup of the gait laboratory, thus enabling a cheaper and more flexible technology as an alternative. However, kinematic and thus kinetic differences remain rather large. Future work aims to improve the contact criterion for the calculation of the ground reaction forces and the implementation of a full-body calibration algorithm for the IMU system in order to counteract magnetic field disturbances.

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References

  1. W. S. Flenniken IV, J. H. Wall, and D. M. Bevly, “Characterization of Various IMU Error Sources and the Effect on Navigation Performance,” Ion Gnss 2005, pp. 967–978, 2005.

    Google Scholar 

  2. I. M. Unit, “IMU Errors and Their Effects,” pp. 1–6, 2014.

    Google Scholar 

  3. Ö. Bebek, M. A. Suster, S. Rajgopal, M. J. Fu, X. Huang, M. C. Çavusoǧlu, D. J. Young, M. Mehregany, A. J. Van Den Bogert, and C. H. Mastrangelo, “Personal navigation via high-resolution gait-corrected inertial measurement units,” in IEEE Transactions on Instrumentation and Measurement, 2010.

    Google Scholar 

  4. R. Mahony, T. Hamel, and J. M. Pflimlin, “Nonlinear complementary filters on the special orthogonal group,” IEEE Trans. Automat. Contr., vol. 53, no. 5, pp. 1203–1218, 2008.

    Google Scholar 

  5. G. Welch and G. Bishop, “An Introduction to the Kalman Filter,” In Pract., vol. 7, no. 1, pp. 1–16, 2006.

    Google Scholar 

  6. X. Robert, L. Hakim, M. Christian, and L. André, “Validation of inertial measurement units with an optoelectronic system for whole ‑ body motion analysis,” Med. Biol. Eng. Comput., 2016.

    Google Scholar 

  7. T. Seel, J. Raisch, and T. Schauer, “IMU-Based Joint Angle Measurement for Gait Analysis,” Sensors, vol. 14, pp. 6891–6909, 2014.

    Google Scholar 

  8. A. Leardini, G. Lullini, S. Giannini, L. Berti, M. Ortolani, and P. Caravaggi, “Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis.”

    Google Scholar 

  9. T. Seel and T. Schauer, “IMU-based Joint Angle Measurement Made Practical Introduction Inertial Measurement Units Robotic Hinge Joint vs . Human Knee,” p. 6, 2012.

    Google Scholar 

  10. R. G. Valenti, I. Dryanovski, and J. Xiao, “Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs,” Sensors, vol. 15, pp. 19302–19330, 2015.

    Google Scholar 

  11. A. M. Sabatini, “Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing,” IEEE Trans. Biomed. Eng., 2006.

    Google Scholar 

  12. R. Fluit, M. S. Andersen, S. Kolk, N. Verdonschot, and H. F. J. M. Koopman, “Prediction of ground reaction forces and moments during various activities of daily living,” J. Biomech., vol. 47, no. 10, pp. 2321–2329, 2014.

    Google Scholar 

  13. E. K. Antonsson and R. W. Mann, “THE FREQUENCY CONTENT OF GAIT,” vol. 18, pp. 39–47, 1985.

    Google Scholar 

  14. G. Bergmann, G. Deuretzbacher, M. Heller, F. Graichen, and A. Rohlmann, “Hip contact forces and gait patterns from routine activities,” vol. 34, pp. 859–871, 2001.

    Google Scholar 

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Correspondence to Maximilian Aurbach .

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Aurbach, M., Wagner, K., Süß, F., Dendorfer, S. (2017). Implementation and Validation of Human Kinematics Measured Using IMUs for Musculoskeletal Simulations by the Evaluation of Joint Reaction Forces. In: Badnjevic, A. (eds) CMBEBIH 2017. IFMBE Proceedings, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-4166-2_31

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  • DOI: https://doi.org/10.1007/978-981-10-4166-2_31

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