Table of Contents Author Guidelines Submit a Manuscript
Journal of Healthcare Engineering
Volume 2017, Article ID 1949170, 11 pages
https://doi.org/10.1155/2017/1949170
Research Article

Inertial Sensor-Based Motion Analysis of Lower Limbs for Rehabilitation Treatments

1School of Mechanical & Automative Engineering, South China University of Technology, Guangzhou, Guangdong, China
2The Second People’s Hospital of Shenzhen, Shenzhen, Guangdong, China
3Shenzhen Institute of Geriatrics, Shenzhen, Guangdong, China
4School of Mechanical Engineering, Guangxi University of Science and Technology, Liuzhou, Guangxi, China

Correspondence should be addressed to Chunbao Wang; moc.361@gnawoabnuhc and Zhengzhi Wu; moc.361@100zzwzs

Received 2 March 2017; Accepted 9 May 2017; Published 5 July 2017

Academic Editor: Chengzhi Hu

Copyright © 2017 Tongyang Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Aging Population Development Trend Forecasting Research Reports of China, Members of the National Council on Aging office, 2006.
  2. State Department China Aging Development “Twelve Five” Plan, vol. 2, 2011.
  3. J. Rong, Practical Hemiplegia Rehabilitation Technical Illustration, People’s Medical Publishing House, 2005.
  4. S. Cosentino, K. Petersen, Z. Lin et al., “Natural human-robot musical interaction: understanding the music conductor gestures by using the WB-4 inertial measurement system,” Advanced Robotics, vol. 28, no. 11, pp. 781–792, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. L. D. Duffell, N. Hope, and A. H. McGregor, “Comparison of kinematic and kinetic parameters calculated using a cluster-based model and Vicon’s plug-in gait,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 228, no. 2, pp. 206–210, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Zhou and Y. Q. Yu, “Coordination control of dual-arm modular robot based on position feedback using Optotrak3020,” Industrial Robot, vol. 38, no. 2, pp. 172–185, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. Organic Motion Inc., http://www.Organicmotion.com.
  8. A. Pfister, A. M. West, S. Bronner, and J. A. Noah, “Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis,” Journal of Medical Engineering and Technology, vol. 38, no. 5, pp. 274–280, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. Polhemus Inc., http://www.polhemus.com.
  10. “Aurora electromagnetic measurement system,” http://www.ndigital.com/medical/aurora.php.
  11. “Ultrasonic industrial positioning systems,” http://www.hexamite.com.
  12. X. Robert-Lachaine, H. Mecheri, C. Larue, and A. Plamondon, “Accuracy and repeatability of single-pose calibration of inertial measurement units for whole-body motion analysis,” Gait & Posture, vol. 54, pp. 80–86, 2017. View at Publisher · View at Google Scholar
  13. X. Robert-Lachaine, H. Mecheri, C. Larue, and A. Plamondon, “Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis,” Medical & Biological Engineering & Computing, pp. 1–11, 2016. View at Google Scholar
  14. J. C. van den Noort, S. H. Wiertsema, K. M. C. Hekman, C. P. Schönhuth, J. Dekker, and J. Harlaar, “Measurement of scapular dyskinesis using wireless inertial and magnetic sensors: importance of scapula calibration,” Journal of Biomechanics, vol. 48, no. 12, pp. 3460–3468, 2015. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Schwickert, R. Boos, J. Klenk, A. Bourke, C. Becker, and W. Zijlstra, “Inertial sensor based analysis of lie-to-stand transfers in younger and older adults,” Sensors, vol. 16, no. 8, p. 1277, 2016. View at Publisher · View at Google Scholar
  16. T. Sun, Q. Liu, W. Li et al., “Hip, knee and ankle motion angle detection based on inertial sensor,” in 2016 IEEE International Conference on Information and Automation (ICIA), pp. 1612–1617, 2016. View at Publisher · View at Google Scholar
  17. Y. Gao, Z. Jiang, W. Ni et al., “A novel gait detection algorithm based on wireless inertial sensors,” in CMBEBIH 2017, pp. 300–304, Springer, Singapore, 2017. View at Publisher · View at Google Scholar
  18. C. Tunca, N. Pehlivan, N. Ak, B. Arnrich, G. Salur, and C. Ersoy, “Inertial sensor-based robust gait analysis in non-hospital settings for neurological disorders,” Sensors, vol. 17, no. 4, p. 825, 2017. View at Publisher · View at Google Scholar
  19. C. Nüesch, E. Roos, G. Pagenstert, and A. Mündermann, “Measuring joint kinematics of treadmill walking and running: comparison between an inertial sensor based system and a camera-based system,” Journal of Biomechanics, vol. 57, pp. 32–38, 2017. View at Publisher · View at Google Scholar
  20. J. Kodama and T. Watanabe, “Examination of inertial sensor-based estimation methods of lower limb joint moments and ground reaction force: results for squat and sit-to-stand movements in the sagittal plane,” Sensors, vol. 16, no. 8, p. 1209, 2016. View at Publisher · View at Google Scholar · View at Scopus
  21. T. Watanabe, Gait Phase Based Force Control Method for Body Weight Support Gait Rehabilitation from Orthopedic Surgery [D], Doctor thesis of Waseda University, Tokyo, 2012, (in Japanese).
  22. Z. Chen and H. J. Lee, “Knowledge-guided visual perception of 3D human gait from a single image sequence,” IEEE Transactions on Systems Man Cybernetics, vol. 22, no. 2, pp. 336–342, 1992. View at Publisher · View at Google Scholar · View at Scopus
  23. D. Lian, “The real transformations of quaternion vector and matrix,” Journal of XiaMen University, vol. 42, no. 6, 2003. View at Google Scholar
  24. J. B. Kuipers, Quaternions and Rotations Sequences: A Primer with Applications to Orbits, Aerospace, and Virtual Reality, Princeton University Press, 1999.
  25. A. G. Schache, P. Blanch, and D. Rath, “Three-dimensional angular kinematics of the lumbar spine and pelvis during running,” Human Movement Science, vol. 21, pp. 273–293, 2002. View at Publisher · View at Google Scholar · View at Scopus
  26. J. P. Hallorana, A. J. Petrellab, and P. J. Rullkoettera, “Explicit finite element modeling of total knee replacement mechanics,” Journal of Biomechanics, vol. 38, pp. 323–331, 2005. View at Publisher · View at Google Scholar · View at Scopus