iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://unpaywall.org/10.1007/S11517-006-0132-3
Development of a real-time three-dimensional spinal motion measurement system for clinical practice | Medical & Biological Engineering & Computing Skip to main content
Springer Nature Link
Log in

Development of a real-time three-dimensional spinal motion measurement system for clinical practice

  • Original Article
  • Published:
Medical and Biological Engineering and Computing Aims and scope Submit manuscript

Abstract

This paper presents an inertial based sensing system for real-time three-dimensional measurement of human spinal motion, in a portable and non-invasive manner. Applications of the proposed system range from diagnosis of spine injury to postural monitoring, on-field as well as in the lab setting. The system is comprised of three inertial measurement sensors, respectively attached and calibrated to the head, torso and hips, based on the subject’s anatomical planes. Sensor output is transformed into meaningful clinical parameters of rotation (twist), flexion-extension and lateral bending of each body segment, with respect to calibrated global reference space. Modeling the spine as a compound flexible pole model allows dynamic measurement of three-dimensional spine motion, which can be animated and monitored in real-time using our interactive GUI. The accuracy of the proposed sensing system has been verified with subject trials using a VICON optical motion measurement system. Experimental results indicate an error of less than 3.1° in segment orientation tracking.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22

Similar content being viewed by others

References

  1. Bachmann E, McKinney D, McGhee R, Yun X, Zyda M (2003) Design and implementation of MARG sensors for 3-DOF orientation measurement of rigid bodies. In: Proceedings of IEEE Int Conf on robotics and automation, Taipei, Taiwan, pp 1171–1178

  2. Balan A, Sigal L, Black M (2005) A quantitative evaluation of video-based 3D person tracking. In: Proceedings of IEEE Int Workshop on visual surveillance and performance evaluation of tracking and surveillance, Beijing, China, pp 349–356

  3. Barshan B, Durrant-Whyte H (1995) Inertial navigation systems for mobile robots. IEEE Trans Rob Autom 11(3):328–342

    Article  Google Scholar 

  4. Bonato P (2005) Advances in wearable technology and applications in physical medicine and rehabilitation. J Neuro Eng Rehabil 2:2

    Article  Google Scholar 

  5. Cooper R, Cardan C, Allen R (2001) Computer visualization of the moving human lumbar spine. Comput Biol and Med 31:451–469

    Article  Google Scholar 

  6. Crawford NR, Yamaguchi GT, Dickman CA (1999) A new technique for determining 3-D joint angles: the tilt/twist method. Clin Biomech 14:153–165

    Article  Google Scholar 

  7. Foxlin E (1996) Inertial head tracker sensor fusion by a complementary separate bias Kalman filter. In: Proceedings of IEEE virtual reality annual Int symposium, Santa Clara, CA, pp 185–195

  8. Jovanov E, Milenkovic A, Otto C, de Groen P (2005) A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. J Neuro Eng Rehab 2(6): 1–10

    Google Scholar 

  9. Klein P, Broers C, Feipel V, Salvia P, Van Geyt B, Dugailly PM, Rooze M (2003) Global 3D head-trunk kinematics during cervical spine manipulation at different levels. Clin Biomech 18:827–831

    Article  Google Scholar 

  10. Lee RYW, Laprade J, Fung EHK (2003) A real-time gyroscopic system for 3-D measurement of lumbar spine motion. Med Eng Phys 25:817–824

    Article  Google Scholar 

  11. Luinge HJ, Veltink PH (2005) Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Med Biol Eng Comput 43:273–282

    Article  Google Scholar 

  12. Luinge HJ, Veltink PH, Baten CTM (1999) Estimating orientation with gyroscopes and accelerometers. Technol Health Care 7:455–459

    Google Scholar 

  13. Mayagoitia RE, Nene AV, Veltink PH (2002) Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to motion analysis systems. J Biomech 35(4):537–542

    Article  Google Scholar 

  14. Rehbinder H, Hu X (2004) Drift free attitude estimation for accelerated rigid bodies. Automatica 40:653–659

    Article  MATH  Google Scholar 

  15. Roetenburg D, Luinge HJ, Baten CTM, Veltink PH (2005) Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation. IEEE Trans Neural Syst Rehab Eng 13(3):395–405

    Article  Google Scholar 

  16. Williamson R, Andrews BJ (2001) Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes. Med Biol Eng Comput 39(3):294–302

    Article  Google Scholar 

  17. Zheng Y, Nixon M, Allen R (2003) Lumbar spine visualization based on kinematic analysis from videofluoroscopic imaging. Med Eng Phys 25:171–179

    Article  Google Scholar 

  18. Zhou H, Hu H, Tao Y (2006) Inertial measurements of upper limb motion. Med Biol Eng Comput 44:479–487

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by grants from the Industrial Partnerships program of the British Columbia Innovation Council and the Idea to Innovation (I2I) program of the Natural Sciences and Engineering Research Council of Canada (NSERC). The authors would like to thank Dr. Naznin Virji-Babul of the Centre for Human Movement Analysis (CHUMA) in the Queen Alexandra Centre for Children’s Health for giving them access to the VICON system, and Dr. Timothy Inglis of the University of British Columbia and Jung Keun Lee of the University of Victoria for their constructive comments. They also thank Ed Haslam of the University of Victoria for providing the necessary hardware modification of the VICON system.

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of Victoria, PO Box 3055 STN CSC, Victoria, British Columbia, V8W 3P6, Canada

    Christina Goodvin, Edward J. Park, Kevin Huang & Kelly Sakaki

Authors
  1. Christina Goodvin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Edward J. Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kevin Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kelly Sakaki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Edward J. Park.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Goodvin, C., Park, E.J., Huang, K. et al. Development of a real-time three-dimensional spinal motion measurement system for clinical practice. Med Bio Eng Comput 44, 1061–1075 (2006). https://doi.org/10.1007/s11517-006-0132-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-006-0132-3

Keywords

Search

Navigation