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Journal of Sensors
Volume 2018, Article ID 4548396, 14 pages
https://doi.org/10.1155/2018/4548396
Research Article

Method for Wearable Kinematic Gait Analysis Using a Harmonic Oscillator Applied to the Center of Mass

1Department of Design, Politecnico di Milano, Via Giovanni Durando 38/A, 20158 Milan, Italy
2CNR-IBFM, Via Fratelli Cervi 93, Segrate, 20090 Milan, Italy

Correspondence should be addressed to Marcello Fusca; ti.imilop@acsuf.ollecram

Received 11 September 2017; Revised 2 February 2018; Accepted 1 March 2018; Published 4 April 2018

Academic Editor: Jesus Corres

Copyright © 2018 Marcello Fusca 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. W. Tao, T. Liu, R. Zheng, and H. Feng, “Gait analysis using wearable sensors,” Sensors, vol. 12, no. 2, pp. 2255–2283, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Muro-de-la-Herran, B. Garcia-Zapirain, and A. Mendez-Zorrilla, “Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications,” Sensors, vol. 14, no. 2, pp. 3362–3394, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Patel, H. Park, P. Bonato, L. Chan, and M. Rodgers, “A review of wearable sensors and systems with application in rehabilitation,” Journal of Neuroengineering and Rehabilitation, vol. 9, no. 1, p. 21, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. I. Spulber, E. Papi, Y.-M. Chen et al., “Development of a wireless multi-functional body sensing platform for smart garment integration,” in 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, Lausanne, Switzerland, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. A. Pantelopoulos and N. G. Bourbakis, “A survey on wearable sensor-based systems for health monitoring and prognosis,” IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 40, no. 1, pp. 1–12, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. G. Andreoni, A. Fanelli, I. Witkowska et al., “Sensor validation for wearable monitoring system in ambulatory monitoring: application to textile electrodes,” in 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, pp. 169–175, Venice, Italy, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Mooney, G. Corley, A. Godfrey, L. Quinlan, and G. ÓLaighin, “Inertial sensor technology for elite swimming performance analysis: a systematic review,” Sensors, vol. 16, no. 12, p. 18, 2016. View at Publisher · View at Google Scholar · View at Scopus
  8. G. Andreoni, C. E. Standoli, and P. Perego, “Defining requirements and related methods for designing sensorized garments,” Sensors, vol. 16, no. 6, p. 769, 2016. View at Publisher · View at Google Scholar · View at Scopus
  9. W. Zijlstra and A. L. Hof, “Assessment of spatio-temporal gait parameters from trunk accelerations during human walking,” Gait & Posture, vol. 18, no. 2, pp. 1–10, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. N. A. Capela, E. D. Lemaire, and N. Baddour, “Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation,” Journal of Neuroengineering and Rehabilitation, vol. 12, no. 1, p. 19, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Fusca, P. Perego, and G. Andreoni, “A novel kinematic model for wearable gait analysis,” in eTELEMED 2017: The Ninth International Conference on eHealth, Telemedicine, and Social Medicine, pp. 123–128, Nice, France, 2017.
  12. M. S. Orendurff, A. D. Segal, G. K. Klute, J. S. Berge, E. S. Rohr, and N. J. Kadel, “The effect of walking speed on center of mass displacement,” Journal of Rehabilitation Research & Development, vol. 41, no. 6, pp. 829–834, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Jurcevic Lulic and O. Muftic, “Trajectory of the human body mass centre during walking at different speed,” in DS 30: Proceedings of DESIGN 2002, the 7th International Design Conference, Dubrovnik, 2002.
  14. K. G. Holt, J. Hamill, and R. O. Andres, “The force-driven harmonic oscillator as a model for human locomotion,” Human Movement Science, vol. 9, no. 1, pp. 55–68, 1990. View at Publisher · View at Google Scholar · View at Scopus
  15. R. Takeda, G. Lisco, T. Fujisawa, L. Gastaldi, H. Tohyama, and S. Tadano, “Drift removal for improving the accuracy of gait parameters using wearable sensor systems,” Sensors, vol. 14, no. 12, pp. 23230–23247, 2014. View at Publisher · View at Google Scholar · View at Scopus
  16. V. Renaudin, M. Susi, and G. Lachapelle, “Step length estimation using handheld inertial sensors,” Sensors, vol. 12, no. 12, pp. 8507–8525, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. M. S. Orendurff, J. A. Schoen, G. C. Bernatz, A. D. Segal, and G. K. Klute, “How humans walk: bout duration, steps per bout, and rest duration,” Journal of Rehabilitation Research & Development, vol. 45, no. 7, pp. 1077–1090, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Karabulut, S. E. Crouter, and D. R. Bassett Jr, “Comparison of two waist-mounted and two ankle-mounted electronic pedometers,” European Journal of Applied Physiology, vol. 95, no. 4, pp. 335–343, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. M. S. Orendurff, A. D. Segal, G. K. Klute, J. S. Berge, E. S. Rohr, and N. J. Kadel, “The effect of walking speed on center of mass displacement,” Journal of Rehabilitation Research and Development, vol. 41, no. 6A, pp. 829–834, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. E. M. Gutierrez-Farewik, A. Bartonek, and H. Saraste, “Comparison and evaluation of two common methods to measure center of mass displacement in three dimensions during gait,” Human Movement Science, vol. 25, no. 2, pp. 238–256, 2006. View at Publisher · View at Google Scholar · View at Scopus
  21. R. J. Full and D. E. Koditschek, “Templates and anchors: neuromechanical hypotheses of legged locomotion on land,” Journal of Experimental Biology, vol. 202, pp. 3325–3332, 1999. View at Google Scholar
  22. T. Oberg, A. Karsznia, and K. Oberg, “Basic gait parameters: reference data for normal subjects, 10–79 years of age,” Journal of Rehabilitation Research and Development, vol. 30, no. 2, pp. 210–223, 1993. View at Google Scholar
  23. S. Al-Obaidi, J. C. Wall, A. Al-Yaqoub, and M. Al-Ghanim, “Basic gait parameters: a comparison of reference data for normal subjects 20 to 29 years of age from Kuwait and Scandinavia,” Journal of Rehabilitation Research and Development, vol. 40, no. 4, pp. 361–366, 2003. View at Publisher · View at Google Scholar
  24. J. Mooney, Illustrated Dictionary of Podiatry and Foot Science, Elsevier, 2009.
  25. January 2018, http://www.sxt-telemed.it/Products/Protheo/Protheo.aspx.
  26. R. Moe-Nilssen and J. L. Helbostad, “Estimation of gait cycle characteristics by trunk accelerometry,” Journal of Biomechanics, vol. 37, no. 1, pp. 121–126, 2004. View at Publisher · View at Google Scholar · View at Scopus
  27. S. H. Shin and C. G. Park, “Adaptive step length estimation algorithm using optimal parameters and movement status awareness,” Medical Engineering & Physics, vol. 33, no. 9, pp. 1064–1071, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Köse, A. Cereatti, and U. Della Croce, “Bilateral step length estimation using a single inertial measurement unit attached to the pelvis,” Journal of NeuroEngineering and Rehabilitation, vol. 9, no. 1, p. 9, 2012. View at Publisher · View at Google Scholar · View at Scopus
  29. W. Zijlstra, “Assessment of spatio-temporal parameters during unconstrained walking,” European Journal of Applied Physiology, vol. 92, no. 1–2, pp. 39–44, 2004. View at Publisher · View at Google Scholar · View at Scopus
  30. R. F. González, D. Alvarez, A. M. López, and J. C. Alvarez, “Modified pendulum model for mean step length estimation,” in 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, 2007. View at Publisher · View at Google Scholar · View at Scopus