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Development of an Active Gait Assistive Device with Haptic Information

햅틱 연동 능동 보행보조장치 개발

  • Pyo, Sang-Hun (School of Mechanical and Aerospace Engineering and ReCAPT, Gyeongsang National University) ;
  • Oh, Min-Kyun (Department of Rehabilitation Medicine, Gyeongsang National University Graduate School of Medicine) ;
  • Yoon, Jung-Won (School of Mechanical and Aerospace Engineering and ReCAPT, Gyeongsang National University)
  • 표상훈 (경상대학교 기계항공 공학부) ;
  • 오민균 (경상대학교 병원 재활의학과) ;
  • 윤정원 (경상대학교 기계항공 공학부)
  • Received : 2015.02.15
  • Accepted : 2015.03.15
  • Published : 2015.06.01

Abstract

The purpose of this research is to develop a gait assistive device to enhance the gait stability and training efficiency of stroke patients. The configuration of this device is mainly composed of a motored wheel and a single cane whose lower end is attached to a motored wheel frame. A patient can feel haptic information from continuous ground contact from the wheel while walking through the grip handle. In addition, the wheeled cane can avoid using excessive use of the patient's upper limb for weight support and motivate the patient to use a paralyzed lower limb more actively. Moreover, the proposed device can provide intuitive and safe user interaction by integrating a force sensor and a tilt sensor equipped to the cane frame, and a switch sensor at the cane's handle. The admittance control has been implemented for the patient to change the walking speed intuitively by using the interaction forces at the handle. A hemi-paretic stroke patient participated in the walking assistive experiments as a pilot study to verify the effectiveness of the proposed haptic cane system. The results showed that the patient could improve walking speed and muscle activations during walking with a constant speed mode of the haptic cane. Moreover, the patient could maintain the preferred walking speeds and gait stability regardless of the magnitude of resistance forces with the admittance control mode of the haptic cane. The proposed robotic gait assistive device with a simple and intuitive mechanism can provide efficient gait training modes to stroke patients with high possibilities of widespread utilizations.

Keywords

References

  1. M. E. Brandstater, and L. A. Shutter, "A rehabilitation interventions during acute care of stroke patients," Topics in Stroke Rehabilitation, vol. 9, pp. 48-56, 2002. https://doi.org/10.1310/YGAX-X5VK-NHVD-HGPA
  2. D. C. Good, "Treatment strategies for enhancing motor recovery in stroke rehabilitation," J. Neuro Rehab, vol. 8, no. 4, pp. 177-186, Dec. 1994.
  3. J. Hidler, D. Nichols, M. Pelliccio, K. Brady, D. D. Campbell, J. H. Kahn, and T. G. Hornby, "Multicenter randomized clinical trial evaluating the effectiveness of the lokomat in sub-acute stroke," Neuro rehabilitation and Neural Repair, vol. 23, no. 1, pp. 5-13, Jan. 2009. https://doi.org/10.1177/1545968308326632
  4. J. W. Yoon, B. Novandy, C. Yoon, and K. Park, "A 6-DOF gait rehabilitation robot with upper and lower-limb connections that allows walking velocity updates on various terrains," IEEE/ASME Transaction on Mechatronics, vol. 15, no. 2, pp. 201-215, Apr. 2010. https://doi.org/10.1109/TMECH.2010.2040834
  5. Peshkin, Michael, D.A. Brown, and J.J. Santos-Munne, "KineAssist: A robotic overground gait and balance training device," Proc. of the 9th IEEE International Conference on Rehabilitation Robotics(ICORR 2005), pp. 241-246, 2005.
  6. H. Herr, "Exoskeletons and orthoses: classification, design challenges and future directions," J. Neuro Eng. Rehab., vol. 6, no. 21, pp. 21-29, Jun. 2009. https://doi.org/10.1186/1743-0003-6-21
  7. G. S. Sawicki, K. E. Gordon, and D. P. Ferris, "Powered lower limb orthoses: applications in motor adaptation and rehabilitation," Proc. of the 9th IEEE International Conference on Rehabilitation Robotics(ICORR 2005), pp. 206-211, 2005.
  8. S. H. Pyo, G. S. Kim, and J. W. Yoon, "A Novel Kinematic Design of a Knee Orthosis to Allow Independent Actuations During Swing and Stance Phases," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 8, pp. 814-823, 2011. https://doi.org/10.5302/J.ICROS.2011.17.8.814
  9. Y. Hirata, A. Hara, and K. Kosuge, "Motion control of passive intelligent walker using servo brakes," IEEE Transaction on Mechatronics, vol. 23, no. 5, pp. 981-990, Oct. 2007.
  10. S. Suzuki, Y. Hirata, and K. Kosuge, "Development of intelligent passive cane controlled by servo brakes," Proc. of the 18th IEEE International Symposium on Robot and Human Interactive Communication(RO-MAN 2009), pp. 97-102, 2009.
  11. T. Fukuda, F. Chen, and K. Sekiyama, "Advanced service robotics for human assistance and support," Proc. of International Conference of Advanced Computer Science and Information System (ICACSIS 2011), pp. 25-30, 2011.
  12. Radomski, M. Vining, and C.A.T. Latham, Occupational Therapy for Physical Dysfunction, 6th Ed., Williams & Wilkins, Baltimore, 2007.
  13. F. W. Van Hook, D. Demonbreun, and B. D. Weiss, "Ambulatory devices for chronic gait disorders in the elderly," American Family Physician, vol. 67, no. 8, pp. 1717-1724, Apr. 2003.
  14. R. J. Jaeger, G. M. Yarkony, and E. J. Roth, "Rehabilitation technology for standing and walking after spinal cord injury," American Journal of Physical Medicine & Rehabilitation, vol. 68, no. 3, pp. 128-133, 1989. https://doi.org/10.1097/00002060-198906000-00006
  15. A. Jeremy, Patterson, et al., "Validation of measures from the smartphone sway balance application: a pilot study," International Journal of Sports Physical Therapy, vol. 9, no. 2, Apr. 2014.
  16. J. Yoon, M. R. Afzal, S. Pyo, and M. Oh, "A balance training system using a haptic device and its evaluations," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 9, pp. 971-976, 2014. https://doi.org/10.5302/J.ICROS.2014.14.0007
  17. M. Pohl, J. Mehrholz, C. Ritschel, and S. Ruckriem, "Speeddependent treadmill training in ambulatory hemiparetic stroke patients a randomized controlled trial," Stroke, vol. 33, no. 2, pp. 553-558, Oct. 2002. https://doi.org/10.1161/hs0202.102365
  18. T. C. Bulea, "User-driven control increases cortical activity during treadmill walking: An EEG study," Proc. IEEE 36th Annual International Conference of Engineering in Medicine and Biology Society (EMBC), pp. 2111-2114, 2014.
  19. J. Yoon, H. Park, and D. Damiano, "A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation," Journal of NeuroEngineering and Rehabilitation, vol. 9, no. 62, 2012.
  20. Aguirre-Ollinger, Gabriel, et al., "Inertia compensation control of a one-degree-of-freedom exoskeleton for lower-limb assistance: initial experiments," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 20, no. 1, pp. 68-77, Jan. 2012. https://doi.org/10.1109/TNSRE.2011.2176960
  21. J. J. Jeka and J. R. Lackner, "The role of haptic cues from rough and slippery surfaces in human postural control," Experimental Brain Research, vol. 103, no. 2, pp. 267-276, Mar. 1995.
  22. E. Rabin, et al., "Haptic stabilization of posture: Changes in arm proprioception and cutaneous feedback for different arm orientations," Journal of Neurophysiology, vol. 82, no. 6, pp. 3541-3549, Dec. 1999. https://doi.org/10.1152/jn.1999.82.6.3541