[Abstract+References] Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation

Abstract

Robot assisted rehabilitation training is a promising tool for post-stroke patients’ recovery, and some new challenges are imposed on robot design, control, and clinical evaluation. This paper presents a novel upper limb rehabilitation robot that can provide safe and compliant force feedbacks to the patient for the benefits of its stiff and low-inertia parallel structure, highly backdrivable capstan-cable transmission, and impedance control method in the workspace. The “assist-as-needed” (AAN) clinical training principle is implemented through the “virtual tunnel” force field design, the “assistance threshold” strategy, as well as the virtual environment training games, and preliminary clinical results show its effectiveness for motor relearning for both acute and chronic stroke patients, especially for coordinated movements of shoulder and elbow.

Supplementary material

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Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation

11432_2017_9076_MOESM2_ESM.mp4 (96.2 mb)

Supplementary material, approximately 96.2 MB.

11432_2017_9076_MOESM3_ESM.mp4 (43.6 mb)

Supplementary material, approximately 43.6 MB.

References

1. 1.
   Ouellette M M, LeBrasseur N K, Bean J F, et al. High-intensity resistance training improves muscle strength, selfreported function, and disability in long-term stroke survivors. Stroke, 2004, 35: 1404–1409CrossRefGoogle Scholar
2. 2.
   Riener R, Nef T, Colombo G. Robot-aided neurorehabilitation of the upper extremities. Med Biol Eng Comput, 2005, 43: 2–10CrossRefGoogle Scholar
3. 3.
   Marchal-Crespo L, Reinkensmeyer D J. Review of control strategies for robotic movement training after neurologic injury. J Neuro Eng Rehabil, 2009, 6: 20CrossRefGoogle Scholar
4. 4.
   Peng L, Hou Z G, Wang W Q. Synchronous active interaction control and its implementation for a rehabilitation robot. Acta Autom Sin, 2015, 41: 1837–1846Google Scholar
5. 5.
   Reinkensmeyer D J, Wolbrecht E, Bobrow J. A computational model of human-robot load sharing during robot-assisted arm movement training after stroke. In: Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, 2007. 4019–4023Google Scholar
6. 6.
   Peng L, Hou Z G, Peng L, et al. Design of CASIA-ARM: a novel rehabilitation robot for upper limbs. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, 2015. 5611–5616Google Scholar
7. 7.
   Minh H V, Joo N U. Tele-operation of a 6-dof serial robot using a new 6-dof haptic interface. In: Proceedings of IEEE International Symposium on Haptic Audio-Visual Environments and Games (HAVE), Phoenix, 2010. 1–6Google Scholar
8. 8.
   Buerger S P, Palazzolo J J, Krebs H I, et al. Rehabilitation robotics: adapting robot behavior to suit patient needs and abilities. In: Proceedings of the American Control Conference (ACC), Boston, 2004. 3239–3244Google Scholar
9. 9.
   Peng L, Hou Z G, Wang W Q, et al. Dynamic modeling and control of a parallel upper-limb rehabilitation robot. In: Proceedings of IEEE International Conference on Rehabilitation Robotics (ICORR), Singapore, 2015. 532–537Google Scholar
10. 10.
    Lo A C, Guarino P D, Richards L G, et al. Robot-assisted therapy for long-term upper-limb impairment after stroke. New Engl J Med, 2010, 362: 1772–1783CrossRefGoogle Scholar
11. 11.
    Krebs H I, Palazzolo J J, Dipietro L, et al. Rehabilitation robotics: performance-based progressive robot-assisted therapy. Auton Robots, 2003, 15: 7–20CrossRefGoogle Scholar
12. 12.
    Hogan N. Impedance control: an approach to manipulation. In: Proceedings of American Control Conference (ACC), San Diego, 1984. 304–313Google Scholar
13. 13.
    Gil J J, Avello A, Rubio A, et al. Stability analysis of a 1 DOF haptic interface using the Routh-Hurwitz criterion. IEEE Trans Contr Syst Technol, 2004, 12: 583–588CrossRefGoogle Scholar
14. 14.
    Klamroth-Marganska V, Blanco J, Campen K, et al. Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial. Lancet Neurology, 2014, 13: 159–166CrossRefGoogle Scholar

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