A portable elbow exoskeleton for three stages of rehabilitation

Journal article


Manna, S. and Dubey, V. N. 2019. A portable elbow exoskeleton for three stages of rehabilitation. Journal of Mechanisms and Robotics. 11 (6), p. 065002. https://doi.org/10.1115/1.4044535
AuthorsManna, S. and Dubey, V. N.
Abstract

Patients suffering from stroke need to undergo a standard and intensive rehabilitation therapy. The rehabilitation training consists of three sequential stages: the first stage is controlled joint movement under external actuator, the second stage deals with supporting the movements by providing assistive force, and the last stage provides variety and difficulty to exercises. Most of the exoskeletons developed so far for rehabilitation are restricted to a particular type of activity. Although a few exoskeletons incorporate different modes of rehabilitation, those are software controlled requiring sensory data acquisition and complex control architecture. To bridge this gap, a portable elbow exoskeleton has been developed for delivering three stages of rehabilitation in a single structure without affecting the range of motion and safety features. Use of electric motor and springs have been arranged in the actuation mechanism to minimize the energy consumption. The developed exoskeleton enhances torque to weight ratio compared to existing models, and all the three modes of rehabilitation have been controlled using a single motor.

KeywordsMechanism design; Wearable robots; Exoskeleton; Rehabilitation; Stroke
Year2019
JournalJournal of Mechanisms and Robotics
Journal citation11 (6), p. 065002
PublisherThe American Society of Mechanical Engineers
ISSN1942-4302
Digital Object Identifier (DOI)https://doi.org/10.1115/1.4044535
Official URLhttps://doi.org/10.1115/1.4044535
Publication dates
Print03 Sep 2019
Online08 Oct 2019
Publication process dates
Accepted02 Aug 2019
Deposited07 Jan 2021
Accepted author manuscript
License
File Access Level
Open
Output statusPublished
References

1. Feigin, V. L., Forouzanfar, M. H., Krishnamurthi, R., Mensah, G. A., Connor, M., Bennett, D. A., Moran, A. E., Sacco, R. L., Anderson, L., and Truelsen, T., 2014, “Global and Regional Burden of Stroke During 1990–2010: Findings From the Global Burden of Disease Study 2010,” Lancet, 383(9913), pp. 245–254. 10.1016/s0140-6736(13)61953-4
2. Saka, Ö., McGuire, A., and Wolfe, C., 2009, “Cost of Stroke in the United Kingdom,” Age Ageing, 38(1), pp. 27–32. 10.1093/ageing/afn281
3.Lo, A. C., Guarino, P. D., Richards, L. G., Haselkorn, J. K., Wittenberg, G. F., Federman, D. G., Ringer, R. J., Wagner, T. H., Krebs, H. I., and Volpe, B. T., 2010, “Robot-Assisted Therapy for Long-Term Upper-Limb Impairment After Stroke,” N. Engl. J. Med., 362(19), pp. 1772–1783. 10.1056/NEJMoa0911341
4. Manna, S. K., and Dubey, V. N., 2016, Upper Arm Exoskeleton – What Specifications Will Meet Users’ Acceptability?, Nova Science Publisher, New York, pp. 123–169.
5. Proietti, T., Crocher, V., Roby-Brami, A., and Jarrassé, N., 2016, “Upper-Limb Robotic Exoskeletons for Neurorehabilitation: A Review on Control Strategies,” IEEE Rev. Biomed. Eng., 9, pp. 4–14. 10.1109/RBME.2016.2552201
6. Pineda-Rico, Z., De Lucio, J. A. S., Martinez Lopez, F. J., and Cruz, P., 2016, “Design of an Exoskeleton for Upper Limb Robot-Assisted Rehabilitation Based on Co-Simulation,” J. Vibroeng., 18(5), pp. 3269–3278. 10.21595/jve.2016.16857
7.Chonnaparamutt, W., and Supsi, W., 2016, “SEFRE: Semiexoskeleton Rehabilitation System,” Appl. Bionics Biomech., 2016, pp. 1–12. 10.1155/2016/8306765
8.Beer, R. F., Naujokas, C., Bachrach, B., and Mayhew, D., 2010, “Development and Evaluation of a Gravity Compensated Training Environment for Robotic Rehabilitation of Post-Stroke Reaching,” Proceedings of the 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2010), Scottsdale, AZ, Oct. 19–22, pp. 205–210.
9. Kolář, P., 2013, Clinical Rehabilitation, Rehabilitation Prague School, Prague.
10.Jarrassé, N., Proietti, T., Crocher, V., Robertson, J., Sahbani, A., Morel, G., and Roby-Brami, A., 2014, “Robotic Exoskeletons: A Perspective for the Rehabilitation of arm Coordination in Stroke Patients,” Front. Hum. Neurosci., 8, pp. 1–13. 10.3389/fnhum.2014.00947
11. Wolbrecht, E. T., Chan, V., Reinkensmeyer, D. J., and Bobrow, J. E., 2008, “Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation,” IEEE Trans. Neural Syst. Rehabil. Eng., 16(3), pp. 286–297. 10.1109/TNSRE.2008.918389
12.Maciejasz, P., Eschweiler, J., Gerlach-Hahn, K., Jansen-Troy, A., and Leonhardt, S., 2014, “A Survey on Robotic Devices for Upper Limb Rehabilitation,” J. Neuroeng. Rehabil., 11(1), pp. 1–29. 10.1186/1743-0003-11-3
13.Bhadane, M., Liu, J., Rymer, W. Z., Zhou, P., and Li, S., 2016, “Re-Evaluation of EMG-Torque Relation in Chronic Stroke Using Linear Electrode Array EMG Recordings,” Sci. Rep., 6, pp. 1–10. 10.1038/srep28957
14. Marchal-Crespo, L., and Reinkensmeyer, D. J., 2009, “Review of Control Strategies for Robotic Movement Training After Neurologic Injury,” J. Neuroeng. Rehabil., 6(1), pp. 1–15. 10.1186/1743-0003-6-20
15.Marcheschi, S., Salsedo, F., Fontana, M., and Bergamasco, M., 2011, “Body Extender: Whole Body Exoskeleton for Human Power Augmentation,” Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, May 9–13, pp. 611–616.
16.Manna, S. K., and Dubey, V. N., 2018, “Comparative Study of Actuation Systems for Portable Upper Limb Exoskeletons,” Med. Eng. Phys., 60, pp. 1–13. 10.1016/j.medengphy.2018.07.017
17. Housman, S. J., Le, V., Rahman, T., Sanchez, R. J., and Reinkensmeyer, D. J., 2007, “Arm-Training With T-WREX After Chronic Stroke: Preliminary Results of a Randomized Controlled Trial,” Proceedings of IEEE 10th International Conference on Rehabilitation Robotics (ICORR 2007), Noordwijk, June 13–15, pp. 562–568.
18. Sanchez, R., Reinkensmeyer, D., Shah, P., Liu, J., Rao, S., Smith, R., Cramer, S., Rahman, T., and Bobrow, J., 2004, “Monitoring Functional Arm Movement for Home-Based Therapy After Stroke,” Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2004), San Francisco, CA, Sept. 1–5, pp. 4787–4790.
19.Crea, S., Cempini, M., Moisè, M., Baldoni, A., Trigili, E., Marconi, D., Cortese, M., Giovacchini, F., Posteraro, F., and Vitiello, N., 2016, “A Novel Shoulder-Elbow Exoskeleton With Series Elastic Actuators,” Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob 2016), Singapore, June 26–29, pp. 1248–1253.
20.Van Ham, R., Sugar, T. G., Vanderborght, B., Hollander, K. W., and Lefeber, D., 2009, “Compliant Actuator Designs,” IEEE Rob. Autom. Mag., 16(3), pp. 81–94. 10.1109/MRA.2009.933629

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