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Trends in rehabilitation robots and their translational research in National Rehabilitation Center, Korea

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Abstract

Robots are expected to play an important role in rehabilitation as rehabilitation robots can provide frequent and repetitive doses during treatment or provide seamless support in daily living activities. However, the research and development results of rehabilitation robots indicate that they are not suitable for clinical applications because of several requirements such as safety, effectiveness, long-term investment, and other barriers between bench and bedside. This paper reviews the current trends in rehabilitation robots and then shares the experience of a translational research for rehabilitation robots in the National Rehabilitation Center (NRC) of Korea during the last three years. The NRC translational research for rehabilitation robots consists of three parts: extramural projects of universities, research institutes, and companies for clinical applications, intramural projects within NRC, and operation of an NRC Robot Gym, i.e., a sharing space between clinicians and engineers. This translational research provides infrastructures for clinicians and engineers conducting studies on rehabilitation robots. NRC is trying to connect robotic technology with clinical application through this translational research. In addition, a novel direction for the next three years is presented. This research will contribute visible results such as boosting the rehabilitation robot industry and improving the quality of life of people with disabilities and senior citizens.

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References

  1. World report on disability. World Health Organization. 2011. http:// www.who.int/disabilities/world_report/2011/report.pdf. Accessed 19 Feb 2016.

  2. Korean Statistical Information Service. http://kosis.kr. Accessed 19 Feb 2016.

  3. Kim S, Lee YH, Hwang JH, Oh MA, Lee MK, Lee NH, Kang DU, Kweon SJ, Oh HK, Yoon SY, Lee SW. Korea people with disability survey report (in Korean). Korea Institute for Health and Social Affairs. 2014. http://stat.mohw.go.kr/front/include/download.jsp?bbsSeq=12&nttSeq=21720&atchSeq=4054. Accessed 19 Feb 2016.

    Google Scholar 

  4. Global rehabilitation robotics market 2015-2019. Technavio. 2014. http://www.technavio.com/report/global-rehabilitation-roboticsmarket-2015-2019. Accessed 19 Feb 2016.

  5. Rehabilitation robots, active prostheses, and exoskeletons: market shares, strategies, and forecasts, worldwide, 2014 to 2020, WinterGreen Research. 2014. http://wintergreenresearch.com/reports/RehabilitationRobots.html. Accessed 19 Feb 2016.

  6. Grosu V, Rodriguez GC, Grosu S, Leu A, Ristic-Durrant D, Vanderborght B, Lefeber D. Real-time physical layer architecture for CORBYS gait rehabilitation robot. Conf Proc IEEE Rehabil Robot. 2015; 1:606–11.

    Google Scholar 

  7. Dollar AM, Herr H. Lower extremity exoskeletons and active orthoses: challenges and state-of-the-art. IEEE Trans Robot. 2008; 24(1):144–58.

    Article  Google Scholar 

  8. Annual report, National Rehabilitation Center (in Korean), Korea. 2014. http://www.nrc.go.kr/nrc/jsp/boardDownload.jsp? board_id=NRC_NOTICE_BOARD&seq=14396&idx=1. Accessed 19 Feb 2016.

  9. Wikipedia, Stroke, https://en.wikipedia.org/wiki/Stroke. Accessed 19 Feb 2016.

  10. Crewe NM, Krause JS. Spinal cord injury. In: Brodwin MG, Siu FW, Howard J, Brodwin ER, editors. Medical, psychosocial and vocational aspects of disability. Athens: Elliott and Fitzpatrick; 2009. pp. 289–304.

    Google Scholar 

  11. Emery AE. The muscular dystrophies. Lancet. 2002; 359(9307): 687–95.

    Article  Google Scholar 

  12. Rosenbaum P, Paneth N, Leviton A, Goldstein M, Bax M, Damiano D, Dan B, Jacobsson B. A report: the definition and classification of cerebral palsy. Dev Med Child Neurol Suppl. 2007; 109:8–14.

    Google Scholar 

  13. Gelb DJ, Oliver E, Gilman S. Diagnostic criteria for Parkinson disease. Arch Neurol. 1999; 56(1):33–9.

    Article  Google Scholar 

  14. Rehabilitation, World Health Organization. http://www.who.int/topics/rehabilitation/en/. Accessed 19 Feb 2016.

  15. ISO 8373:2012, Robots and robotic devices-Vocabulary. International Organization for Standardization. http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber= 55890. Accessed 19 Feb 2016.

  16. Díaz I, Gil JJ, Sánchez E. Lower-limb robotic rehabilitation: literature review and challenges. J Robot. 2011; 759764. doi:10.1155/2011/759764.

    Google Scholar 

  17. Lum PS, Burgar CG, Shor PC, Majmundar M, Van der Loos M. Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke. Arch Phys Med Rehabil. 2002; 83(7):952–9.

    Article  Google Scholar 

  18. Basteris A, Nijenhuis SM, Stienen AH, Buurke JH, Prange GB, Amirabdollahian F. Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review. J Neuroeng Rehabil. 2014; 11:111.

    Google Scholar 

  19. Romer GRBE, Stuyt HJA, Peters A. Cost-savings and economic benefits due to the assistive robotic manipulator (ARM). Conf Proc IEEE Rehabil Robot. 2005; 1:201–4.

    Google Scholar 

  20. Bemelmans R, Gelderblom GJ, Jonker P, de Witte L. Socially assistive robots in elderly care: a systematic review into effects and effectiveness. J Am Med Dir Assoc. 2012; 13(2):114–20.

    Article  Google Scholar 

  21. Armeo therapy concept, Hocoma, https://www.hocoma.com/usa/us/products/armeo/. Accessed 19 Feb 2016.

  22. Hocoma product overview, Hocoma, https://www.hocoma.com/usa/us/products/. Accessed 19 Feb 2016.

  23. Reha technology product, Reha technology, http://www. rehatechnology.com/products.html. Accessed 19 Feb 2016.

  24. Motorika product, Motorika, http://www.motorika.com/?categoryId=90219. Accessed 19 Feb 2016.

  25. Tyrosolution, Tyromotion, http://tyromotion.com/en/products. Accessed 19 Feb 2016.

  26. Knaepen K, Beyl P, Duerinck S, Hagman F, Lefeber D, Meeusen R. Human-robot interaction: kinematics and muscle activity inside a powered compliant knee exoskeleton. IEEE Trans Neural Syst Rehabil Eng. 2014; 22(6):1128–37.

    Article  Google Scholar 

  27. Alamdari A, Krovi V. Robotic physical exercise and system (ROPES): A cable-driven robotic rehabilitation system for lower-extremity motor therapy. Conf Proc ASME Int Des Eng Tech Conf Comput Eng Conf. 2015; 1:1–10.

    Google Scholar 

  28. Li J, Zheng R, Zhang Y, Yao J. iHandRehab: an interactive hand exoskeleton for active and passive rehabilitation. Conf Proc IEEE Rehabil Robot. 2011; 1:1–6.

    Google Scholar 

  29. Casadio M, Sanguineti V, Morasso PG, Arrichiello V. Braccio di Ferro: a new haptic workstation for neuromotor rehabilitation. Technol Health Care. 2006; 14(3):123–42.

    Google Scholar 

  30. Huang FC, Patton JL, Mussa-Ivaldi FA. Negative viscosity can enhance learning of inertial dynamics. Conf Proc IEEE Rehabil Robot. 2009; 1:474–79.

    Google Scholar 

  31. Proficio, Barrett Medical, http://www.barrettmedical.com/. Accessed 19 Feb 2016.

  32. Jung H, Han J, Kim CY, Chun KJ, Jung D, Kim JS, Lim D. Characteristics of center of body mass trajectory and lower extremity joint motion responded by dynamic motions of balance training system. Biomed Eng Lett. 2015; 5(2):92–7.

    Article  Google Scholar 

  33. Biswas D, Cranny A, Rahim AF, Gupta N, Maharatna K, Harris NR, Ortmann S. On the data analysis for classification of elementary upper limb movements. Biomed Eng Lett. 2014; 4(4):403–13.

    Article  Google Scholar 

  34. Parra-Dominguez GS, Snoek J, Taati B, Mihailidis A. Lower body motion analysis to detect falls and near falls on stairs. Biomed Eng Lett. 2015; 5(2):98–108.

    Article  Google Scholar 

  35. Jensen U, Leutheuser H, Hofmann S, Schuepferling B, Suttner G, Seiler K, Kornhuber J, Eskofier BM. A wearable real-time activity tracker. Biomed Eng Lett. 2015; 5(2):147–57.

    Article  Google Scholar 

  36. Lajeunesse V, Vincent C, Routhier F, Careau E, Michaud F. Exoskeletons' design and usefulness evidence according to a systematic review of lower limb exoskeletons used for functional mobility by people with spinal cord injury. Disabil Rehabil Assist Technol. 2015; 4:1–13.

    Google Scholar 

  37. Benson I, Hart K, Tussler D, van Middendorp JJ. Lower-limb exoskeletons for individuals with chronic spinal cord injury: findings from a feasibility study. Clin Rehabil. 2016; 30(1):73–84.

    Article  Google Scholar 

  38. Asselin P, Knezevic S, Kornfeld S, Cirnigliaro C, Agranova-Breyter I, Bauman WA, Spungen AM. Heart rate and oxygen demand of powered exoskeleton-assisted walking in persons with paraplegia. J Rehabil Res Dev. 2015; 52(2):147–58.

    Article  Google Scholar 

  39. Kozlowski AJ, Bryce TN, Dijkers MP. Time and effort required by persons with spinal cord injury to learn to use a powered exoskeleton for assisted walking. Top Spinal Cord Inj Rehabil. 2015; 21(2):110–21.

    Article  Google Scholar 

  40. Hartigan C, Kandilakis C, Dalley S, Clausen M, Wilson E, Morrison S, Etheridge S, Farris R. Mobility outcomes following five training sessions with a powered exoskeleton. Top Spinal Cord Inj Rehabil. 2015; 21(2):93–9.

    Article  Google Scholar 

  41. Chen B, Ma H, Qin L-Y, Gao F, Chan K-M, Law S-W, Qin L, Liao W-H. Recent developments and challenges of lower extremity exoskeletons. J Orthop Transl. 2015; 5:26–37.

    Google Scholar 

  42. Schmidtler J, Knott V, Hölzel C, Bengler K. Human Centered assistance applications for the working environment of the future. Occup Ergon. 2015; 12(3):83–95.

    Article  Google Scholar 

  43. Butler D. Translational research: crossing the valley of death. Nature. 2008; 453(7197):840–2.

    Article  Google Scholar 

  44. Marincola FM. Translational Medicine: A two-way road. J Transl Med. 2003; 1(1):1.

    Article  Google Scholar 

  45. Neuro-Rehabilitation. Balgrist University Hospital. http://www. balgrist.ch/en/Home/Research-and-Education/Paraplegiology/Neuro-Rehabilitation.aspx. Accessed 19 Feb 2016.

  46. The World's First and Only AbilityLab. Rehabilitation Institute of Chicago. http://www.ric.org/thenewric/abilitylab/. Accessed 19 Feb 2016.

  47. Ability Institute of RIC, Rehabilitation Institute of Chicago. http://www.ric.org/the-ability-institute-of-ric/. Accessed 19 Feb 2016.

  48. Motion analysis lab. Spaulding Rehabilitation Hospital. http://srh-mal.net/. Accessed 19 Feb 2016.

  49. Health Collaboratory. University of California at Irvine. http://www.calit2.uci.edu/calit2-building/itemdetail.aspx?cguid=5af4ac55-532b-4e59-acb8-d3bed8fbcca3. Accessed 19 Feb 2016.

  50. Institute of Clinical and Translational Science (ICTS). University of California, Irvine. http://www.icts.uci.edu/. Accessed 19 Feb 2016.

  51. Rubio DM, Schoenbaum EE, Lee LS, Schteingart DE, Marantz PR, Anderson KE, Platt LD, Baez A, Esposito K. Defining translational research: implications for training. Acad Med. 2010; 85(3):470–5.

    Article  Google Scholar 

  52. Bang MS, Kim JB, Kim EJ, Song WK, Kim JY, Cho DY. Status and development strategy of translational research for rehabilitation robot. NRC National Rehabilitation Research Institute Report (In Korean), Korea. 2012. http://www.nrc.go.kr/nrc/jsp/boardDownload.jsp?board_id=NRC_NOTICE_BOARD &seq=14176&idx=1. Accessed 19 Feb 2016.

    Google Scholar 

  53. Jeong U, In H, Lee H, Kang BB, Cho K-J. Investigation on the control strategy of soft wearable robotic hand with slack enabling tendon actuator. Conf Proc IEEE Robot Autom. 2015; 1:5004–9.

    Google Scholar 

  54. Park J-H, Lee K-S, Lee H, Park H-S. Development of a passive shoulder joint tracking device for upper limb rehabilitation robots. Conf Proc IEEE Rehabil Robot. 2015; 1:713–6.

    Google Scholar 

  55. Kim YJ, Park SW, Yeom HG, Bang MS, Kim JS, Chung CK, Kim S. A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals. Biomed Eng Online. 2015; 14(1):81.

    Article  Google Scholar 

  56. Jung S, An K-O, Kim J, Kim H. Mechanism and kinematic analysis of a robotic gadget for assisting hand movements of persons with severe disabilities to promote their community participation. Conf Proc IEEE Control Autom Syst. 2014; 1:1594–9.

    Google Scholar 

  57. Cheeran B, Cohen L, Dobkin B, Ford G, Greenwood R, Howard D, Husain M, Macleod M, Nudo R, Rothwell J, Rudd A, Teo J, Ward N, Rudd A. The future of restorative neurosciences in stroke: driving the translational research pipeline from basic science to rehabilitation of people after stroke. Neurorehabil Neural Repair. 2009; 23(2):97–107.

    Article  Google Scholar 

  58. Van der Linde RQ, Lammertse P, Frederiksen E, Ruiter B. The HapticMaster, a new high-performance haptic interface. Conf Proc Eurohaptics. 2002; 1:1–5.

    Google Scholar 

  59. Khasnabis C, Mirza Z, MacLachian M. Opening the GATE to inclusion for people with disabilities. Lancet. 2015; 386(10010): 2229–30.

    Article  Google Scholar 

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Song, WK. Trends in rehabilitation robots and their translational research in National Rehabilitation Center, Korea. Biomed. Eng. Lett. 6, 1–9 (2016). https://doi.org/10.1007/s13534-016-0211-9

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