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Review
. 2012 Nov;91(11 Suppl 3):S290-7.
doi: 10.1097/PHM.0b013e31826bcd80.

Robotic therapy: the tipping point

Affiliations
Review

Robotic therapy: the tipping point

Herman Igo Krebs et al. Am J Phys Med Rehabil. 2012 Nov.

Abstract

The last two decades have seen a remarkable shift in the neurorehabilitation paradigm. Neuroscientists and clinicians moved away from the perception that the brain is static and hardwired to a new dynamic understanding that plasticity is a fundamental property of the adult human brain and might be harnessed to remap or create new neural pathways. Capitalizing on this innovative understanding, the authors introduced a paradigm shift in the clinical practice in 1989 when they initiated the development of the Massachusetts Institute of Technology-Manus robot for neurorehabilitation and deployed it in the clinic in 1994 (Krebs et al. 1998). Since then, the authors and others have developed and tested a multitude of robotic devices for stroke, spinal cord injury, cerebral palsy, multiple sclerosis, and Parkinson disease. Here, the authors discuss whether robotic therapy has achieved a level of maturity to justify its broad adoption in the clinical realm as a tool for motor recovery.

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Conflict of interest statement

Disclosures:

Financial disclosure statements have been obtained, and no conflicts of interest have been reported by the authors or by any individuals in control of the content of this article.

Figures

Figure 1
Figure 1
VA-Robotics Outcomes. The left column shows the comparison of the first half of the robot training (RT) group with the usual care (UC). The right column shows the comparison of the robot and intensive comparison training (ICT) groups.
Figure 2
Figure 2
Illustration of the Impact of Fixed-Model Selection on the Estimates of 36-Week Outcomes
Figure 3
Figure 3
Clinical Results of Robotic Therapy in Stroke Using Lokomat. Top row shows the results with chronic stroke (enrollment > 6 months post stroke) and the bottom row shows results of subacute stroke trials (enrollment between 3 and 6 months’ post-stroke). Dark gray = conventional gait training, Light gray = Lokomat gait training. * indicates statistically significant between-group differences (p < 0.05).

Comment in

References

    1. Aisen ML, Krebs HI, Hogan N, McDowell F, Volpe BT. The Effect of Robot-Assisted Therapy and Rehabilitative Training on Motor Recovery Following Stroke. Arch Neurol. 1997;54:443–446. - PubMed
    1. Christensen Clayton M. The Innovator's Dilemma : When New Technologies Cause Great Firms to Fail, The Management of Innovation and Change Series. xxiv. Boston, Mass.: Harvard Business School Press; 1997. p. 225.
    1. Christensen Clayton M, Suárez Fernando F, Utterback James M. Strategies for Survival in Fast-Changing Industries, Wp. Cambridge, MA: International Center for Research on the Management of Technology, Sloan School of Management, Massachusetts Institute of Technology; 1996. p. 33.
    1. Dobkin BH. Progressive Staging of Pilot Studies to Improve Phase Iii Trials for Motor Interventions. Neurorehabil Neural Repair. 2009;23:197–206. - PMC - PubMed
    1. Dobkin BH, Duncan PW. Should Body Weight-Supported Treadmill Training and Robotic-Assistive Steppers for Locomotor Training Trot Back to the Starting Gate? Neurorehabil Neural Repair. 2012;26:308–317. - PMC - PubMed

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