Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors
- PMID: 16249912
- DOI: 10.1007/s00221-005-0097-8
Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors
Abstract
This investigation is one in a series of studies that address the possibility of stroke rehabilitation using robotic devices to facilitate "adaptive training." Healthy subjects, after training in the presence of systematically applied forces, typically exhibit a predictable "after-effect." A critical question is whether this adaptive characteristic is preserved following stroke so that it might be exploited for restoring function. Another important question is whether subjects benefit more from training forces that enhance their errors than from forces that reduce their errors. We exposed hemiparetic stroke survivors and healthy age-matched controls to a pattern of disturbing forces that have been found by previous studies to induce a dramatic adaptation in healthy individuals. Eighteen stroke survivors made 834 movements in the presence of a robot-generated force field that pushed their hands proportional to its speed and perpendicular to its direction of motion--either clockwise or counterclockwise. We found that subjects could adapt, as evidenced by significant after-effects. After-effects were not correlated with the clinical scores that we used for measuring motor impairment. Further examination revealed that significant improvements occurred only when the training forces magnified the original errors, and not when the training forces reduced the errors or were zero. Within this constrained experimental task we found that error-enhancing therapy (as opposed to guiding the limb closer to the correct path) to be more effective than therapy that assisted the subject.
Similar articles
-
Training the Unimpaired Arm Improves the Motion of the Impaired Arm and the Sitting Balance in Chronic Stroke Survivors.IEEE Trans Neural Syst Rehabil Eng. 2017 Jul;25(7):873-882. doi: 10.1109/TNSRE.2016.2635806. Epub 2016 Dec 5. IEEE Trans Neural Syst Rehabil Eng. 2017. PMID: 28114023
-
Robot-based hand motor therapy after stroke.Brain. 2008 Feb;131(Pt 2):425-37. doi: 10.1093/brain/awm311. Epub 2007 Dec 20. Brain. 2008. PMID: 18156154 Clinical Trial.
-
Arm stiffness during assisted movement after stroke: the influence of visual feedback and training.IEEE Trans Neural Syst Rehabil Eng. 2013 May;21(3):454-65. doi: 10.1109/TNSRE.2012.2226915. Epub 2012 Nov 15. IEEE Trans Neural Syst Rehabil Eng. 2013. PMID: 23193322 Clinical Trial.
-
Effects of robot-aided bilateral force-induced isokinetic arm training combined with conventional rehabilitation on arm motor function in patients with chronic stroke.Arch Phys Med Rehabil. 2007 Oct;88(10):1332-8. doi: 10.1016/j.apmr.2007.07.016. Arch Phys Med Rehabil. 2007. PMID: 17908578
-
Robotics and other devices in the treatment of patients recovering from stroke.Curr Atheroscler Rep. 2004 Jul;6(4):314-9. doi: 10.1007/s11883-004-0064-z. Curr Atheroscler Rep. 2004. PMID: 15191707 Review.
Cited by
-
Neurocognitive mechanisms of error-based motor learning.Adv Exp Med Biol. 2013;782:39-60. doi: 10.1007/978-1-4614-5465-6_3. Adv Exp Med Biol. 2013. PMID: 23296480 Free PMC article. No abstract available.
-
Multijoint arm stiffness during movements following stroke: implications for robot therapy.IEEE Int Conf Rehabil Robot. 2011;2011:5975372. doi: 10.1109/ICORR.2011.5975372. IEEE Int Conf Rehabil Robot. 2011. PMID: 22275576 Free PMC article. Clinical Trial.
-
Neuromotor Noise Is Malleable by Amplifying Perceived Errors.PLoS Comput Biol. 2016 Aug 4;12(8):e1005044. doi: 10.1371/journal.pcbi.1005044. eCollection 2016 Aug. PLoS Comput Biol. 2016. PMID: 27490197 Free PMC article.
-
Real-Time Control of a Multi-Degree-of-Freedom Mirror Myoelectric Interface During Functional Task Training.Front Neurosci. 2022 Mar 11;16:764936. doi: 10.3389/fnins.2022.764936. eCollection 2022. Front Neurosci. 2022. PMID: 35360179 Free PMC article.
-
Ergodicity Reveals Assistance and Learning from Physical Human-Robot Interaction.Sci Robot. 2019 Apr 24;4(29):eaav6079. doi: 10.1126/scirobotics.aav6079. Epub 2019 Apr 17. Sci Robot. 2019. PMID: 31531410 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical