Error Augmentation Enhancing Arm Recovery in Individuals With Chronic Stroke

Abdollahi, Farnaz; Lazarro, Emily D. Case; Listenberger, Molly; Kenyon, Robert V.; Kovic, Mark; Bogey, Ross A.; Hedeker, Donald; Jovanovic, Borko; Patton, James L.

doi:10.1177/1545968313498649

Cited by 114 publications

(105 citation statements)

References 35 publications

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“…All included studies, except for one, fell in the definitions we provided a priori for categorizations. Recently, a particular paradigm of HRI (error-augmentation) showed clinical benefits [111], but it did not fit in any of the modalities we described a priori. In this modality, the robot tends to displace the subject’s hand from the optimal trajectory by applying a curl force field to the hand.…”

Section: Resultsmentioning

confidence: 99%

Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review

Basteris

Nijenhuis

Stienen

et al. 2014

J NeuroEngineering Rehabil

303

212

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Robot-mediated post-stroke therapy for the upper-extremity dates back to the 1990s. Since then, a number of robotic devices have become commercially available. There is clear evidence that robotic interventions improve upper limb motor scores and strength, but these improvements are often not transferred to performance of activities of daily living. We wish to better understand why. Our systematic review of 74 papers focuses on the targeted stage of recovery, the part of the limb trained, the different modalities used, and the effectiveness of each. The review shows that most of the studies so far focus on training of the proximal arm for chronic stroke patients. About the training modalities, studies typically refer to active, active-assisted and passive interaction. Robot-therapy in active assisted mode was associated with consistent improvements in arm function. More specifically, the use of HRI features stressing active contribution by the patient, such as EMG-modulated forces or a pushing force in combination with spring-damper guidance, may be beneficial.Our work also highlights that current literature frequently lacks information regarding the mechanism about the physical human-robot interaction (HRI). It is often unclear how the different modalities are implemented by different research groups (using different robots and platforms). In order to have a better and more reliable evidence of usefulness for these technologies, it is recommended that the HRI is better described and documented so that work of various teams can be considered in the same group and categories, allowing to infer for more suitable approaches. We propose a framework for categorisation of HRI modalities and features that will allow comparing their therapeutic benefits.

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Section: Resultsmentioning

confidence: 99%

Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review

Basteris

Nijenhuis

Stienen

et al. 2014

J NeuroEngineering Rehabil

303

212

View full text Add to dashboard Cite

show abstract

“…Now that multisession studies with patients have confirmed the usefulness of error augmentation (Abdollahi et al 2014), it is likely to become a stanArticles dard feature of the next generation of commercial rehabilitation robots.…”

Section: Vive La Résistance: Resistive Controlmentioning

confidence: 99%

Control Strategies and Artificial Intelligence in Rehabilitation Robotics

Novak

Riener

2015

AI Magazine

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Rehabilitation robots physically support and guide a patient's limb during motor therapy, but require sophisticated control algorithms and artificial intelligence to do so. This article provides an overview of the state of the art in this area. It begins with the dominant paradigm of assistive control, from impedance-based cooperative controller through electromyography and intention estimation. It then covers challenge-based algorithms, which provide more difficult and complex tasks for the patient to perform through resistive control and error augmentation. Furthermore, it describes exercise adaptation algorithms that change the overall exercise intensity based on the patient's performance or physiological responses, as well as socially assistive robots that provide only verbal and visual guidance. The article concludes with a discussion of the current challenges in rehabilitation robot software: evaluating existing control strategies in a clinical setting as well as increasing the robot's autonomy using entirely new artificial intelligence techniques.

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“…Bu durum motor-hafıza konsolidasyon sürecinin varlığını desteklemektedir (nöroplastisite). Ön çalışmalar hata augmentation stratejisine dayalı öğrenmenin üst ekstremite rehabilitasyonuna ilave edilmesinin kronik inmeli hastalarda faydalı olabileceğini desteklemektedir (3,18,19).…”

Section: S34unclassified

Robotic Technology for Spinal Cord Injury: Upper Extremity

Çelık¹

2015

Turk J Phys Med Rehab

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Spinal cord injury brings a sudden change in the lives of the affected individuals and causes permanent functional motor limitations. Although this condition has been believed to be refractory to treatment for many years, the life expectancy of affected individual is comparable to that of healthy individuals with the application of new treatment methods. Upper extremity function in tetraplegic patients affects the quality of life. Currently, the use of robots has increased for different treatment alternatives. Robot-mediated rehabilitation includes robot assistance, robotic perturbation, adding virtual reality to robotmediated therapy, and interfacing the brain with a robotic device. The effects of upper extremity robotic rehabilitation, during and following treatment, and their side effects will be discussed along with currently available literature.

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Error Augmentation Enhancing Arm Recovery in Individuals With Chronic Stroke

Abstract: This interactive technology may improve UE motor recovery of stroke-related hemiparesis.

Cited by 114 publications

References 35 publications

Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review

Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review

Control Strategies and Artificial Intelligence in Rehabilitation Robotics

Robotic Technology for Spinal Cord Injury: Upper Extremity

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