Robot-Assisted Rehabilitation for Stroke Patients: A Review of Recent Developments

Agus Budiyono, Retnaningsih Retnaningsih

Abstract


Stroke is a leading cause of disability worldwide, and rehabilitation is a crucial part of the recovery process. Robot-assisted rehabilitation has emerged as a promising approach to improve the outcomes of stroke rehabilitation by providing more intensive and consistent training, and by incorporating feedback and monitoring of patients' progress. This review paper provides an overview of the recent developments in robot-assisted rehabilitation for stroke patients. The paper first describes the different types of robots used in stroke rehabilitation, including exoskeletons, end-effectors, and hybrid devices. It then discusses the various training modalities that can be implemented using these robots, such as assistive, resistive, and adaptive training. The paper also examines the benefits and limitations of robot-assisted rehabilitation, including improved motor function and reduced healthcare costs, as well as challenges related to the integration of robotics with traditional therapy. The review highlights the recent advancements in robot-assisted rehabilitation, such as the development of personalized training programs based on patients' individual characteristics and the integration of virtual reality and gaming elements to enhance patient engagement and motivation. The paper also discusses the potential of robot-assisted rehabilitation to be used in conjunction with other emerging technologies, such as brain-computer interfaces and artificial intelligence. Finally, the paper concludes with a discussion of the future directions of robot-assisted rehabilitation for stroke patients, including the need for more rigorous clinical trials to establish the efficacy of these technologies, and the importance of incorporating patients' and clinicians' perspectives in the design and implementation of robot-assisted rehabilitation programs. Overall, this review highlights the potential of robot-assisted rehabilitation to improve the outcomes of stroke rehabilitation and enhance the quality of life of stroke survivors.

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References


Chang, Won Hyuk, and Yun-Hee Kim. ‘Robot-Assisted Therapy in Stroke Rehabilitation’. Journal of Stroke, vol. 15, no. 3, Korean Stroke Society, 2013, p. 174.

Fasoli, Susan E., et al. ‘Robotic Technology and Stroke Rehabilitation: Translating Research into Practice’. Topics in Stroke Rehabilitation, vol. 11, no. 4, Taylor & Francis, 2004, pp. 11–19.

Gomez-Rodriguez, Manuel, et al. ‘Towards Brain-Robot Interfaces in Stroke Rehabilitation’. 2011 IEEE International Conference on Rehabilitation Robotics, IEEE, 2011, pp. 1–6.

Ho, N. S. K., et al. ‘An EMG-Driven Exoskeleton Hand Robotic Training Device on Chronic Stroke Subjects: Task Training System for Stroke Rehabilitation’. 2011 IEEE International Conference on Rehabilitation Robotics, IEEE, 2011, pp. 1–5.

Loureiro, Rui C. V., et al. ‘Advances in Upper Limb Stroke Rehabilitation: A Technology Push’. Medical & Biological Engineering & Computing, vol. 49, Springer, 2011, pp. 1103–1118.

Masiero, Stefano, et al. ‘The Value of Robotic Systems in Stroke Rehabilitation’. Expert Review of Medical Devices, vol. 11, no. 2, Taylor & Francis, 2014, pp. 187–198.

Matarić, Maja J., et al. ‘Socially Assistive Robotics for Post-Stroke Rehabilitation’. Journal of Neuroengineering and Rehabilitation, vol. 4, Springer, 2007, pp. 1–9.

Nef, Tobias, et al. ‘ARMin-Exoskeleton Robot for Stroke Rehabilitation’. World Congress on Medical Physics and Biomedical Engineering, September 7-12. Volume 25/IX of IFMBE Proceedings, 2009, pp. 127–130.

Palazzolo, Jerome J., et al. ‘Stochastic Estimation of Arm Mechanical Impedance during Robotic Stroke Rehabilitation’. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 1, IEEE, 2007, pp. 94–103.

Pellegrino, G., et al. ‘Inter-Hemispheric Coupling Changes Associate with Motor Improvements after Robotic Stroke Rehabilitation’. Restorative Neurology and Neuroscience, vol. 30, no. 6, IOS Press, 2012, pp. 497–510.

Rosati, Giulio. ‘The Place of Robotics in Post-Stroke Rehabilitation’. Expert Review of Medical Devices, vol. 7, no. 6, Taylor & Francis, 2010, pp. 753–758.

Sheng, Bo, et al. ‘Bilateral Robots for Upper-Limb Stroke Rehabilitation: State of the Art and Future Prospects’. Medical Engineering & Physics, vol. 38, no. 7, Elsevier, 2016, pp. 587–606.

Song, Rong, et al. ‘Myoelectrically Controlled Wrist Robot for Stroke Rehabilitation’. Journal of Neuroengineering and Rehabilitation, vol. 10, no. 1, BioMed Central, 2013, pp. 1–8.

Steinisch, Martin, et al. ‘A Post-Stroke Rehabilitation System Integrating Robotics, VR and High-Resolution EEG Imaging’. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 21, no. 5, IEEE, 2013, pp. 849–859.

Straudi, Sofia, et al. ‘tDCS and Robotics on Upper Limb Stroke Rehabilitation: Effect Modification by Stroke Duration and Type of Stroke’. BioMed Research International, vol. 2016, Hindawi, 2016.

Volpe, B. T., et al. ‘A Novel Approach to Stroke Rehabilitation: Robot-Aided Sensorimotor Stimulation’. Neurology, vol. 54, no. 10, AAN Enterprises, 2000, pp. 1938–1944.

Wade, Eric, and Carolee J. Winstein. ‘Virtual Reality and Robotics for Stroke Rehabilitation: Where Do We Go from Here?’ Topics in Stroke Rehabilitation, vol. 18, no. 6, Taylor & Francis, 2011, pp. 685–700.

Weber, Lynne M., and Joel Stein. ‘The Use of Robots in Stroke Rehabilitation: A Narrative Review’. NeuroRehabilitation, vol. 43, no. 1, IOS Press, 2018, pp. 99–110.

Wolf, Steven L., et al. ‘The HAAPI (Home Arm Assistance Progression Initiative) Trial: A Novel Robotics Delivery Approach in Stroke Rehabilitation’. Neurorehabilitation and Neural Repair, vol. 29, no. 10, SAGE Publications Sage CA: Los Angeles, CA, 2015, pp. 958–968.

Zhi, Ying Xuan, et al. ‘Automatic Detection of Compensation during Robotic Stroke Rehabilitation Therapy’. IEEE Journal of Translational Engineering in Health and Medicine, vol. 6, IEEE, 2017, pp. 1–7.




DOI: http://dx.doi.org/10.5281%2Fzenodo.8308186

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