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Yong Tao, Yuanlong Ji, Dongming Han, He Gao and Tianmiao Wang
Existing studies on rehabilitation robots are generally devoted to robot-assisted active rehabilitation training, which is conducive to facilitating muscle and nerve regeneration. However, human?robot interaction (HRI) requires imposing a limit on the wo...
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Tadashi Yamamoto and Toyohiro Hamaguchi
In this study, we aimed to evaluate the effectiveness of a brain robot in rehabilitation that combines motor imagery (MI), robotic motor assistance, and electrical stimulation. Thirteen in-patients with severe post-stroke hemiplegia underwent electroence...
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Nikolaos Kladovasilakis, Ioannis Kostavelis, Paschalis Sideridis, Eleni Koltzi, Konstantinos Piliounis, Dimitrios Tzetzis and Dimitrios Tzovaras
During the last decade, soft robotic systems, such as actuators and grippers, have been employed in various commercial applications. Due to the need to integrate robotic mechanisms into devices operating alongside humans, soft robotic systems concentrate...
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Rytis Maskeliunas, Robertas Dama?evicius, Vidas Raudonis, Au?ra Adomaviciene, Juozas Raistenskis and Julius Gri?kevicius
One of the most difficult components of stroke therapy is regaining hand mobility. This research describes a preliminary approach to robot-assisted hand motion therapy. Our objectives were twofold: First, we used machine learning approaches to determine ...
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Francesco Scotto di Luzio, Francesca Cordella, Marco Bravi, Fabio Santacaterina, Federica Bressi, Silvia Sterzi and Loredana Zollo
The central nervous system (CNS) is able to control a very high number of degrees of freedom to perform complex movements of both upper and lower limbs. However, what strategies the CNS adopts to perform complex tasks are not completely clear and are sti...
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Kai Guo, Jingxin Lu, Chang Liu and Hongbo Yang
As one of the most influential symptoms of daily life after stroke, hand dysfunction has seriously affected the quality of life of patients and families. At present, the commonly used rehabilitation method is to carry out continuous passive training on t...
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Daniela Tarnita, Ionut Daniel Geonea, Doina Pisla, Giuseppe Carbone, Bogdan Gherman, Nicoleta Tohanean, Paul Tucan, Cristian Abrudan and Danut Nicolae Tarnita
This paper presents a dynamic analysis of the ParReEx multibody mechanism, which has been designed for human wrist joint rehabilitation. The starting point of the research is a virtual prototype of the ParReEx multibody mechanism. This model is used to s...
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Nidal Farhat, Pau Zamora, David Reichert, Vicente Mata, Alvaro Page and Angel Valera
We present and validate a computationally efficient lower limb musculoskeletal model for the control of a rehabilitation robot. It is a parametric model that allows the customization of joint kinematics, and it is able to operate in real time. Methods: S...
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Óscar G. Hernández, Vicente Morell, José L. Ramon and Carlos A. Jara
The proposed technology is useful for the estimation of human biomarkers in rehabilitation processes or for any application that needs human pose estimation.
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Ferdaws Ennaiem, Abdelbadiâ Chaker, Med Amine Laribi, Juan Sandoval, Sami Bennour, Abdelfattah Mlika, Lotfi Romdhane and Saïd Zeghloul
This paper deals with the optimal design of a planar cable-driven parallel robot (CDPR), with three degrees of freedom, intended for assisting the patient?s affected upper limb along a prescribed movement. A Qualisys motion capture system was used to rec...
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