Influence of Robotic Therapy on Severe Stroke Patients.

Yolanda Vales, Jose M Catalan, Arturo Bertomeu-Motos, Jose V Garcia-Perez, Luis D Lledo, Andrea Blanco-Ivorra, Camila A Marzo, Gemma Mas, Nicolas Garcia-Aracil
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Abstract

Robotic rehabilitation has emerged as a promising approach to enhance motor recovery after stroke, but there is limited knowledge about its efficacy in individuals who have experienced severe stroke. The study presented in this paper aims to analyze the effect of robotic therapy on the recovery of patients with severe stroke when combined with conventional rehabilitation therapies, and we want to observe whether there is a relationship between the clinical assessment provided by the therapist and the data recorded by the robotic device. Participants were divided into an experimental group and a control group, both receiving 15 sessions of conventional therapy in three consecutive weeks, but the experimental group underwent three out of five sessions per week with a robotic device. Both groups were evaluated using clinical scales, and in addition the experimental group was evaluated using an assessment game incorporated in the robotic device that provides session data such as the level of assistance needed by each user to complete the activity, or the score obtained in the game. These preliminary results showed that patients who received robot-assisted therapy had better motor function recovery compared to those who only received conventional therapy. In addition, it is also observed that the robot assistance needed by patients in the experimental group decreased as the sessions progressed, suggesting that robot-assisted therapy could be an effective tool for severe stroke patients.

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机器人治疗对严重脑卒中患者的影响。
机器人康复已成为增强中风后运动恢复的一种很有前途的方法,但对其在严重中风患者中的疗效知之甚少。本文提出的研究旨在分析机器人治疗与传统康复治疗相结合对严重中风患者康复的影响,我们希望观察治疗师提供的临床评估与机器人设备记录的数据之间是否存在关系。参与者被分为实验组和对照组,两组在连续三周内接受了15次常规治疗,但实验组每周使用机器人设备进行五次治疗中的三次。两组均使用临床量表进行评估,此外,实验组还使用机器人设备中包含的评估游戏进行评估,该游戏提供会话数据,如每个用户完成活动所需的辅助水平或游戏中获得的分数。这些初步结果表明,与只接受常规治疗的患者相比,接受机器人辅助治疗的患者运动功能恢复更好。此外,还观察到,实验组患者所需的机器人辅助随着疗程的进行而减少,这表明机器人辅助治疗可能是治疗严重中风患者的有效工具。
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Individualized Three-Dimensional Gait Pattern Generator for Lower Limbs Rehabilitation Robots. Individualized Training of Back Muscles Using Iterative Learning Control of a Compliant Balance Board. Influence of Robotic Therapy on Severe Stroke Patients. INSPIIRE - A Modular and Passive Exoskeleton to Investigate Human Walking and Balance. Instrumented Upper Limb Functional Assessment Using a Robotic Exoskeleton: Normative References Intervals.
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