Rätz Raphael, Ratschat Alexandre L, Cividanes-Garcia Nerea, Ribbers Gerard M, Marchal-Crespo Laura
Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Department of Cognitive Robotics, Delft University of Technology, Delft, Netherlands.
Front Neurorobot. 2024 Apr 4;18:1351700. doi: 10.3389/fnbot.2024.1351700. eCollection 2024.
In stroke rehabilitation, simple robotic devices hold the potential to increase the training dosage in group therapies and to enable continued therapy at home after hospital discharge. However, we identified a lack of portable and cost-effective devices that not only focus on improving motor functions but also address sensory deficits. Thus, we designed a minimally-actuated hand training device that incorporates active grasping movements and passive pronosupination, complemented by a rehabilitative game with meaningful haptic feedback. Following a human-centered design approach, we conducted a usability study with 13 healthy participants, including three therapists. In a simulated unsupervised environment, the naive participants had to set up and use the device based on written instructions. Our mixed-methods approach included quantitative data from performance metrics, standardized questionnaires, and eye tracking, alongside qualitative feedback from semi-structured interviews. The study results highlighted the device's overall ease of setup and use, as well as its realistic haptic feedback. The eye-tracking analysis further suggested that participants felt safe during usage. Moreover, the study provided crucial insights for future improvements such as a more intuitive and comfortable wrist fixation, more natural pronosupination movements, and easier-to-follow instructions. Our research underscores the importance of continuous testing in the development process and offers significant contributions to the design of user-friendly, unsupervised neurorehabilitation technologies to improve sensorimotor stroke rehabilitation.
在中风康复中,简单的机器人设备有潜力增加团体治疗中的训练剂量,并使患者在出院后能够在家中继续接受治疗。然而,我们发现缺乏既注重改善运动功能又能解决感觉缺陷的便携式且经济高效的设备。因此,我们设计了一种微动手部训练设备,该设备结合了主动抓握动作和被动旋前旋后动作,并辅以具有有意义触觉反馈的康复游戏。遵循以人为本的设计方法,我们对13名健康参与者(包括三名治疗师)进行了可用性研究。在模拟的无监督环境中,未经培训的参与者必须根据书面说明设置并使用该设备。我们的混合方法包括来自性能指标、标准化问卷和眼动追踪的定量数据,以及来自半结构化访谈的定性反馈。研究结果突出了该设备在设置和使用上的总体便利性,以及其逼真的触觉反馈。眼动追踪分析进一步表明,参与者在使用过程中感到安全。此外,该研究为未来的改进提供了关键见解,例如更直观、舒适的手腕固定方式、更自然的旋前旋后动作以及更易于遵循的说明。我们的研究强调了在开发过程中持续测试的重要性,并为设计用户友好的、无监督的神经康复技术以改善中风感觉运动康复做出了重大贡献。