可用性设计:开发和评估用于无监督中风康复的便携式微动触觉手部和前臂训练器

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Frontiers in Neurorobotics Pub Date : 2024-04-04 DOI:10.3389/fnbot.2024.1351700
Raphael Rätz, Alexandre L. Ratschat, Nerea Cividanes-Garcia, Gerard M. Ribbers, Laura Marchal-Crespo
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引用次数: 0

摘要

在中风康复中,简单的机器人设备有可能增加集体疗法的训练剂量,并使出院后在家继续治疗成为可能。然而,我们发现缺乏不仅能改善运动功能,还能解决感觉障碍的便携式、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上举动作,并辅以具有意义的触觉反馈的康复游戏。按照以人为本的设计方法,我们对包括三名治疗师在内的 13 名健康参与者进行了可用性研究。在模拟的无人监督环境中,天真的参与者必须根据书面说明设置和使用设备。我们采用的混合方法包括来自性能指标、标准化问卷和眼动跟踪的定量数据,以及来自半结构化访谈的定性反馈。研究结果表明,该设备总体上易于设置和使用,并具有逼真的触觉反馈。眼动跟踪分析进一步表明,参与者在使用过程中感到安全。此外,这项研究还为今后的改进提供了重要的启示,例如更直观、更舒适的手腕固定,更自然的前倾动作,以及更容易理解的说明。我们的研究强调了在开发过程中进行持续测试的重要性,并为设计用户友好、无监督的神经康复技术以改善感知运动中风康复做出了重要贡献。
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Designing for usability: development and evaluation of a portable minimally-actuated haptic hand and forearm trainer for unsupervised stroke rehabilitation
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.
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来源期刊
Frontiers in Neurorobotics
Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
CiteScore
5.20
自引率
6.50%
发文量
250
审稿时长
14 weeks
期刊介绍: Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
期刊最新文献
A multimodal educational robots driven via dynamic attention. LS-VIT: Vision Transformer for action recognition based on long and short-term temporal difference. Neuro-motor controlled wearable augmentations: current research and emerging trends. Editorial: Assistive and service robots for health and home applications (RH3 - Robot Helpers in Health and Home). A modified A* algorithm combining remote sensing technique to collect representative samples from unmanned surface vehicles.
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