Zbytniewska Monika, Rinderknecht Mike D, Lambercy Olivier, Barnobi Marco, Raats Joke, Lamers Ilse, Feys Peter, Liepert Joachim, Gassert Roger
IEEE Int Conf Rehabil Robot. 2019 Jun;2019:441-446. doi: 10.1109/ICORR.2019.8779507.
Hand function is often impaired after neurological injuries such as stroke. In order to design patient-specific rehabilitation, it is essential to quantitatively assess those deficits. Current clinical scores cannot provide the required level of detail, and most assessment devices have been developed for the proximal joints of the upper limb. This paper presents a new robotic platform for the assessment of proprioceptive, motor, and sensorimotor hand impairments. A detailed technical evaluation demonstrated the capabilities to render different haptic environments required for a comprehensive assessment battery, and showed that the device is suitable for human interaction due to its ergonomic design. A preliminary study on proprioceptive assessment using a gauge position matching task with one healthy, one stroke, and one multiple sclerosis subject showed that the robotic system is able to rapidly and sensitively quantify proprioceptive deficits, and has the potential to be integrated into the clinical settings.
诸如中风等神经损伤后,手部功能常常受损。为了设计针对特定患者的康复方案,定量评估这些功能缺陷至关重要。目前的临床评分无法提供所需的详细程度,并且大多数评估设备是为上肢近端关节开发的。本文提出了一种用于评估本体感觉、运动和感觉运动手部损伤的新型机器人平台。详细的技术评估证明了该平台具备提供全面评估所需的不同触觉环境的能力,并且因其符合人体工程学的设计表明该设备适用于人机交互。一项使用量具位置匹配任务对一名健康受试者、一名中风患者和一名多发性硬化症患者进行本体感觉评估的初步研究表明,该机器人系统能够快速且灵敏地量化本体感觉缺陷,并且有潜力被整合到临床环境中。