Adequate grip ability is important for effective execution of daily living activities. Neurological disorders like stroke that result in muscle weakness, limited strength and poor control often lead to reduced grip ability in the affected limb. Conventional rehabilitation for grip training is often monotonous and subjective. Technology-assisted Virtual Reality (VR)-based rehabilitation offers a motivating environment to the participants for rehabilitation. However, the existing systems need specialized set-up architecture, thereby limiting their accessibility. Furthermore, these systems quantify the functional grip ability based on task performance, and do not explore physiological basis of grip ability. In this work, we develop a VR-based rehabilitation platform integrated with physiology-sensitive biofeedback. The developed platform, Gripx makes use of features extracted from sEMG data collected from upper limb muscles to adaptively provide audio-visual biofeedback through a VR environment. We compare task based performance, physiological indices and clinical measures to evaluate the potential of Gripx . The results of our study with 8 healthy and 12 post-stroke participants show the potential of Gripx to contribute to grip rehabilitation over multiple exposures. This approach of integrating VR-based task design with physiology-sensitive biofeedback helps patients to better assess their physiological responses and enhance the efficacy of rehabilitation.

中文翻译：

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启用虚拟现实的表面肌电图触发握力运动平台的设计

足够的抓地力对于有效执行日常生活活动很重要。中风等神经系统疾病会导致肌肉无力，力量有限和控制不善，通常会导致患肢的抓地力下降。用于握力训练的常规康复通常是单调且主观的。基于技术的虚拟现实（VR）康复服务为参与者的康复提供了激励环境。但是，现有系统需要专门的设置体系结构，从而限制了它们的可访问性。此外，这些系统基于任务绩效来量化功能性抓地力，并且没有探索抓地力的生理基础。在这项工作中，我们开发了一个基于VR的康复平台，并结合了对生理敏感的生物反馈。开发平台格里普斯利用从上肢肌肉收集的sEMG数据中提取的特征，通过VR环境自适应地提供视听生物反馈。我们比较基于任务的表现，生理指标和临床措施，以评估潜在的格里普斯 。我们对8位健康的卒中和12位卒中后参与者进行的研究结果表明，格里普斯有助于多次暴露后的抓地力康复。这种将基于VR的任务设计与对生理敏感的生物反馈相结合的方法，可以帮助患者更好地评估其生理反应并增强康复效果。