Paek Andrew Y, Brantley Justin A, Sujatha Ravindran Akshay, Nathan Kevin, He Yongtian, Eguren David, Cruz-Garza Jesus G, Nakagome Sho, Wickramasuriya Dilranjan S, Chang Jiajun, Rashed-Al-Mahfuz Md, Amin Md Rafiul, Bhagat Nikunj A, Contreras-Vidal Jose L
University of Houston Houston TX 77204 USA.
Department of BioengineeringUniversity of Pennsylvania Philadelphia PA 19104 USA.
IEEE Open J Eng Med Biol. 2021 Feb 12;2:84-90. doi: 10.1109/OJEMB.2021.3059161. eCollection 2021.
The control and manipulation of various types of end effectors such as powered exoskeletons, prostheses, and 'neural' cursors by brain-machine interface (BMI) systems has been the target of many research projects. A seamless "plug and play" interface between any BMI and end effector is desired, wherein similar user's intent cause similar end effectors to behave identically. This report is based on the outcomes of an IEEE Standards Association Industry Connections working group on End Effectors for Brain-Machine Interfacing that convened to identify and address gaps in the existing standards for BMI-based solutions with a focus on the end-effector component. A roadmap towards standardization of end effectors for BMI systems is discussed by identifying current device standards that are applicable for end effectors. While current standards address basic electrical and mechanical safety, and to some extent, performance requirements, several gaps exist pertaining to unified terminologies, data communication protocols, patient safety and risk mitigation.
通过脑机接口(BMI)系统控制和操纵各种类型的末端执行器,如动力外骨骼、假肢和“神经”光标,一直是许多研究项目的目标。人们期望在任何BMI和末端执行器之间实现无缝的“即插即用”接口,即类似的用户意图能使类似的末端执行器表现相同。本报告基于电气和电子工程师协会(IEEE)标准协会关于脑机接口末端执行器的行业联系工作组的成果,该工作组召开会议以识别和解决基于BMI的解决方案现有标准中的差距,重点关注末端执行器组件。通过识别适用于末端执行器的当前设备标准,讨论了BMI系统末端执行器标准化的路线图。虽然当前标准涉及基本的电气和机械安全,并在一定程度上涉及性能要求,但在统一术语、数据通信协议、患者安全和风险缓解方面仍存在一些差距。