A Roadmap Towards Standards for Neurally Controlled End Effectors.

Autor: Paek AY; University of Houston Houston TX 77204 USA., Brantley JA; University of Houston Houston TX 77204 USA.; Department of BioengineeringUniversity of Pennsylvania Philadelphia PA 19104 USA., Sujatha Ravindran A; University of Houston Houston TX 77204 USA., Nathan K; University of Houston Houston TX 77204 USA., He Y; University of Houston Houston TX 77204 USA., Eguren D; University of Houston Houston TX 77204 USA., Cruz-Garza JG; University of Houston Houston TX 77204 USA.; Department of Design and Environmental AnalysisCornell University Ithaca NY 14853 USA., Nakagome S; University of Houston Houston TX 77204 USA., Wickramasuriya DS; University of Houston Houston TX 77204 USA., Chang J; University of Houston Houston TX 77204 USA., Rashed-Al-Mahfuz M; University of Houston Houston TX 77204 USA.; Department of Computer Science and EngineeringUniversity of Rajshahi Rajshahi 6205 Bangladesh., Amin MR; University of Houston Houston TX 77204 USA., Bhagat NA; University of Houston Houston TX 77204 USA.; Feinstein Institutes for Medical Research Manhasset NY 11030 USA., Contreras-Vidal JL; University of Houston Houston TX 77204 USA.
Jazyk: angličtina
Zdroj: IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2021 Feb 12; Vol. 2, pp. 84-90. Date of Electronic Publication: 2021 Feb 12 (Print Publication: 2021).
DOI: 10.1109/OJEMB.2021.3059161
Abstrakt: 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.
Databáze: MEDLINE