2021
DOI: 10.1109/ojemb.2021.3059161
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A Roadmap Towards Standards for Neurally Controlled End Effectors

Abstract: 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-Machin… Show more

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Cited by 10 publications
(6 citation statements)
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References 87 publications
(97 reference statements)
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“…Assessment of motor recovery following rehabilitation with the TWIN-Acta will be the object of future work. Also, novel strategies for maximization of user engagement will be explored, such as brain-driven control ( Paek et al, 2021 ).…”
Section: Discussion and Future Workmentioning
confidence: 99%
“…Assessment of motor recovery following rehabilitation with the TWIN-Acta will be the object of future work. Also, novel strategies for maximization of user engagement will be explored, such as brain-driven control ( Paek et al, 2021 ).…”
Section: Discussion and Future Workmentioning
confidence: 99%
“…The design criteria were based on the recommendations from stakeholder meetings [23][24][25][26]42]. The design choices based on the design factors shown in Figure 1 will be discussed in detail through the following sections.…”
Section: Methodsmentioning
confidence: 99%
“…Prior efforts from the scientific, engineering, medical, regulatory, industrial, and patient-advocate communities [23][24][25][26] have addressed the challenges and opportunities for accelerating the translation of closed-loop BCI systems for medical applications. Some of the key challenges identified in deploying these technologies to end-users include usability, interoperability, accessibility, and mobility, as well as the lack of standards (device, performance, clinical, and end-user metrics).…”
Section: Introductionmentioning
confidence: 99%
“…Translating Brain-Machine Interface (BMI) systems onto real applications requires accepted, well-defined criteria to assess their effectiveness, usability, and safety. Benchmarking, specification, and performance evaluation are perceived as main priorities for standardization in the field [292,303,304]. This workshop discussed translational challenges, and ethical issues of BMI systems, as well as existing initiatives to address them.…”
Section: On the Need Of Good Practices And Standards For Benchmarking...mentioning
confidence: 99%