A Roadmap Towards Standards for Neurally Controlled End Effectors
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 betwe...
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Language: | English |
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IEEE
2021-01-01
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Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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Online Access: | https://ieeexplore.ieee.org/document/9353987/ |
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author | Andrew Y. Paek Justin A. Brantley Akshay Sujatha Ravindran Kevin Nathan Yongtian He David Eguren Jesus G. Cruz-Garza Sho Nakagome Dilranjan S. Wickramasuriya Jiajun Chang Md Rashed-Al-Mahfuz Md. Rafiul Amin Nikunj A. Bhagat Jose L. Contreras-Vidal |
author_facet | Andrew Y. Paek Justin A. Brantley Akshay Sujatha Ravindran Kevin Nathan Yongtian He David Eguren Jesus G. Cruz-Garza Sho Nakagome Dilranjan S. Wickramasuriya Jiajun Chang Md Rashed-Al-Mahfuz Md. Rafiul Amin Nikunj A. Bhagat Jose L. Contreras-Vidal |
author_sort | Andrew Y. Paek |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-16T11:32:54Z |
format | Article |
id | doaj.art-a65b680a18444570b3a5d997aefc9113 |
institution | Directory Open Access Journal |
issn | 2644-1276 |
language | English |
last_indexed | 2024-12-16T11:32:54Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Open Journal of Engineering in Medicine and Biology |
spelling | doaj.art-a65b680a18444570b3a5d997aefc91132022-12-21T22:33:11ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762021-01-012849010.1109/OJEMB.2021.30591619353987A Roadmap Towards Standards for Neurally Controlled End EffectorsAndrew Y. Paek0https://orcid.org/0000-0001-5467-9280Justin A. Brantley1Akshay Sujatha Ravindran2Kevin Nathan3Yongtian He4https://orcid.org/0000-0002-3700-4406David Eguren5Jesus G. Cruz-Garza6https://orcid.org/0000-0002-8440-6416Sho Nakagome7Dilranjan S. Wickramasuriya8Jiajun Chang9Md Rashed-Al-Mahfuz10Md. Rafiul Amin11https://orcid.org/0000-0003-4680-3071Nikunj A. Bhagat12https://orcid.org/0000-0002-0158-2861Jose L. Contreras-Vidal13https://orcid.org/0000-0002-6499-1208University of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAUniversity of Houston, Houston, TX, USAThe 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.https://ieeexplore.ieee.org/document/9353987/Brain-machine interfaceexoskeletonsprostheticsroboticsstandards |
spellingShingle | Andrew Y. Paek Justin A. Brantley Akshay Sujatha Ravindran Kevin Nathan Yongtian He David Eguren Jesus G. Cruz-Garza Sho Nakagome Dilranjan S. Wickramasuriya Jiajun Chang Md Rashed-Al-Mahfuz Md. Rafiul Amin Nikunj A. Bhagat Jose L. Contreras-Vidal A Roadmap Towards Standards for Neurally Controlled End Effectors IEEE Open Journal of Engineering in Medicine and Biology Brain-machine interface exoskeletons prosthetics robotics standards |
title | A Roadmap Towards Standards for Neurally Controlled End Effectors |
title_full | A Roadmap Towards Standards for Neurally Controlled End Effectors |
title_fullStr | A Roadmap Towards Standards for Neurally Controlled End Effectors |
title_full_unstemmed | A Roadmap Towards Standards for Neurally Controlled End Effectors |
title_short | A Roadmap Towards Standards for Neurally Controlled End Effectors |
title_sort | roadmap towards standards for neurally controlled end effectors |
topic | Brain-machine interface exoskeletons prosthetics robotics standards |
url | https://ieeexplore.ieee.org/document/9353987/ |
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