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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Main Authors: 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
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
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.
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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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