Cargando…

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

Paralysis following spinal cord injury (SCI), brainstem stroke, amyotrophic lateral sclerosis (ALS) and other disorders can disconnect the brain from the body, eliminating the ability to carry out volitional movements. A neural interface system (NIS)(1–5) could restore mobility and independence for...

Descripción completa

Detalles Bibliográficos
Autores principales: Hochberg, Leigh R., Bacher, Daniel, Jarosiewicz, Beata, Masse, Nicolas Y., Simeral, John D., Vogel, Joern, Haddadin, Sami, Liu, Jie, Cash, Sydney S., van der Smagt, Patrick, Donoghue, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640850/
https://www.ncbi.nlm.nih.gov/pubmed/22596161
http://dx.doi.org/10.1038/nature11076
_version_ 1782267938441527296
author Hochberg, Leigh R.
Bacher, Daniel
Jarosiewicz, Beata
Masse, Nicolas Y.
Simeral, John D.
Vogel, Joern
Haddadin, Sami
Liu, Jie
Cash, Sydney S.
van der Smagt, Patrick
Donoghue, John P.
author_facet Hochberg, Leigh R.
Bacher, Daniel
Jarosiewicz, Beata
Masse, Nicolas Y.
Simeral, John D.
Vogel, Joern
Haddadin, Sami
Liu, Jie
Cash, Sydney S.
van der Smagt, Patrick
Donoghue, John P.
author_sort Hochberg, Leigh R.
collection PubMed
description Paralysis following spinal cord injury (SCI), brainstem stroke, amyotrophic lateral sclerosis (ALS) and other disorders can disconnect the brain from the body, eliminating the ability to carry out volitional movements. A neural interface system (NIS)(1–5) could restore mobility and independence for people with paralysis by translating neuronal activity directly into control signals for assistive devices. We have previously shown that people with longstanding tetraplegia can use an NIS to move and click a computer cursor and to control physical devices(6–8). Able-bodied monkeys have used an NIS to control a robotic arm(9), but it is unknown whether people with profound upper extremity paralysis or limb loss could use cortical neuronal ensemble signals to direct useful arm actions. Here, we demonstrate the ability of two people with long-standing tetraplegia to use NIS-based control of a robotic arm to perform three-dimensional reach and grasp movements. Participants controlled the arm over a broad space without explicit training, using signals decoded from a small, local population of motor cortex (MI) neurons recorded from a 96-channel microelectrode array. One of the study participants, implanted with the sensor five years earlier, also used a robotic arm to drink coffee from a bottle. While robotic reach and grasp actions were not as fast or accurate as those of an able-bodied person, our results demonstrate the feasibility for people with tetraplegia, years after CNS injury, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.
format Online
Article
Text
id pubmed-3640850
institution National Center for Biotechnology Information
language English
publishDate 2012
record_format MEDLINE/PubMed
spelling pubmed-36408502013-05-01 Reach and grasp by people with tetraplegia using a neurally controlled robotic arm Hochberg, Leigh R. Bacher, Daniel Jarosiewicz, Beata Masse, Nicolas Y. Simeral, John D. Vogel, Joern Haddadin, Sami Liu, Jie Cash, Sydney S. van der Smagt, Patrick Donoghue, John P. Nature Article Paralysis following spinal cord injury (SCI), brainstem stroke, amyotrophic lateral sclerosis (ALS) and other disorders can disconnect the brain from the body, eliminating the ability to carry out volitional movements. A neural interface system (NIS)(1–5) could restore mobility and independence for people with paralysis by translating neuronal activity directly into control signals for assistive devices. We have previously shown that people with longstanding tetraplegia can use an NIS to move and click a computer cursor and to control physical devices(6–8). Able-bodied monkeys have used an NIS to control a robotic arm(9), but it is unknown whether people with profound upper extremity paralysis or limb loss could use cortical neuronal ensemble signals to direct useful arm actions. Here, we demonstrate the ability of two people with long-standing tetraplegia to use NIS-based control of a robotic arm to perform three-dimensional reach and grasp movements. Participants controlled the arm over a broad space without explicit training, using signals decoded from a small, local population of motor cortex (MI) neurons recorded from a 96-channel microelectrode array. One of the study participants, implanted with the sensor five years earlier, also used a robotic arm to drink coffee from a bottle. While robotic reach and grasp actions were not as fast or accurate as those of an able-bodied person, our results demonstrate the feasibility for people with tetraplegia, years after CNS injury, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals. 2012-05-16 /pmc/articles/PMC3640850/ /pubmed/22596161 http://dx.doi.org/10.1038/nature11076 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Hochberg, Leigh R.
Bacher, Daniel
Jarosiewicz, Beata
Masse, Nicolas Y.
Simeral, John D.
Vogel, Joern
Haddadin, Sami
Liu, Jie
Cash, Sydney S.
van der Smagt, Patrick
Donoghue, John P.
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
title Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
title_full Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
title_fullStr Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
title_full_unstemmed Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
title_short Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
title_sort reach and grasp by people with tetraplegia using a neurally controlled robotic arm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640850/
https://www.ncbi.nlm.nih.gov/pubmed/22596161
http://dx.doi.org/10.1038/nature11076
work_keys_str_mv AT hochbergleighr reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT bacherdaniel reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT jarosiewiczbeata reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT massenicolasy reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT simeraljohnd reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT vogeljoern reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT haddadinsami reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT liujie reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT cashsydneys reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT vandersmagtpatrick reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm
AT donoghuejohnp reachandgraspbypeoplewithtetraplegiausinganeurallycontrolledroboticarm