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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
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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 |
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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 |
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