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Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials
Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems. Recently, there has been progress in developing control schemes for soft exosuits...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652996/ https://www.ncbi.nlm.nih.gov/pubmed/36369025 http://dx.doi.org/10.1186/s12984-022-01098-0 |
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author | Tacca, Nicholas Nassour, John Ehrlich, Stefan K. Berberich, Nicolas Cheng, Gordon |
author_facet | Tacca, Nicholas Nassour, John Ehrlich, Stefan K. Berberich, Nicolas Cheng, Gordon |
author_sort | Tacca, Nicholas |
collection | PubMed |
description | Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems. Recently, there has been progress in developing control schemes for soft exosuits that move in line with user intentions. While initial results have demonstrated sufficient device performance, the assessment of user experience via the cognitive response has yet to be evaluated. To address this, we propose a soft pneumatic elbow exosuit designed based on our previous work to provide assistance in line with user expectations utilizing two existing state-of-the-art control methods consisting of a gravity compensation and myoprocessor based on muscle activation. A user experience study was conducted to assess whether the device moves naturally with user expectations and the potential for device acceptance by determining when the exosuit violated user expectations through the neuro-cognitive and motor response. Brain activity from electroencephalography (EEG) data revealed that subjects elicited error-related potentials (ErrPs) in response to unexpected exosuit actions, which were decodable across both control schemes with an average accuracy of 76.63 ± 1.73% across subjects. Additionally, unexpected exosuit actions were further decoded via the motor response from electromyography (EMG) and kinematic data with a grand average accuracy of 68.73 ± 6.83% and 77.52 ± 3.79% respectively. This work demonstrates the validation of existing state-of-the-art control schemes for soft wearable exosuits through the proposed soft pneumatic elbow exosuit. We demonstrate the feasibility of assessing device performance with respect to the cognitive response through decoding when the device violates user expectations in order to help understand and promote device acceptance. |
format | Online Article Text |
id | pubmed-9652996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96529962022-11-15 Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials Tacca, Nicholas Nassour, John Ehrlich, Stefan K. Berberich, Nicolas Cheng, Gordon J Neuroeng Rehabil Research Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems. Recently, there has been progress in developing control schemes for soft exosuits that move in line with user intentions. While initial results have demonstrated sufficient device performance, the assessment of user experience via the cognitive response has yet to be evaluated. To address this, we propose a soft pneumatic elbow exosuit designed based on our previous work to provide assistance in line with user expectations utilizing two existing state-of-the-art control methods consisting of a gravity compensation and myoprocessor based on muscle activation. A user experience study was conducted to assess whether the device moves naturally with user expectations and the potential for device acceptance by determining when the exosuit violated user expectations through the neuro-cognitive and motor response. Brain activity from electroencephalography (EEG) data revealed that subjects elicited error-related potentials (ErrPs) in response to unexpected exosuit actions, which were decodable across both control schemes with an average accuracy of 76.63 ± 1.73% across subjects. Additionally, unexpected exosuit actions were further decoded via the motor response from electromyography (EMG) and kinematic data with a grand average accuracy of 68.73 ± 6.83% and 77.52 ± 3.79% respectively. This work demonstrates the validation of existing state-of-the-art control schemes for soft wearable exosuits through the proposed soft pneumatic elbow exosuit. We demonstrate the feasibility of assessing device performance with respect to the cognitive response through decoding when the device violates user expectations in order to help understand and promote device acceptance. BioMed Central 2022-11-11 /pmc/articles/PMC9652996/ /pubmed/36369025 http://dx.doi.org/10.1186/s12984-022-01098-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tacca, Nicholas Nassour, John Ehrlich, Stefan K. Berberich, Nicolas Cheng, Gordon Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
title | Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
title_full | Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
title_fullStr | Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
title_full_unstemmed | Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
title_short | Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
title_sort | neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652996/ https://www.ncbi.nlm.nih.gov/pubmed/36369025 http://dx.doi.org/10.1186/s12984-022-01098-0 |
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