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The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis

BACKGROUND: To effectively replace the human hand, a prosthesis should seamlessly respond to user intentions but also convey sensory information back to the user. Restoration of sensory feedback is rated highly by the prosthesis users, and feedback is critical for grasping in able-bodied subjects. N...

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Autores principales: Markovic, Marko, Schweisfurth, Meike A., Engels, Leonard F., Bentz, Tashina, Wüstefeld, Daniela, Farina, Dario, Dosen, Strahinja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870217/
https://www.ncbi.nlm.nih.gov/pubmed/29580245
http://dx.doi.org/10.1186/s12984-018-0371-1
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author Markovic, Marko
Schweisfurth, Meike A.
Engels, Leonard F.
Bentz, Tashina
Wüstefeld, Daniela
Farina, Dario
Dosen, Strahinja
author_facet Markovic, Marko
Schweisfurth, Meike A.
Engels, Leonard F.
Bentz, Tashina
Wüstefeld, Daniela
Farina, Dario
Dosen, Strahinja
author_sort Markovic, Marko
collection PubMed
description BACKGROUND: To effectively replace the human hand, a prosthesis should seamlessly respond to user intentions but also convey sensory information back to the user. Restoration of sensory feedback is rated highly by the prosthesis users, and feedback is critical for grasping in able-bodied subjects. Nonetheless, the benefits of feedback in prosthetics are still debated. The lack of consensus is likely due to the complex nature of sensory feedback during prosthesis control, so that its effectiveness depends on multiple factors (e.g., task complexity, user learning). METHODS: We evaluated the impact of these factors with a longitudinal assessment in six amputee subjects, using a clinical setup (socket, embedded control) and a range of tasks (box and blocks, block turn, clothespin and cups relocation). To provide feedback, we have proposed a novel vibrotactile stimulation scheme capable of transmitting multiple variables from a multifunction prosthesis. The subjects wore a bracelet with four by two uniformly placed vibro-tactors providing information on contact, prosthesis state (active function), and grasping force. The subjects also completed a questionnaire for the subjective evaluation of the feedback. RESULTS: The tests demonstrated that feedback was beneficial only in the complex tasks (block turn, clothespin and cups relocation), and that the training had an important, task-dependent impact. In the clothespin relocation and block turn tasks, training allowed the subjects to establish successful feedforward control, and therefore, the feedback became redundant. In the cups relocation task, however, the subjects needed some training to learn how to properly exploit the feedback. The subjective evaluation of the feedback was consistently positive, regardless of the objective benefits. These results underline the multifaceted nature of closed-loop prosthesis control as, depending on the context, the same feedback interface can have different impact on performance. Finally, even if the closed-loop control does not improve the performance, it could be beneficial as it seems to improve the subjective experience. CONCLUSIONS: Therefore, in this study we demonstrate, for the first time, the relevance of an advanced, multi-variable feedback interface for dexterous, multi-functional prosthesis control in a clinically relevant setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12984-018-0371-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-58702172018-03-29 The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis Markovic, Marko Schweisfurth, Meike A. Engels, Leonard F. Bentz, Tashina Wüstefeld, Daniela Farina, Dario Dosen, Strahinja J Neuroeng Rehabil Research BACKGROUND: To effectively replace the human hand, a prosthesis should seamlessly respond to user intentions but also convey sensory information back to the user. Restoration of sensory feedback is rated highly by the prosthesis users, and feedback is critical for grasping in able-bodied subjects. Nonetheless, the benefits of feedback in prosthetics are still debated. The lack of consensus is likely due to the complex nature of sensory feedback during prosthesis control, so that its effectiveness depends on multiple factors (e.g., task complexity, user learning). METHODS: We evaluated the impact of these factors with a longitudinal assessment in six amputee subjects, using a clinical setup (socket, embedded control) and a range of tasks (box and blocks, block turn, clothespin and cups relocation). To provide feedback, we have proposed a novel vibrotactile stimulation scheme capable of transmitting multiple variables from a multifunction prosthesis. The subjects wore a bracelet with four by two uniformly placed vibro-tactors providing information on contact, prosthesis state (active function), and grasping force. The subjects also completed a questionnaire for the subjective evaluation of the feedback. RESULTS: The tests demonstrated that feedback was beneficial only in the complex tasks (block turn, clothespin and cups relocation), and that the training had an important, task-dependent impact. In the clothespin relocation and block turn tasks, training allowed the subjects to establish successful feedforward control, and therefore, the feedback became redundant. In the cups relocation task, however, the subjects needed some training to learn how to properly exploit the feedback. The subjective evaluation of the feedback was consistently positive, regardless of the objective benefits. These results underline the multifaceted nature of closed-loop prosthesis control as, depending on the context, the same feedback interface can have different impact on performance. Finally, even if the closed-loop control does not improve the performance, it could be beneficial as it seems to improve the subjective experience. CONCLUSIONS: Therefore, in this study we demonstrate, for the first time, the relevance of an advanced, multi-variable feedback interface for dexterous, multi-functional prosthesis control in a clinically relevant setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12984-018-0371-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-27 /pmc/articles/PMC5870217/ /pubmed/29580245 http://dx.doi.org/10.1186/s12984-018-0371-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Markovic, Marko
Schweisfurth, Meike A.
Engels, Leonard F.
Bentz, Tashina
Wüstefeld, Daniela
Farina, Dario
Dosen, Strahinja
The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
title The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
title_full The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
title_fullStr The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
title_full_unstemmed The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
title_short The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
title_sort clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870217/
https://www.ncbi.nlm.nih.gov/pubmed/29580245
http://dx.doi.org/10.1186/s12984-018-0371-1
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