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Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use
Understanding how upper-limb prostheses are used in daily life helps to improve the design and robustness of prosthesis control algorithms and prosthetic components. However, only a very small fraction of published research includes prosthesis use in community settings. The cost, limited battery lif...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866037/ https://www.ncbi.nlm.nih.gov/pubmed/33498801 http://dx.doi.org/10.3390/s21030763 |
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author | Wu, Hancong Dyson, Matthew Nazarpour, Kianoush |
author_facet | Wu, Hancong Dyson, Matthew Nazarpour, Kianoush |
author_sort | Wu, Hancong |
collection | PubMed |
description | Understanding how upper-limb prostheses are used in daily life helps to improve the design and robustness of prosthesis control algorithms and prosthetic components. However, only a very small fraction of published research includes prosthesis use in community settings. The cost, limited battery life, and poor generalisation may be the main reasons limiting the implementation of home-based applications. In this work, we introduce the design of a cost-effective Arduino-based myoelectric control system with wearable electromyogram (EMG) sensors. The design considerations focused on home studies, so the robustness, user-friendly control adjustments, and user supports were the main concerns. Three control algorithms, namely, direct control, abstract control, and linear discriminant analysis (LDA) classification, were implemented in the system. In this paper, we will share our design principles and report the robustness of the system in continuous operation in the laboratory. In addition, we will show a first real-time implementation of the abstract decoder for prosthesis control with an able-bodied participant. |
format | Online Article Text |
id | pubmed-7866037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78660372021-02-07 Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use Wu, Hancong Dyson, Matthew Nazarpour, Kianoush Sensors (Basel) Communication Understanding how upper-limb prostheses are used in daily life helps to improve the design and robustness of prosthesis control algorithms and prosthetic components. However, only a very small fraction of published research includes prosthesis use in community settings. The cost, limited battery life, and poor generalisation may be the main reasons limiting the implementation of home-based applications. In this work, we introduce the design of a cost-effective Arduino-based myoelectric control system with wearable electromyogram (EMG) sensors. The design considerations focused on home studies, so the robustness, user-friendly control adjustments, and user supports were the main concerns. Three control algorithms, namely, direct control, abstract control, and linear discriminant analysis (LDA) classification, were implemented in the system. In this paper, we will share our design principles and report the robustness of the system in continuous operation in the laboratory. In addition, we will show a first real-time implementation of the abstract decoder for prosthesis control with an able-bodied participant. MDPI 2021-01-24 /pmc/articles/PMC7866037/ /pubmed/33498801 http://dx.doi.org/10.3390/s21030763 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Wu, Hancong Dyson, Matthew Nazarpour, Kianoush Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use |
title | Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use |
title_full | Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use |
title_fullStr | Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use |
title_full_unstemmed | Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use |
title_short | Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use |
title_sort | arduino-based myoelectric control: towards longitudinal study of prosthesis use |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866037/ https://www.ncbi.nlm.nih.gov/pubmed/33498801 http://dx.doi.org/10.3390/s21030763 |
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