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Authors = Matthew Dyson ORCID = 0000-0002-8707-0137

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9 pages, 1038 KiB  
Perspective
Co-Creation Facilitates Translational Research on Upper Limb Prosthetics
by Hannah Jones, Sigrid Dupan, Maxford Coutinho, Sarah Day, Deirdre Desmond, Margaret Donovan-Hall, Matthew Dyson, Thea Ekins-Coward, Laurence Kenney, Agamemnon Krasoulis, Doug McIntosh, Kaveh Memarzadeh, Edward Small, Gemma Wheeler, Hancong Wu and Kianoush Nazarpour
Prosthesis 2021, 3(2), 110-118; https://doi.org/10.3390/prosthesis3020012 - 2 Apr 2021
Cited by 12 | Viewed by 6281
Abstract
People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced growth in academic knowledge within the field of upper limb prosthetics. Crucially over the past [...] Read more.
People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced growth in academic knowledge within the field of upper limb prosthetics. Crucially over the past decade, research has acknowledged the limitations of conducting laboratory-based studies for clinical translation. This has led to an increase, albeit rather small, in trials that gather real-world user data. Multi-stakeholder collaboration is critical within such trials, especially between researchers, users, and clinicians, as well as policy makers, charity representatives, and industry specialists. This paper presents a co-creation model that enables researchers to collaborate with multiple stakeholders, including users, throughout the duration of a study. This approach can lead to a transition in defining the roles of stakeholders, such as users, from participants to co-researchers. This presents a scenario whereby the boundaries between research and participation become blurred and ethical considerations may become complex. However, the time and resources that are required to conduct co-creation within academia can lead to greater impact and benefit the people that the research aims to serve. Full article
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13 pages, 27044 KiB  
Communication
Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use
by Hancong Wu, Matthew Dyson and Kianoush Nazarpour
Sensors 2021, 21(3), 763; https://doi.org/10.3390/s21030763 - 24 Jan 2021
Cited by 38 | Viewed by 10475
Abstract
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, [...] Read more.
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. Full article
(This article belongs to the Special Issue On the Applications of EMG Sensors and Signals)
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