Design and manufacture of 3D printec myoelectric multi-fingered hand for prosthetic application

Pai, U Jeethesh; Sarath, N P; Sidharth, R; Kumar, Anu P.; Pramod, S; Udupa, Ganesha

doi:10.1109/raha.2016.7931904

Cited by 12 publications

(1 citation statement)

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“…It has different series to match various peripheral devices, and the users can develop systems on built-in libraries. Preliminary studies have reported development of prosthetic control systems on Arduino boards [ 22 , 24 ]. With an open-source integrated development environment (IDE), developers can build the systems easily on the basis of previous designs and utilise modules developed in other projects [ 25 , 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use

Dyson

Nazarpour

2021

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%