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

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, 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 (L

SUBMITTER: Wu H 

PROVIDER: S-EPMC7866037 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature