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 prosthetic components. However, only a very small fraction published research includes use community settings. The cost, limited battery life, poor generalisation may be main reasons limiting implementation home-based applications. In this work, we introduce cost-effective Arduino-based myoelectric system with wearable electromyogram (EMG) sensors. considerations focused on home studies, so robustness, user-friendly adjustments, user supports were concerns. Three algorithms, namely, direct control, abstract linear discriminant analysis (LDA) classification, implemented system. paper, will share our principles report continuous operation laboratory. addition, show first real-time decoder for an able-bodied participant.