Limb position effect in myoelectric control: Strategies for optimisation and standardisation

Key Points

• The aim is to explore the limb position effect in myoelectric control to improve training strategies and standardization.
• Investigated training with multiple limb positions.
• Utilized kinematic data for analysis.
• Developed multi-modal classifiers for dynamic limbs.
• Designed an open-source automated device for dataset standardization.
• High accuracy achieved with trained classifiers using dynamic limb data.
• Reduced training burden noted compared to traditional methods.
• Open-source device facilitates improved data consistency across laboratories.

Abstract