Myoelectric Prosthesis Using Sensor Fusion Between Electromyography and Pulse Oximetry Signals
Published in Journal Européen des Systèmes Automatisés, 2023
This paper titled “Myoelectric Prosthesis Using Sensor Fusion Between Electromyography and Pulse Oximetry Signals” was published in the Journal Européen des Systèmes Automatisés in August 2023. The research focuses on an innovative myoelectric prosthesis that integrates electromyography (EMG) and pulse oximetry (PPG) signals for controlling an upper limb prosthesis.
The model used for controlling the prosthesis achieved an impressive 93% accuracy in predicting user movement intentions, based on AI-powered analysis of the bioelectric signals. This was implemented using an ESP32 C3 DevKit-M1 development board to create a low-cost, functional prosthetic solution.
The article also discusses the challenges and solutions related to the design and signal processing stages, including the fusion of EMG and PPG signals to enhance prosthetic control. The paper highlights the advantages of this approach, such as improved mobility and precision compared to traditional prosthetics.
Recommended citation: Torres, K., Espinoza, J., Asanza, V., Lorente-Leyva, L., Peluffo-Ordóñez, D. (2023). "Myoelectric Prosthesis Using Sensor Fusion Between Electromyography and Pulse Oximetry Signals." Journal Européen des Systèmes Automatisés, 56(4), 641-649.
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