title: Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal Extraction.
abstract: This paper shows experimental results on electromyography (EMG)-based system control applied to motorized orthoses. Biceps and triceps EMG signals are captured through two biometrical sensors, which are then filtered and processed by an acquisition system. Finally an output/control signal is produced and sent to the actuators, which will then perform the actual movement, using algorithms based on autoregressive (AR) models and neural networks, among others. The research goal is to predict the desired movement of the lower arm through the analysis of EMG signals, so that the movement can be reproduced by an arm orthosis, powered by two linear actuators. In this experiment, best accuracy has achieved values up to 91%, using a fourth-order AR-model and 100ms block length.
authors: Department of Systems Engineering and Automatic Control, University College of Engineering of Vitoria, University of the Basque Country (UPV/EHU), Nieves Cano 12, Vitoria-Gasteiz, Spain.
authors: Aaron
authors: A
authors: Suberbiola
authors: Ekaitz
authors: E
authors: Zulueta
authors: Jose Manuel
authors: JM
authors: Lopez-Guede
authors: Ismael
authors: I
authors: Etxeberria-Agiriano
authors: Manuel
authors: M
authors: Graña
mesh_terms: D000465:Algorithms; D001132:Arm / Q000502:physiology*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009068:Movement / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D016571:Neural Networks, Computer; D009989:Orthotic Devices; D019736:Prostheses and Implants
keywords: EMG; Orthosis; control; power assistance; pressure sensors; prosthesis