Generalized Net Model of Surface EMG Data Processing for Control of Active Elbow Orthosis Device
Konferenz: ANNA '18 - Advances in Neural Networks and Applications 2018
15.09.2018 - 17.09.2018 in St. St. Konstantin and Elena Resort, Bulgaria
Tagungsband: ANNA '18
Seiten: 4Sprache: EnglischTyp: PDF
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Autoren:
Ribagin, Simeon (Department of Bioinformatics and Mathematical Modelling Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria & Department of Health and Social Care, Medical College, University Prof. D-r Asen Zlatarov, Burgas, Bulgaria)
Pencheva, Tania (Department of QSAR and Molecular Modeling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria)
Shannon, Anthony (Warrane College, The University of New South Wales, Kensington, Australia)
Inhalt:
Surface Electromyography (sEMG) signals have been increasingly used in many applications, including biomedical, neuroprosthetic limbs, orthotic or rehabilitation devices, human machine interactions etc. In order to use such signals for the control purposes, a certain processing algorithm has to be performed. This paper presents a novel approach for sEMG data processing with the usage of generalized nets theory. We propose an abstract model representing the sEMG data processing, which can be used in the control frameworks of active elbow orthosis devices.