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A Long Short-Term Memory-Based Interconnected Architecture for Classification of Grasp Types Using Surface-Electromyography Signals
ArticleAbstract: Reliable classification of grasp types from human limbs has become an important aspect used by appliPalabras claves:Bidirectional LSTM networks, biomedical signal processing, classification algorithms, Computer Architecture, deep learning, Electromyography, Feature Extraction, grasp types classification, Muscles, surface muscular signals, time series analysisAutores:Andres Erazo, Ko S.B.Fuentes:scopusPhysiCan - a device for automatic CPM exercises implementation over canines: Design and analysis
ArticleAbstract: Continuous Passive Motion (CPM) devices have been used to assist physicians conducting human rehabilPalabras claves:Canine rehabilitation, Continuous-passive-motion exercises, Electromyography, mobile app, Powered orthosisAutores:Andres Erazo, Choi Y., Jumbo M., Ko S.B., R. Esparza, S. CisnerosFuentes:scopus