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Movement imagery classification in EMOTIV cap based system by Naïve Bayes.

, and . EMBC, page 4435-4438. IEEE, (2016)

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Novel method to characterize upper-limb movements based on paraconsistent logic and myoelectric signals., , and . EMBC, page 395-398. IEEE, (2016)Using non-iterative methods and random weight networks to classify upper-limb movements through sEMG signals., , and . EMBC, page 2047-2050. IEEE, (2017)Virtual Sensor of Surface Electromyography in a New Extensive Fault-Tolerant Classification System., and . Sensors, 18 (5): 1388 (2018)Actor-Critic Reinforcement Learning Based Algorithm for Contaminant Type Identification in Surface Electromyography Data*., , and . EMBC, page 186-189. IEEE, (2021)An Automatic Cycling Performance Classifier System Based on the Crank Arm Force Measurement Data., , and . EMBC, page 4237-4240. IEEE, (2018)sEMG feature selection and classification using SVM-RFE., , , , and . EMBC, page 390-393. IEEE, (2017)Portable electrocardiograph through android application., , and . EMBC, page 6780-6783. IEEE, (2015)Spiking Neural Networks Diagnosis of ADHD subtypes through EEG Signals Evaluation., , , and . EMBC, page 3166-3169. IEEE, (2022)Adaptive neuro-fuzzy logic analysis based on myoelectric signals for multifunction prosthesis control., and . EMBC, page 7888-7891. IEEE, (2011)Recurrent Neural Network for Contaminant Type Detector in Surface Electromyography Signals., , , and . EMBC, page 3759-3762. IEEE, (2020)