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Influence of multiple dynamic factors on the performance of myoelectric pattern recognition.

, , and . EMBC, page 1679-1682. IEEE, (2015)

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Intelligent driver drowsiness detection system using Uncorrelated Fuzzy Locality Preserving Analysis., , , and . IROS, page 4608-4614. IEEE, (2011)Feature Subset Selection Using Differential Evolution., , and . ICONIP (1), volume 5506 of Lecture Notes in Computer Science, page 103-110. Springer, (2008)Electromyogram (EMG) feature reduction using Mutual Components Analysis for multifunction prosthetic fingers control., and . ICARCV, page 1534-1539. IEEE, (2012)Deep Learning Inspired Feature Engineering for Classifying Tremor Severity., , , , , and . IEEE Access, (2022)Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems., , , , and . IEEE Trans. Biomed. Eng., 70 (5): 1516-1527 (May 2023)Application of biosignal-driven intelligent systems for multifunction prosthesis control. University of Technology Sydney, Australia, (2010)Deep Scattering Transform with Attention Mechanisms Improves EMG-based Hand Gesture Recognition., , , and . EMBC, page 1-4. IEEE, (2023)Cardinality and Short-Term Memory Concepts based Novel Feature Extraction for Myoelectric Pattern Recognition., , , and . EMBC, page 708-712. IEEE, (2021)Myoelectric feature extraction using temporal-spatial descriptors for multifunction prosthetic hand control., , , and . EMBC, page 1696-1699. IEEE, (2016)Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking., , , , , and . Expert Syst. Appl., 40 (9): 3803-3812 (2013)