EEG-based motor imagery classification with quantum algorithms
EEG-based motor imagery classification with quantum algorithms is a scholarly work, published in 2024 in ''Expert Systems with Applications''. The main subjects of the publication include quantum, independent component analysis, electroencephalography, artificial intelligence, computer science, computer vision, motor imagery, memristor, brain–computer interface, quantum algorithm, pattern recognition, and algorithm. The paper proposes two methods that effectively exploit quantum processors for electroencephalography-based motor imagery classification.