The result shows an average three-class classification accuracy of 68.6% with BCI competition IV Datasets 2a, which is an encouraging result in motor imagery ...
Li et al. [17] proposed a strategy based on FBCSP combined with a voting mechanism for three-class motor imagery classification, addressing the challenge of ...
Abstract— Common Spatial Pattern (CSP) is an effective algorithm in constructing optimal spatial filters, which is widely used to discriminate two classes ...
Dec 13, 2023 · This study introduces a novel spatial filter-solving paradigm named adaptive spatial pattern (ASP), which aims to minimize the energy intra-class matrix and ...
Missing: Mechanism. | Show results with:Mechanism.
Three-class motor imagery classification based on FBCSP combined with voting mechanism. YükselA. et al. Filter bank common spatio-spectral patterns for motor ...
Aug 24, 2021 · In this paper, we propose a new framework, which includes two parts, feature extraction and classification. Based on local mean decomposition ( ...
In this paper, we study the extraction of features using event-related desynchronization/synchronization techniques to improve the classification accuracy for ...
Missing: Mechanism. | Show results with:Mechanism.
Feb 19, 2023 · This paper develops a single-channel-based convolutional neural network to tackle multi-classification motor imagery tasks.
Li, Three-class motor imagery classification based on FBCSP combined with voting mechanism; Yüksel, Filter bank common spatio-spectral patterns for motor ...
Aug 7, 2023 · In this study, we proposed a label-based channel diversion preprocessing to solve the problem of low real-time classification accuracy.