Lopes et al., 2022 - Google Patents
Ensemble deep neural network for automatic classification of EEG independent componentsLopes et al., 2022
View PDF- Document ID
- 13045473728261382864
- Author
- Lopes F
- Leal A
- Medeiros J
- Pinto M
- Dourado A
- Dümpelmann M
- Teixeira C
- Publication year
- Publication venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
External Links
Snippet
Objective: Independent component analysis (ICA) is commonly used to remove noisy artifacts from multi-channel scalp electroencephalogram (EEG) signals. ICA decomposes EEG into different independent components (ICs) and then, experts remove the noisy ones …
- 230000001537 neural 0 title abstract description 5
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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