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Synopsis
Brain-computer interfaces (BCIs) hold great promise in biomedical engineering, particularly for diagnosing critical diseases. Motor imagery (MI) EEG classification, a key BCI process, faces challenges due to the complexity and non-stationary nature of EEG signals. These signals, recorded via electrodes, are digitized and analyzed using feature extraction techniques like FFT, STFT, CSP, and wavelet transforms, with wavelet transform being the most effective.This study proposes a deep neural network-based classification algorithm with teacher-learning-based optimization for feature refinement. Tested on a standard BCI dataset in MATLAB, the algorithm surpasses Bayesian and ensemble machine learning classifiers, enhancing classification accuracy and BCI system performance.
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Feature Optimization of Motor Imagery EEG Classification using ML (Paperback)
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LAP Lambert Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
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Paperback. Condition: new. Paperback. Brain-computer interfaces (BCIs) hold great promise in biomedical engineering, particularly for diagnosing critical diseases. Motor imagery (MI) EEG classification, a key BCI process, faces challenges due to the complexity and non-stationary nature of EEG signals. These signals, recorded via electrodes, are digitized and analyzed using feature extraction techniques like FFT, STFT, CSP, and wavelet transforms, with wavelet transform being the most effective.This study proposes a deep neural network-based classification algorithm with teacher-learning-based optimization for feature refinement. Tested on a standard BCI dataset in MATLAB, the algorithm surpasses Bayesian and ensemble machine learning classifiers, enhancing classification accuracy and BCI system performance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786205492451
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Feature Optimization of Motor Imagery EEG Classification using ML
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
New
Softcover
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Feature Optimization of Motor Imagery EEG Classification using ML
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
New
PAP
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Feature Optimization of Motor Imagery EEG Classification using ML
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
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PAP
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Feature Optimization of Motor Imagery EEG Classification using ML
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
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Feature Optimization of Motor Imagery EEG Classification using ML
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
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Feature Optimization of Motor Imagery EEG Classification using ML
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
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Feature Optimization of Motor Imagery EEG Classification using ML
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Feature Optimization of Motor Imagery EEG Classification using ML (Paperback)
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Brain-computer interfaces (BCIs) hold great promise in biomedical engineering, particularly for diagnosing critical diseases. Motor imagery (MI) EEG classification, a key BCI process, faces challenges due to the complexity and non-stationary nature of EEG signals. These signals, recorded via electrodes, are digitized and analyzed using feature extraction techniques like FFT, STFT, CSP, and wavelet transforms, with wavelet transform being the most effective.This study proposes a deep neural network-based classification algorithm with teacher-learning-based optimization for feature refinement. Tested on a standard BCI dataset in MATLAB, the algorithm surpasses Bayesian and ensemble machine learning classifiers, enhancing classification accuracy and BCI system performance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9786205492451
Quantity: 1 available
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Feature Optimization of Motor Imagery EEG Classification using ML
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6205492458
ISBN 13: 9786205492451
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
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