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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time-frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques. The range of applications covers healthcare, emotion, motor imagery, external stimulation, mental workload, and satisfaction.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time-frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques. The range of applications covers healthcare, emotion, motor imagery, external stimulation, mental workload, and satisfaction.