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Time Continuity Voting for Electroencephalography (EEG) Classification
2022I concluded that this TCV algorithm has the potential to be a promising algorithm for EEG classifications and discussed the significance and broader impact.
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Personalized Music Emotion Recognition Using Electroencephalography (EEG)
2014 IEEE International Symposium on Multimedia, 2014Emotion recognition of music objects is one of the promising research issues in the field of music information retrieval. Usually, music emotion recognition could be considered as a training/classification problem. However, even if we have a benchmark (a training data with ground truth) and employ effective classification algorithms, music emotion ...
Jia-Lien Hsu +3 more
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Electroencephalography (EEG) in the differential diagnosis of dementia
Journal of Clinical Psychology, 1989Recent technical advances in neurodiagnostic procedures have improved significantly our knowledge of the pathophysiology of a number of disease processes and how they relate to behavioral manifestation. This paper focuses on advances in electroencephalography (EEG) and the implications that this growing body of research has for the diagnosis of ...
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Electroencephalography (EEG) of Human Sleep: Clinical Applications
JAMA: The Journal of the American Medical Association, 1974This monograph describes the normative pattern of electroencephalographic and polygraphic physiological recording of normal human nocturnal sleep and represents work carried out in the authors' laboratory during a period of 13 years. The 6,000 recordings of several hundred subjects span the age range from the neonate to more than 70 years ...
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Synchronization of Chaotic Electroencephalography (EEG) Signals
2022Jessica Zaqueros-Martinez +3 more
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Electroencephalography (EEG) in Neuroergonomics
2006Alan Gevins, Michael E. Smith
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