Combining complexity measures of EEG data: multiplying measures reveal previously hidden information

Abstract

Many studies have noted significant differences among human electroencephalograph (EEG) results when participants or patients are exposed to different stimuli, undertaking different tasks, or being affected by conditions such as epilepsy or Alzheimer's disease. Such studies often use only one or two measures of complexity and do not regularly justify their… (More)
DOI: 10.12688/f1000research.6590.1

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