Using Permutation Entropy to Measure the Changes in EEG Signals During Absence Seizures
نویسندگان
چکیده
منابع مشابه
Using Permutation Entropy to Measure the Changes in EEG Signals During Absence Seizures
In this paper, we propose to use permutation entropy to explore whether the changes in electroencephalogram (EEG) data can effectively distinguish different phases in human absence epilepsy, i.e., the seizure-free, the pre-seizure and seizure phases. Permutation entropy is applied to analyze the EEG data from these three phases, each containing 100 19-channel EEG epochs of 2 s duration. The exp...
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Permutation entropy (PeEn) is a complexity measure that originated from dynamical systems theory. Specifically engineered to be robustly applicable to real-world data, the quantity has since been utilised for a multitude of time series analysis tasks. In electroencephalogram (EEG) analysis, value changes of PeEn correlate with clinical observations, among them the onset of epileptic seizures or...
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ژورنال
عنوان ژورنال: Entropy
سال: 2014
ISSN: 1099-4300
DOI: 10.3390/e16063049