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Published in 2020 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1504-1
Abstract: In order to realize the automatic epileptic seizure detection, feature extraction and classification of electroencephalogram (EEG) signals are performed on the interictal, the pre-ictal, and the ictal status of epilepsy patients. There is no effective…
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Keywords:
detection;
detection epileptic;
analysis;
fisher linear ... See more keywords
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Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-019-00363-y
Abstract: In the study of detection of an epileptic seizure using Electroencephalogram (EEG), pattern recognition has been recognised as a valued tool. In this pattern recognition study, the first time the authors have attempted to use…
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Keywords:
epileptic seizure;
detection epileptic;
time;
time domain ... See more keywords
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Published in 2019 at "BioMed Research International"
DOI: 10.1155/2019/5173589
Abstract: Discovering the concealed patterns of Electroencephalogram (EEG) signals is a crucial part in efficient detection of epileptic seizures. This study develops a new scheme based on Douglas-Peucker algorithm (DP) and principal component analysis (PCA) for…
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Keywords:
detection epileptic;
eeg signals;
douglas peucker;
peucker algorithm ... See more keywords
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1
Published in 2023 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.1084061
Abstract: Introduction Epilepsy is a disorder of the central nervous system that is often accompanied by recurrent seizures. World health organization (WHO) estimated that more than 50 million people worldwide suffer from epilepsy. Although electroencephalogram (EEG)…
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Keywords:
seizures eeg;
detection epileptic;
epileptic seizures;
entropy ... See more keywords