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An automated deep learning enabled brain signal classification for epileptic seizure detection on complex measurement systems

Measurement(2022)

Cited 9|Views6
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Abstract
•Propose an ADLBSC-ESD model for brain signal classification and seizure detection.•Propose an efficient feature selection technique using an ITLBO algorithm.•Design a hyperparameter tuned DBN model for the classification of brain signals.•Validate the classifier results on benchmark Epileptic seizure recognition dataset.
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Key words
Brain signals,Classification,Complex measurement,Deep learning,Epileptic seizure,EEG signals
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