Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM

Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM

In humans, epilepsy is diagnosed through electroencephalography (EEG) signals. Epileptic seizures (ESs) arise due to anxiety. The detection of anxiety-based seizures is challenging for radiologists, and there is a limited availability of anxiety-based EEG signals. Data augmentation methods are requi...

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Bibliographic Details
Main Authors: Kamini Kamakshi Palanisamy, Arthi Rengaraj
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Brain Sciences
Subjects:
EEG epileptic seizure signals
data augmentation
fuzzy feature extraction
parrot optimization
LSTM classifier
Online Access:https://www.mdpi.com/2076-3425/14/8/848

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https://www.mdpi.com/2076-3425/14/8/848

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