A machine learning approach for epileptic seizure detection using BEMD and long short term memory neural networks Article Swipe
Ranjith Gopalakrishnan
,
Vijay Franklin John Bosco Martin
,
Rajesh Kanna Panner
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1080/09728600.2025.2559654
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1080/09728600.2025.2559654
Many patients are affected by Epilepsy, a prevalent neurological disorder. They are characterised by aberrant signal discharges on EEG (electroencephalogram). Visual examination of EEG recordings is labor-intensive, subjective, and needs substantial improvement as a non-invasive and low-cost method of identifying epileptic seizures. Hence, it is important to identify aberrant signals from large EEG data automatically, a task where CNNs (Convolution Neural Networks) and DL (deep learning) methods have received much attention. They face problems due to the large dimensionalities of data during training. This research work aims to examine the impacts of dimensionality reductions, feature extractions, and EEG signal identifications for seizure detections. BEMD (Bi-dimensional Empirical Mode Decomposition) has been introduced in this work for dimensionality reductions where features based on statistics, frequencies, and nonlinearity are extracted from sub-bands to collect adequate information on EEG signals. The LSTM (Long-Short Term Memory) model classifies EEG signals. In addition, to improve classification accuracy, BEMD reduces data dimensions resulting in reduced feature space. This work’s proposed algorithm was evaluated on CHBMIT Scalp EEG Database in terms of Accuracy, Specificity, Sensitivity, and F1 scores where outcomes showed better performances when compared to other methods for automatic seizure detections.
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A machine learning approach for epileptic seizure detection using BEMD and long short term memory neural networksWork title
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2025Year of publication
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2025-10-02Full publication date if available
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Ranjith Gopalakrishnan, Vijay Franklin John Bosco Martin, Rajesh Kanna PannerList of authors in order
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https://doi.org/10.1080/09728600.2025.2559654Publisher landing page
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https://doi.org/10.1080/09728600.2025.2559654Direct OA link when available
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