Optimized Electroencephalogram Preprocessing with Discrete Wavelet Transform and EfficientNet for High-Accuracy Seizure Detection

Vakil A.R. Shetty M. Shetty S. Shetty S. Anand R. Pai S. Rakshitha P.
December 2025 Engineered Science Publisher

Engineered Science
2025 #38

Abnormal neuronal activity in the brain leads to seizures which seriously affect quality of life and can become life-threatening in certain situations. Automatic seizure detection research matters because timely intervention requires early accurate detection. Deep learning achieves high effectiveness in seizure detection while its success relies strongly on how well EEG signals undergo pre-processing. The accuracy and reliability of models require effective pre-processing of raw EEG data because it contains noise and patient variability. The research introduces a deep learning model dedicated to seizure detection while emphasizing advanced pre-processing and flexible adaptability. The model transforms EEG signals into a two-dimensional feature representation to enhance spatial and temporal pattern recognition capabilities. The models modular structure provides adaptability across various hardware platforms which facilitates both optimization processes and custom solutions. The model reached a 93.27 classification accuracy on two seizure datasets when utilizing EfficientNet with DWT showing its powerful generalizability and practical effectiveness in real-world situations.

Deep learning , DWT , EEG , EfficientNet , Seizure

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Department of Master of Computer Applications, NMAM Institute of Technology (NMAMIT), Nitte (Deemed to be University), Karnataka, Nitte, 574110, India
Department of Information Technology, St. Aloysius Institute of Management and Information Technology, Karnataka, Mangaluru, 575022, India
School of Computing, Coventry University (UK), Korgalzhyn Highway, Astana, 00100, Kazakhstan
Department of Neurology, Kasturba Medical College, Karnataka, Mangalore, 575001, India

Department of Master of Computer Applications
Department of Information Technology
School of Computing
Department of Neurology

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026