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Articles

An Efficient FPGA Realization of Seizure Detection from EEG Signal Using Wavelet Transform and Statistical Features

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N. J. Sairamya, M. Joel Premkumar, S. Thomas George & M. S. P. Subathra. (2021) Performance Evaluation of Discrete Wavelet Transform, and Wavelet Packet Decomposition for Automated Focal and Generalized Epileptic Seizure Detection. IETE Journal of Research 67:6, pages 778-798.
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Gouri M.S & K. S. Vijula Grace. (2023) LPOA-DRN: Deep learning based feature fusion and optimization enabled Deep Residual Network for classification of Motor Imagery EEG signals. Signal, Image and Video Processing 17:5, pages 2167-2175.
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Palak Handa, Esha Gupta, Satya Muskan & Nidhi Goel. (2023) A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets . Expert Systems.
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B. Indira Priyadarshini & D. Krishna Reddy. (2022) Adaptive octopus deep transfer learning based epileptic seizure classification on field programmable gate arrays. Evolving Systems 14:3, pages 479-499.
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V. M. Akhil, Rahul Satheesh, M. Ashmi & Charbel D. Tawk. (2023) Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions. IEEE Access 11, pages 129566-129575.
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Derling Jose Mendoza Velazco, Maribel Cecilia Pérez Pirela, Miguel Eduardo Rodríguez Rodríguez & Santiago Andrés Ortiz Montero. (2021) Bloques de concreto con sustitución de residuos sólidos de polietileno de alta densidad. Revista Tecnica De La Facultad De Ingenieria Universidad Del Zulia 44:1, pages 29-35.
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Rijad Sarić, Dejan Jokić, Nejra Beganović, Lejla Gurbeta Pokvić & Almir Badnjević. (2020) FPGA-based real-time epileptic seizure classification using Artificial Neural Network. Biomedical Signal Processing and Control 62, pages 102106.
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S. Thomas George, M.S.P. Subathra, N.J. Sairamya, L. Susmitha & M. Joel Premkumar. (2020) Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform. Biocybernetics and Biomedical Engineering 40:2, pages 709-728.
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Yasser Abd Djawad, David Attwood, Janice Kiely & Richard Luxton. (2019) The application of detrended fluctuation analysis to assess physical characteristics of the human cell line ECV304 following toxic challenges. Sensing and Bio-Sensing Research 23, pages 100269.
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