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Automatic detection of non-convulsive seizures: A reduced complexity approach.

, , , , and . J. King Saud Univ. Comput. Inf. Sci., 28 (4): 407-415 (2016)

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Seizure prediction using statistical dispersion measures of intracranial EEG., , , and . Biomed. Signal Process. Control., (2014)Machine Learning for Classification of Antithetical Emotional States., , and . ICCCNT, page 1-6. IEEE, (2022)Dispersion measures and entropy for seizure detection., , and . ICASSP, page 673-676. IEEE, (2011)EEG Analysis of Imagined Speech., , , and . Int. J. Rough Sets Data Anal., 3 (2): 32-44 (2016)A Novel Wavelet Approach for Multiclass iEEG Signal Classification in Automated Diagnosis of Epilepsy., , and . IEEE Trans. Instrum. Meas., (2022)Wavelet-based, speaker-independent isolated Hindi digit recognition., , , and . Int. J. Inf. Commun. Technol., 1 (2): 185-198 (2008)Development of Brain Computer Interface for Elbow Movement Detection., , , , and . J. Next Gener. Inf. Technol., 3 (3): 66-74 (2012)A hybrid Local Binary Pattern and wavelets based approach for EEG classification for diagnosing epilepsy., , , and . Expert Syst. Appl., (2020)Automatic detection of non-convulsive seizures: A reduced complexity approach., , , , and . J. King Saud Univ. Comput. Inf. Sci., 28 (4): 407-415 (2016)Enhancing classification accuracy of wrist movement by denoising sEMG signals., , , , and . EMBC, page 5762-5764. IEEE, (2013)