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An optimal feature set for seizure detection systems for newborn EEG signals.

, , and . ISCAS (5), page 33-36. IEEE, (2003)

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Characterization of memory load in an arithmetic task using non-linear analysis of EEG signals., , , and . EMBC, page 3519-3522. IEEE, (2012)Detection of newborns' EEG seizure using time-frequency divergence measures., , , and . ICASSP (5), page 429-432. IEEE, (2004)Discrete wavelet transform based seizure detection in newborns EEG signals., and . ISSPA (2), page 459-462. IEEE, (2003)0-7803-7946-2.Neonates' EEG spike detection using a time-frequency approach., , and . ISSPA, page 183-186. IEEE, (2005)Beyond Subjective Self-Rating: EEG Signal Classification of Cognitive Workload., , and . IEEE Trans. Auton. Ment. Dev., 7 (4): 301-310 (2015)Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals., , , and . ICONIP (2), volume 7664 of Lecture Notes in Computer Science, page 692-699. Springer, (2012)Spectral EEG featuresfor evaluating cognitive load., , and . EMBC, page 3841-3844. IEEE, (2011)An optimal feature set for seizure detection systems for newborn EEG signals., , and . ISCAS (5), page 33-36. IEEE, (2003)Detection of newborn EEG seizure using optimal features based on discrete wavelet transform., , and . ICASSP (2), page 265-268. IEEE, (2003)Characterizing mental load in an arithmetic task using entropy-based features., , and . ISSPA, page 199-204. IEEE, (2012)