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A time-frequency distribution based on the empirical mode decomposition., , and . ISSPA, page 1-4. IEEE, (2007)An improvement to the multiple window spectrogram using quadratic time-frequency distributions., , and . ISSPA, page 651-654. IEEE, (2005)Ensemble learning using individual neonatal data for seizure detection., , , , , , , and . CoRR, (2022)Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy., , , and . Comput. Biol. Medicine, (2022)Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection., , and . Int. J. Neural Syst., 29 (4): 1850030:1-1850030:15 (2019)Hybrid neonatal EEG seizure detection algorithms achieve the benchmark of visual interpretation of the human expert., , and . EMBC, page 5991-5994. IEEE, (2019)A Nonstationary Model of Newborn EEG., , , and . IEEE Trans. Biomed. Eng., 54 (1): 19-28 (2007)Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary., , , , and . IEEE Trans. Biomed. Eng., 61 (11): 2724-2732 (2014)Automated detection of artefacts in neonatal EEG with residual neural networks., , , , and . Comput. Methods Programs Biomed., (2021)Daily activities of a transfemoral amputee fitted with osseointegrated fixation: continuous recording of the loading for an evidence-based practice, , , , , , , , , and . Kinesitherapie la revue, 6 (56-57): 53-62 (September 2006)