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Time-frequency characterization of tri-axial accelerometer data for fetal movement detection.

, , , , , , and . ISSPIT, page 466-471. IEEE Computer Society, (2011)

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Influence of EEG artifacts on detecting neonatal seizure., , , and . ISSPA, page 500-503. IEEE, (2010)Newborn EEG seizure detection using optimized time-frequency matched filter., , , and . ISSPA, page 1-4. IEEE, (2007)Motor Imagery Task Classification Using a Signal-Dependent Orthogonal Transform Based Feature Extraction., , , and . ICONIP (2), volume 9490 of Lecture Notes in Computer Science, page 1-9. Springer, (2015)EEG Sparse Representation Based Alertness States Identification Using Gini Index., , , and . ICONIP (7), volume 11307 of Lecture Notes in Computer Science, page 478-488. Springer, (2018)EEG rhythm/channel selection for fuzzy rule-based alertness state characterization., and . Neural Comput. Appl., 30 (7): 2257-2267 (2018)A New Discrete Analytic Signal for Reducing Aliasing in the Discrete Wigner-Ville Distribution., , and . IEEE Trans. Signal Process., 56 (11): 5427-5434 (2008)Improved discrete definition of quadratic time-frequency distributions., , and . IEEE Trans. Signal Process., 58 (2): 906-911 (2010)Automatic fetal movement recognition from multi-channel accelerometry data., , , , , , , and . Comput. Methods Programs Biomed., (2021)Newborn EEG seizure pattern characterisation using time-frequency analysis., , and . ICASSP, page 1041-1044. IEEE, (2001)A HISTOGRAM-BASED ELECTROENCEPHALOGRAM SPIKE DETECTION., , , and . ISSPA, page 207-210. IEEE, (2005)