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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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Detecting fetal movements using non-invasive accelerometers: A preliminary analysis., , , , , , , , , and . ISSPA, page 508-511. IEEE, (2010)Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysis., , , , and . ICASSP, page 3417-3420. IEEE, (2012)Accelerometer-based fetal movement detection., , , , , and . EMBC, page 7877-7880. IEEE, (2011)Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach., , , , , , , and . DATRA/PIPPI@MICCAI, volume 11076 of Lecture Notes in Computer Science, page 87-96. Springer, (2018)A new neonatal seizure detection technique based on the time-frequency characteristics of the electroencephalogram., , , and . ISSPA, page 1-4. IEEE, (2007)Can signal processing help prevent brain damage in the newborn?, , , and . ISSPA, page 345-350. IEEE, (1999)Biomedical applications of electrical impedance analysis., , and . ISSPA, page 367-370. IEEE, (1999)Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes., , , , and . NeuroImage, (2013)A time-frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals., , , and . Digit. Signal Process., 23 (3): 780-790 (2013)Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features., , , , and . Medical Biol. Eng. Comput., 52 (2): 183-191 (2014)