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Experimental Neurology|October 23, 2004
Fetal magnetoencephalography: current progress and trendsHubert Preissl, Curtis L Lowery, Hari Eswaran
Seminars in Fetal & Neonatal Medicine|October 28, 2006
Fetal magnetoencephalographyCurtis L Lowery, Hari Eswaran, Pamela Murphy, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Conduction velocity of the uterine contraction in serial magnetomyogram (MMG) data: event based simulation and validationAdrian Furdea, Hubert Preissl, Curtis L Lowery, et al.
Experimental Neurology|October 23, 2004
Functional development of the visual system in human fetus using magnetoencephalographyHari Eswaran, Curtis L Lowery, James D Wilson, et al.
American Journal of Obstetrics and Gynecology|July 31, 2004
Prediction of labor in term and preterm pregnancies using non-invasive magnetomyographic recordings of uterine contractionsHari Eswaran, Hubert Preissl, James D Wilson, et al.
Brain Research. Developmental Brain Research|December 25, 2004
Fetal magnetoencephalography--a multimodal approachHari Eswaran, Curtis L Lowery, James D Wilson, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Spatial-temporal analysis of uterine smooth muscle activity recorded during pregnancyHari Eswaran, Hubert Preissl, Pam Murphy, et al.
Clinics in Perinatology|September 8, 2009
Fetal neurological assessment using noninvasive magnetoencephalographyCurtis L Lowery, Rathinaswamy B Govindan, Hubert Preissl, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|January 18, 2006
Magnetoencephalography in healthy neonatesNaim Haddad, Bashir Shihabuddin, Hubert Preissl, et al.
IEEE Transactions on Bio-Medical Engineering|February 14, 2008
Detection of uterine MMG contractions using a multiple change point estimator and the K-means cluster algorithmPatricio S La Rosa, Arye Nehorai, Hari Eswaran, et al.
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