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Srinivasan Vairavan

Showing results (1-10 of 40) with videos related to

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Scientific Reports|September 30, 2025
Prediction of treatment-resistant depression using the 23andMe survey dataSrinivasan Vairavan, Chao Tian, David Hinds, et al.
Plos One|June 8, 2018
Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical studyZhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Decrement of uterine myometrial burst duration as a correlate to active labor: a Hilbert phase approachRathinaswamy B Govindan, Srinivasan Vairavan, Adrian Furdea, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Localizing the neonatal and fetal spontaneous brain activity by Hilbert phase analysisRathinaswamy B Govindan, Srinivasan Vairavan, Naim Haddad, 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
Phase plane based identification of fetal heart rate patternsRathinaswamy B Govindan, Srinivasan Vairavan, Bhargavi Sriram, et al.
Frontiers in Psychiatry|June 9, 2025
Assessment of feasibility of actigraphy as a measure of clinical change in response to an experimental interventional treatment in adolescents and adults with autism spectrum disorderMatthew Boice, Svetlana Bryant, Matthew Klein, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|December 24, 2013
Quantification of fetal magnetoencephalographic activity in low-risk fetuses using burst duration and interburst intervalSrinivasan Vairavan, Rathinaswamy B Govindan, Naim Haddad, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Localization of spontaneous magnetoencephalographic activity of neonates and fetuses using independent component and Hilbert phase analysisSrinivasan Vairavan, Hari Eswaran, Hubert Preissl, et al.
Experimental Neurology|January 18, 2011
Correlation between fetal brain activity patterns and behavioral states: an exploratory fetal magnetoencephalography studyNaim Haddad, Rathinaswamy B Govindan, Srinivasan Vairavan, et al.
Journal of Critical Care|June 14, 2015
Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysisAdil Ahmed, Srinivasan Vairavan, Abbasali Akhoundi, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Scientific Reports|September 30, 2025
Prediction of treatment-resistant depression using the 23andMe survey dataSrinivasan Vairavan, Chao Tian, David Hinds, et al.
Plos One|June 8, 2018
Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical studyZhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Decrement of uterine myometrial burst duration as a correlate to active labor: a Hilbert phase approachRathinaswamy B Govindan, Srinivasan Vairavan, Adrian Furdea, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Localizing the neonatal and fetal spontaneous brain activity by Hilbert phase analysisRathinaswamy B Govindan, Srinivasan Vairavan, Naim Haddad, 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
Phase plane based identification of fetal heart rate patternsRathinaswamy B Govindan, Srinivasan Vairavan, Bhargavi Sriram, et al.
Frontiers in Psychiatry|June 9, 2025
Assessment of feasibility of actigraphy as a measure of clinical change in response to an experimental interventional treatment in adolescents and adults with autism spectrum disorderMatthew Boice, Svetlana Bryant, Matthew Klein, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|December 24, 2013
Quantification of fetal magnetoencephalographic activity in low-risk fetuses using burst duration and interburst intervalSrinivasan Vairavan, Rathinaswamy B Govindan, Naim Haddad, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Localization of spontaneous magnetoencephalographic activity of neonates and fetuses using independent component and Hilbert phase analysisSrinivasan Vairavan, Hari Eswaran, Hubert Preissl, et al.
Experimental Neurology|January 18, 2011
Correlation between fetal brain activity patterns and behavioral states: an exploratory fetal magnetoencephalography studyNaim Haddad, Rathinaswamy B Govindan, Srinivasan Vairavan, et al.
Journal of Critical Care|June 14, 2015
Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysisAdil Ahmed, Srinivasan Vairavan, Abbasali Akhoundi, et al.
Pageof 4