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Author Details

Srinivasan Vairavan
Graduate Institute of Technology, University of Arkansas at Little Rock
2005
18
9
PMIDPaper TitleJournal TitlePublished Year
29879133Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study.PLoS One2018
26717240A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings.Comput Biol Med2016
26070247Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysis.J Crit Care2015
24361251Quantification of fetal magnetoencephalographic activity in low-risk fetuses using burst duration and interburst interval.Clin Neurophysiol2014
23907090Differences in the sleep states of IUGR and low-risk fetuses: An MCG study.Early Hum Dev2013
21930216Removal of interference from fetal MEG by frequency dependent subtraction.Neuroimage2012
22167531Clinical knowledge-based inference model for early detection of acute lung injury.Ann Biomed Eng2012
21237155Correlation between fetal brain activity patterns and behavioral states: an exploratory fetal magnetoencephalography study.Exp Neurol2011
22254593Phase plane based identification of fetal heart rate patterns.Annu Int Conf IEEE Eng Med Biol Soc2011
21140290A novel approach to track fetal movement using multi-sensor magnetocardiographic recordings.Ann Biomed Eng2011
21096231Decrement of uterine myometrial burst duration as a correlate to active labor: a Hilbert phase approach.Annu Int Conf IEEE Eng Med Biol Soc2010
21096327Localization of spontaneous magnetoencephalographic activity of neonates and fetuses using independent component and Hilbert phase analysis.Annu Int Conf IEEE Eng Med Biol Soc2010
19695985Detection of discontinuous patterns in spontaneous brain activity of neonates and fetuses.IEEE Trans Biomed Eng2009
19905421Understanding dynamics of the system using Hilbert phases: an application to study neonatal and fetal brain signals.Phys Rev E Stat Nonlin Soft Matter Phys2009
19963679Localizing the neonatal and fetal spontaneous brain activity by Hilbert phase analysis.Annu Int Conf IEEE Eng Med Biol Soc2009
17301449Entropy-based automated classification of independent components separated from fMCG.Phys Med Biol2007
17521078Approximate entropy-based epileptic EEG detection using artificial neural networks.IEEE Trans Inf Technol Biomed2007
16235818Artificial neural network based epileptic detection using time-domain and frequency-domain features.J Med Syst2005
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Collaborators

Nicolas W Chbat
Columbia University New York NY 10027 USA.
Co-authored papers 2
Guangxi Li
College of Animal Sciences and Technology, Tarim University
Co-authored papers 2
Caitlyn M Chiofolo
Co-authored papers 2
Rodrigo Cartin-Ceba
Mayo Clinic Arizona
Co-authored papers 1
Kianoush B Kashani
Mayo Clinic Rochester
Co-authored papers 1
Abbasali Akhoundi
Mayo Clinic
Co-authored papers 1
Jieping Ye
University of Michigan ann arbor
Co-authored papers 1
Vitaly Herasevich
Belarusian Medical Academy of Postgraduate Education, Belarusian State Medical University, Brest Medical College, Mayo Clinic, Mayo Graduate School
Co-authored papers 1
Ognjen Gajic
Mayo Clinic
Co-authored papers 1
Weiwei Chu
The First Affiliated Hospital of Wenzhou Medical University
Co-authored papers 1
Man Li
Sichuan Provincial Orthopedic Hospital
Co-authored papers 1
Adil Ahmed
Mayo Clinic, North Central Texas Medical Foundation
Co-authored papers 1
Monisha Ghosh
Co-authored papers 1
Gregory A Wilson
Mayo Clinic
Co-authored papers 1
Release 1.2