Advances in Electroencephalography Signal Processing [Life Sciences]

Over the past three decades of invention and refinement of neuroimaging techniques, our understanding of the brain has been remarkably enhanced. Today, there are several tools and methods by which neuroscientists and radiologists can discover more information about brain function. Yet, most of these methods have their roots in Walter Dandy's ventriculography (X-ray imaging of the brain) in the 1910s and the ground breaking work of Hans Beger in recording brain electrical activity [electroencephalography (EEG)] in the 1920s. Since then, the techniques in both acquisition and analysis of these signals have been significantly improved.

[1]  J Olivo,et al.  Energy Harvesting and Remote Powering for Implantable Biosensors , 2011, IEEE Sensors Journal.

[2]  Özgür B. Akan,et al.  A survey on bio-inspired networking , 2010, Comput. Networks.

[3]  Hamid Reza Mohseni,et al.  oupled particle filtering : A new approach for P 300-based analysis of mental atigue , 2011 .

[4]  Saeid Sanei,et al.  A new spatiotemporal filtering method for single-trial ERP subcomponent estimation , 2010, 2010 18th European Signal Processing Conference.

[5]  Hamid Reza Mohseni,et al.  Variational Bayes for Spatiotemporal Identification of Event-Related Potential Subcomponents , 2010, IEEE Transactions on Biomedical Engineering.

[6]  Özgür B. Akan,et al.  Mobile Ad Hoc Nanonetworks with Collision-Based Molecular Communication , 2012, IEEE Transactions on Mobile Computing.

[7]  José Carlos Príncipe,et al.  A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents , 2011, IEEE Transactions on Biomedical Engineering.

[8]  Giulio Tononi,et al.  Estimation of Cortical Connectivity From EEG Using State-Space Models , 2010, IEEE Transactions on Biomedical Engineering.

[9]  G. Pfurtscheller,et al.  Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[10]  Seungjin Choi,et al.  Composite Common Spatial Pattern for Subject-to-Subject Transfer , 2009, IEEE Signal Processing Letters.

[11]  Jose M. Sanchez-Bornot,et al.  Model driven EEG/fMRI fusion of brain oscillations , 2009, Human brain mapping.

[12]  S. Sanei,et al.  Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms , 2011, Physiological measurement.

[13]  Rahul Sarpeshkar,et al.  A Bio-Inspired Ultra-Energy-Efficient Analog-to-Digital Converter for Biomedical Applications , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[14]  Ludovic Denoyer,et al.  Link Pattern Prediction with tensor decomposition in multi-relational networks , 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

[15]  Misha Mahowald,et al.  A silicon model of early visual processing , 1993, Neural Networks.

[16]  O. Sporns,et al.  Key role of coupling, delay, and noise in resting brain fluctuations , 2009, Proceedings of the National Academy of Sciences.

[17]  Jean Gotman,et al.  Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes , 2008, NeuroImage.

[18]  Roberto Montemanni,et al.  Design patterns from biology for distributed computing , 2006, TAAS.

[19]  Saeid Sanei,et al.  Instantaneous phase tracking of oscillatory signals using emd and Rao-Blackwellised particle filtering , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[20]  William S. Levine Signal Processing for Control , 2013, Handbook of Signal Processing Systems.

[21]  J. Engel,et al.  Design and Characterization of Artificial Haircell Sensor for Flow Sensing With Ultrahigh Velocity and Angular Sensitivity , 2007, Journal of Microelectromechanical Systems.

[22]  Hamid Reza Mohseni,et al.  A new beamforming-based MEG dipole source localization method , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[23]  F. Cincotti,et al.  High Resolution EEG Hyperscanning During a Card Game , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Hamid Reza Mohseni,et al.  A beamforming particle filter for EEG dipole source localization , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[25]  Cuntai Guan,et al.  Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms , 2011, IEEE Transactions on Biomedical Engineering.

[26]  H. Byun,et al.  Analysis of diabetic patient's breath with conducting polymer sensor array , 2005 .

[27]  Marwan A. Jabri,et al.  A hybrid analog and digital VLSI neural network for intracardiac morphology classification , 1995 .