Effect of sleep deprivation on estimated distributed sources for Scalp EEG signals: A case study on human drivers

The Scalp EEG is a large-scale & robust information source about neocortical dynamic functions. In this paper, we analyze a scalp Electro-Encephalogram (EEG) database of 12 human subjects driving on a simulated condition in laboratory, in 11 different stages of fatigue for characterizing the source natures on the cortex surface. In this paper, the Linear Distributed Current Dipole Approach is used. We have used standardized Low Resolution Brain Electromagnetic Tomography (sLORETA) algorithm, which upon construction of a Lead-field Matrix or a Head model consisting of a grid of 10014 voxels, spatially maps the surface data to corresponding corticular dipole sources at each voxel. The information measures such as Renyi, Shannon & Tsallis entropies of the scouts or voxels nearest to specific electrodes are calculated for various subjects & for varying fatigue levels.

[1]  Richard M. Leahy,et al.  Brainstorm: A User-Friendly Application for MEG/EEG Analysis , 2011, Comput. Intell. Neurosci..

[2]  Stéphane Mallat,et al.  A Wavelet Tour of Signal Processing, 2nd Edition , 1999 .

[3]  P. Senthil Kumar,et al.  A Wavelet based Statistical Method for De-Noising of Ocular Artifacts in EEG Signals , 2008 .

[4]  Z. Koles,et al.  Trends in EEG source localization. , 1998, Electroencephalography and clinical neurophysiology.

[5]  Tzyy-Ping Jung,et al.  EEG-Based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach , 2008, EURASIP J. Adv. Signal Process..

[6]  J. Fermaglich.  Electric Fields of the Brain: The Neurophysics of EEG , 1982 .

[7]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[8]  T. Koenig,et al.  Low resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neuroleptic-naive, first-episode, productive schizophrenia , 1999, Psychiatry Research: Neuroimaging.

[9]  Fusheng Yang,et al.  A recursive algorithm for the three-dimensional imaging of brain electric activity: shrinking LORETA-FOCUSS , 2004, IEEE Transactions on Biomedical Engineering.

[10]  O. Rioul,et al.  Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.

[11]  Tohru Ozaki,et al.  A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering , 2004, NeuroImage.

[12]  Tzyy-Ping Jung,et al.  An EEG-based subject- and session-independent drowsiness detection , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[13]  M. Fuchs,et al.  An improved boundary element method for realistic volume-conductor modeling , 1998, IEEE Transactions on Biomedical Engineering.

[14]  P. Laguna,et al.  Signal Processing , 2002, Yearbook of Medical Informatics.

[15]  R. Ilmoniemi,et al.  Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.

[16]  S. Kar,et al.  EEG signal analysis for the assessment and quantification of driver’s fatigue , 2010 .

[17]  R D Pascual-Marqui,et al.  Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.

[18]  A. Rényi.  On Measures of Entropy and Information , 1961 .

[19]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[20]  J J Riera,et al.  Evaluation of inverse methods and head models for EEG source localization using a human skull phantom , 2001, Physics in medicine and biology.

[21]  Aurobinda Routray,et al.  Classification of brain states using principal components analysis of cortical EEG synchronization and HMM , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[22]  Shoogo Ueno,et al.  Source current estimation of brain magnetic field evoked by mental rotation task using minimum-norm method with MUSIC prescanning , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[23]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[24]  R. Barry,et al.  Removal of ocular artifact from the EEG: a review , 2000, Neurophysiologie Clinique/Clinical Neurophysiology.

[25]  A. Achim,et al.  Methods for separating temporally overlapping sources of neuroelectric data , 2005, Brain Topography.

[26]  F. Vollenweider,et al.  Localization of MDMA‐induced brain activity in healthy volunteers using low resolution brain electromagnetic tomography (LORETA) , 2001, Human brain mapping.

[27]  D. Lehmann,et al.  Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. , 1994, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.