You are herePublications during 2002-2003

Publications during 2002-2003



JOURNALS

[1] Iasemidis, L.D. Deng-Shan Shiau Chaovalitwongse, W. Sackellares, J.C. Pardalos, P.M. Principe, J.C. Carney, P.R. Prasad, A. Veeramani, B. Tsakalis, K. Adaptive epileptic seizure prediction system, IEEE Transactions on Biomedical Engineering, Volume: 50, Issue: 5, May 2003

[2] Iasemidis, L.D. Epileptic seizure prediction and control, IEEE Transactions on Biomedical Engineering, Volume: 50, Issue: 5 May 2003

[3] Witte, H.; Iasemidis, L.D.; Litt, B, Special issue on epileptic seizure prediction, IEEE Transactions on Biomedical Engineering,Volume 50, Issue 5, May 2003 Page(s):537 - 539

[4] Panos M. PardalosE, Vitaliy YatsenkoE-mail, Chris Sackellares,Deng-Shan Shiau, Wanpracha Chaovalitwongseand Leonidas D. Iasemidis, Analysis of EEG data using optimization, statistics, and dynamical system technique, Computational Statistics & Data Analysis, Volume 44, Issues 1-2, 28 October 2003, Pages 391-408 statistics, and dynamical system techniques

[5] L. D. Iasemidis, P. M.Pardalos, D.-S.Shiau, W.Chaovalitwongse, K.Narayanan, S.Kumar, P. R.Carney, and J. C.Sackellares, Prediction of human epileptic seizures based on optimization and phase changes of brain electrical activity, J. Optimization Meth. Software, vol. 18, pp. 81-104, 2003

[6] P. M.Pardalos, J. C. Sackellares, V. A.Yatsenko, M. C. K.Yang, D. S.Shiau, W.Chaovalitwongse, and L. D.Iasemidis, Statistical information approaches for the modeling of the epileptic brain, J. Computational Statist. Data Anal., 2003


BOOK CHAPTERS

[1] L. D. Iasemidis, A. Prasad, J. C. Sackellares, P. M. Pardalos and D-S Shiau, “On the prediction of seizures, hysteresis and resetting of the epileptic brain: insights from models of coupled chaotic oscillators”, in Order and Chaos, T. Bountis and S. Pneumatikos, Eds., vol. 8, Publishing House of K. Sfakianakis, Thessaloniki: Greece, pp. 283-305, 2003.

[2] L.D. Iasemidis, P.M. Pardalos, V.A. Yatsenko & J.C. Sackellares, “Global optimization approaches to reconstruction of dynamical systems related to epileptic seizures”, In Scattering and Biomedical Engineering: Modeling and Applications, D. Fotiadis and C.V. Massalas, Eds., World Scientific, pp. 308-318, 2002.

[3] L. D. Iasemidis, D.-S. Shiau, P. M. Pardalos & J. C. Sackellares. "Phase Entrainment and Predictability of Epileptic Seizures." In: Biocomputing, P. M. Pardalos and J. Principe, Eds., Kluwer Academic Publishers, pp. 59-84, 2002.

[4] J. C. Sackellares, L. D. Iasemidis, P. M. Pardalos & D.-S. Shiau. "Combined Application of Global Optimization and Nonlinear Dynamics to Detect State Resetting in Human Epilepsy." In: Biocomputing, P. M. Pardalos and J. Principe, Eds., Kluwer Academic Publishers, pp. 140-158, 2002.


CONFERNCE PROCEEDINGS

[1] S. Sabesan, K. Narayanan, A. Prasad, A. Spanias, and L.D. Iasemidis, Improved Measure of Information Flow in Coupled Noninear Systems,International journal of bifurcation and chaos in applied sciences and engineering, [0218-1274] yr:2006 vol:16 iss:7 pg:2013

[2] S. Sabesan, K. Narayanan, A. Prasad, A. Spanias, J. Sackellares and L. Iasemidis, Predictability of epileptic seizures: a comparative study using Lyapunov exponent and entropy based measures, Biomed. Sci. Instrum. 39 (2003), pp. 129–135.

[3] R. Venugopal, A. Prasad, K. Narayanan, A. Spanias, and L.D. Iasemidis, Nonlinear Noise Reduction and Predictability of Epileptic Seizures, From Proceeding (380) Modelling and Simulation - 2003, ACTA Press

[4] B. Veeramani, K. Narayanan, A. Prasad, A. Spanias, L.D. Iasemidis, On the Use of Directed Transfer Function for Nonlinear Systems, From Proceeding (380) Modelling and Simulation - 2003, ACTA Press

[5] B. Veeramani, A. Prasad, K. Narayanan, A. Spanias, and L. D. Iasemidis, Measuring information flow in nonlinear systems-A modeling approach in the state space, in Proc. RMBS, 2003, pp. 65-70.

[6] Venugopal R, Narayanan K, Prasad A, Spanias A, Sackellares JC, Iasemidis LD, A new approach towards predictability of epileptic seizures: KLT dimension, in Proc. RMBS, 2003, pp.123-8.

[7] K. Narayanan, D.J. Weber, J. He, A. Prasad & L.D. Iasemidis, “Analysis of neuronal interactions during adaptation and learning in motor control of primates: A model independent approach using information theory” IEEE Engineering in Medicine and Biology Society, Annual Meeting, Houston, Texas, pp. 2552-2553, 2002.


ABSTRACTS

[1] Iasemidis, L.D., Prasad, A., Sackellares, J.C., Pardalos, P.M. and Shiau, D.S., [2001/2003] On the prediction of seizures, hysteresis and resetting of the epileptic brain: insights from models of coupledchaotic oscillators, in Order and Chaos, Bountis, T. and Pneumatikos, S., Eds. vol. 8, PublishingHouse of K. Sfakianakis, Thessaloniki: Greece, pp. 283-305 (Proc. of the 14th Summer School onNonlinear Dynamics: Chaos and Complexity, Patras, Greece, 2001).

[2] Shiau et al., 2003 D.-S. Shiau, L.D. Iasemidis, W. Suharitdamrong, L.K. Dance, W. Chaovalitwongse, P.M. Pardalos, P.R. Carney and J.C. Sackellares, Detection of the preictal period by dynamical analysis of scalp EEG, Epilepsia 44 (2003) (Suppl. 9), pp. 233–234.

[3] D. S. Shiau, J. C. Sackellares, L. D. Iasemidis, M. F. Maze, and P. R.Carney, Nonlinear approximate entropy analysis of brain electrical activity in a generalized epilepsy animal model, Epilepsia, vol. 43, pp. 273–274, 2003.

[4] L.D. Iasemidis, J.C. Sackellares, D.S. Shiau, P.R. Carney & P.M. Pardalos, “A New Look at the Dynamics of the Epileptic Brain: Prediction of Epileptic Seizures and Resetting of the Epileptic Brain Leads to Intelligent Brain Pacemakers”, Brain Topography.

[5] L.D. Iasemidis, A. Prasad, M. Mukherjee, L. Good & J. Wu, “A new method for dynamical information analysis in epilepsy”, Epilepsia 44 (Suppl. 9): 171-172, 2003.

[6] J.C. Sackellares, L.D. Iasemidis, D.S. Shiau, W. Suharitdamrong, L.K. Dance, W. Chaovalitwongse, P.M. Pardalos &, P.R. Carney, “An automated seizure warning algorithm for scalp EEG”, Epilepsia 44 (Suppl. 9): 228, 2003.

[7] L.D. Iasemidis, A. Prasad, K. Narayanan, J.C. Sackellares, P.M. Pardalos, D.S. Shiau & W. Chaovalitwongse, “Prediction of epileptic seizures by linear and nonlinear methods”, International Nonlinear Sciences Conference on Research and applications in the Life Sciences, Vienna, Austria, February 7-9, 2003.

[8] A. Prasad, K. Narayanan, K. Tsakalis & L.D. Iasemidis, “Hysteresis in coupled chaotic oscillators and application to epileptic seizures”, International Nonlinear Sciences Conference on Research and applications in the Life Sciences, Vienna, Austria, February 7-9, 2003.

[9] P.R. Carney, M.F. Maze, D.S. Shiau, A. Srivastava, L.D. Iasemidis, P.M. Pardalos & J.C. Sackellares, “State-specific nonlinear neurodynamics features in an animal model of generalized epilepsy”, Epilepsia 43(Suppl. 7): 270, 2002.

[10] P. R. Carney, J.C. Sackellares, D-S Shiau, L.D. Iasemidis, W. Chaovalitwongse, W. Suharitdamrong & P. M. Pardalos, “Detection of seizures in newborns by quantitative EEG signal analysis”, Epilepsia 44 (Suppl. 9): 54-55, 2003.

[11] J.C. Sackellares, L.D. Iasemidis, D.S. Shiau, W. Chaovalitwongse, P.M. Pardalos & P.R. Carney, “Dynamical dependence of seizure prediction on preceding seizures”, Epilepsia 443(Suppl. 7): 50, 2002.

[12] L.D. Iasemidis, D.S. Shiau, W. Chaovalitwongse, P.M. Pardalos, P.R. Carney & J.C. Sackellares, “Adaptive seizure prediction system”, Epilepsia 443(Suppl. 7): 264, 2002.

[13] W. Chaovalitwongse, L.D. Iasemidis, A. Prasad, D.S. Shiau, P.M. Pardalos, P.R. Carney & J.C. Sackellares, “Seizure prediction by dynamical phase information from the EEG”,Epilepsia 443(Suppl. 7): 45, 2002.

[14] J.C. Sackellares, D.S. Shiau, L.D. Iasemidis, P.M. Pardalos & W. Chaovalitwongse, “Can knowledge of cortical site dynamics in a preceding seizure be used to improveprediction of the next seizure?”, Ann. Neurol., Vol. 52, Issue 3S, S65-S66, 2002.

[15] W. Chaovalitwongse, J.C. Sackellares, D-S Shiau, P. R. Carney, P. M. Pardalos & L.D. Iasemidis, “Automated real-time seizure detection algorithm”, Epilepsia 44 (Suppl. 9):227, 2003.