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Biomedical Engineering at King Mongkut's Institut of Technology Ladkrabang

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Dr. Tulaya Limpiti

Education

                   B.S. (Electrical Engineering) , Northwestern University, Illinois, USA

                   M.S. (Electrical Engineering),  University of Wisconsin, USA

Ph.D. (Electrical Engineering),  University of Wisconsin, USA

Research 

Biomedical Signal Processing

 Peer-Reviewed Paper

  Journal Papers

[1] T. Limpiti, B.D. Van Veen, and R.T. Wakai, “Cortical patch basis model for spatiallyextended neural activity,” IEEE Trans. Biomed. Eng., vol. 53, no. 9, pp.1740–1754, 2006.

[2] T. Limpiti, B.D. Van Veen, H.T. Attias, and S.S. Nagarajan, “A spatio-temporalframework for estimating trial-to-trial amplitude variation in event-related MEG/EEG,”IEEE Trans. Biomed. Eng., vol. 56, no. 3, pp. 633–645, 2009.

[3] T. Limpiti, B.D. Van Veen, and R.T. Wakai, “A Spatio-Temporal Framework forMEG/EEG Evoked Response Amplitude and Latency Variability Estimation,” To appearin IEEE Trans. Biomed. Eng. 

Conference Papers

[1] T. Limpiti, B.D. Van Veen, and R.T. Wakai, “A spatio-temporal framework forMEG/EEG evoked response amplitude and latency variability estimation,” Proceedingsof the 2nd Biomedical Engineering International Conference (BMEiCON),Phuket, Thailand, August 2009, pp.86–90.

[2]T. Limpiti, B.D. Van Veen, S.S. Nagarajan, and H.T. Attias, “Linear dynamicalsystem response modeling of trial-to-trial amplitude variability in event-relatedMEG/EEG,” Proceedings of the 2007 IEEE Workshop on Statistical Signal Processing,Madison, WI, August 2007, pp. 151–155.

[3] T. Limpiti, B.D. Van Veen, S.S. Nagarajan, and Hagai T. Attias, “Linear dynamicalsystem model and Kalman filter expectation-maximization algorithm for trial-totrialvariability in event-related MEG/EEG,” The 13th Annual Meeting of the Organizationof Human Brain Mapping (OHBM ’07), Chicago, IL, June 2007.Abstract and poster presentation only.

[4] T. Limpiti, B.D. Van Veen, and R.T. Wakai, “Maximum-likelihood detection andestimation performances for rank one MEG activity”, New Frontiers in Biomagnetism,ICS 1300: Proceedings of the 15th International Conference on Biomagnetism(BIOMAG ’06), Vancouver, British Columbia, Canada, August 2006, pp. 233–236.

[5] T. Limpiti, A.K. Bolstad, B.D. Van Veen, and R.T. Wakai, “Detection of corticalpatch activity in beamspace using the generalized likelihood ratio test,” Proceedingsof Joint Meeting of the 5th International Conference on Bioelectromagnetism andthe 5th International Symposium on Noninvasive Functional Source Imaging withinthe Human Brain and Heart, Minneapolis, MN, May 2005, pp.26–29.

[6] T. Limpiti, B.D. Van Veen, R.D. Nowak, and R.T. Wakai, “Linearly constrainedminimum variance source imaging using cortical bases,” Neurology and ClinicalNeurophysiology, vol. 51, 2004.Presented at the 14th International Conference on Biomagnetism (BIOMAG ’04),Boston, MA, August 2004.

[7] A. Rodriguez, T. Limpiti, B.V. Baryshnikov, B.D. Van Veen, and R.T. Wakai, “Sub-2 space based MEG source detection,” Proceedings of the 2003 IEEE Workshop onStatistical Signal Processing, St. Louis, MO, August 2003, pp. 261–264.

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