Unit of Medical Technology and Intelligent Information Systems

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	Modelling of biological tissues and systems
	Automated Diagnosis
	Bioinformatics
	Patient Monitoring Systems
	Biomagnetism

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Time-Series Analysis of Biosignals

Statistical processing of biosignal is used for studying problems of spike enhancement, signal denoising, source separation with application to fetal ECG and fMRI data analysis. To solve the above problems the linear model and the dynamic linear models have been used.

People: Vangelis Oikonomou

References:
Kalman Filter/Smoother:
[1].	Oikonomou, V. P. and D. I. Fotiadis (2005). A Bayesian PCA Approach for Fetal ECG extraction for Biomedical Signal Denoising Conf Proc Eur Med Biol Eng (EMBEC'05). Prague, Czech Republic.
[2].	Oikonomou, V. P., A. T. Tzallas, et al. (2007). A Kalman filter based methodology for EEG spike enhancement. Computer Methods and Programs in Biomedicine 85(2): 101-108.
[3].	Tzallas, A. T., V. P. Oikonomou, et al. (2006). Epileptic spike detection using a Kalman filter based approach. Conf Proc IEEE Eng Med Biol Soc. 1: 501-4.

Bayesian approaches on Linear Model:
[4].	Oikonomou, V. P. and D. I. Fotiadis (2006). A Bayesian Approach for Biomedical Signal Denoising. IEEE Information Technology Applications in Biomedicine (ITAB), Ioannina, Greece, October 2006.
[5].	Oikonomou, V. P. and D. I. Fotiadis (2007). A Bayesian Approach for the Estimation of AR Coefficients from Noisy Biomedical Data. Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE.
[6].	V. P. Oikonomou, E. E. Tripoliti and D. I. Fotiadis (2008), A Sparse Variational Bayesian Approach for fMRI data analysis, IEEE BIBE 2008, Athens, Greece.

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