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Artifact extraction, elimination techniques, and evoked field decomposition for biomedical signals

During the life of the BLISS project, we have contributed to making biomedical signal processing possibly the most successful field of application for independent component analysis (ICA). To this end, we have addressed the issues of artifact identification and reduction from electro- and magnetoencephalograms (EEG and MEG, respectively), as well as from functional magnetic resonance images (fMRI). A sign of its success is the wide acceptance of ICA by the medical community, with whom we kept active collaborations. Practical implications to human brain mapping, or to clinical use of EEG, MEG and fMRI are considerable.

Furthermore, with a clear target in neuroscience, we have analysed brain responses, evoked by external stimuli, both in an MEG and fMRI mapping modalities. Results lead into innovative insights to human brain mapping.

The extension of the applications of ICA, from standard EEG and MEG to other measuring techniques, was as well addressed. To this end, we studied DC-Magnetometry; performed brain tissue segmentation and classification, using structural MRI; analysed the hemodynamic response of the brain to auditory stimuli, via fMRI; addressed the non invasive fetal electrocardiogram (fECG) extraction using surface electrodes.

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Helsinki University of Technology
P.O. Box 5400
02015 HUT Espoo
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