Search Results - "Stenroos, M."

Bioelectromagnetic forward problem: isolated source approach revis(it)ed by Stenroos, M, Sarvas, J

“…Electro- and magnetoencephalography (EEG and MEG) are non-invasive modalities for studying the electrical activity of the brain by measuring voltages on the…”
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The transfer matrix for epicardial potential in a piece-wise homogeneous thorax model: the boundary element formulation by Stenroos, M

“…In epicardial potential imaging, the epicardial potential is reconstructed computationally from the measured body surface potential. The transfer function that…”
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EEG and MEG: sensitivity to epileptic spike activity as function of source orientation and depth by Hunold, A, Funke, M E, Eichardt, R, Stenroos, M, Haueisen, J

“…Simultaneous electroencephalography (EEG) and magnetoencephalography (MEG) recordings of neuronal activity from epileptic patients reveal situations in which…”
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Modelling of transcranial magnetic stimulation and associated brain activity: use realistic models by Stenroos, M, Koponen, L.M

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A Matlab library for solving quasi-static volume conduction problems using the boundary element method by Stenroos, M, Mäntynen, V, Nenonen, J

“…Abstract The boundary element method (BEM) is commonly used in the modeling of bioelectromagnetic phenomena. The Matlab language is increasingly popular among…”
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Boundary Element Computations in the Forward and Inverse Problems of Electrocardiography: Comparison of Collocation and Galerkin Weightings by Stenroos, Matti, Haueisen, Jens

“…In electrocardiographic imaging, epicardial potentials are reconstructed computationally from electrocardiographic measurements. The reconstruction is…”
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P 220. Why do we need methods for removing artifacts from TMS-evoked EEG data? by Hernandez-Pavon, J.C, Metsomaa, J, Stenroos, M, Sarvas, J, Ilmoniemi, R

“…Transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) is a powerful tool for studying cortical excitability and connectivity. In…”
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On complementary sensitivity distributions and resolution of MCG and ECG by Mäntynen, V, Konttila, T, Stenroos, M

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Electrocardiographic source estimation in patients with acute myocardial ischemia by Konttila, T, Mäntynen, V, Stenroos, M

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P160 Computing TMS-induced electric field in realistic head model in real time by Stenroos, M., Koponen, L.M.

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P287 Effects of beamforming-extracted source oscillations on brain-state-dependent TMS by Belardinelli, P., Gordon, P.C., Stenroos, M., Metsomaa, J., Ermolova, M., Zrenner, C., Ziemann, U.

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Comparison of beamformer implementations for MEG source localization by Jaiswal, Amit, Nenonen, Jukka, Stenroos, Matti, Gramfort, Alexandre, Dalal, Sarang S., Westner, Britta U., Litvak, Vladimir, Mosher, John C., Schoffelen, Jan-Mathijs, Witton, Caroline, Oostenveld, Robert, Parkkonen, Lauri

“…Beamformers are applied for estimating spatiotemporal characteristics of neuronal sources underlying measured MEG/EEG signals. Several MEG analysis toolboxes…”
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Brain-state dependent TMS triggered by individual cortical source activity using online beamforming by Zrenner, C., Gordon, P., Desideri, D., Stenroos, M., Belardinelli, P.

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Support vector classification of acute myocardial ischemia with reduced sets of body surface potential map electrodes by Konttila, T., Stenroos, M., Vaananen, H., Hanninen, H., Lindholm, M., Tierala, I., Katila, T.

“…Body surface potential maps (BSPM) can be used to localise supply ischemia [1]. The complete lead set could be used for more exact classification than with any…”
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Dipole modeling in electrocardiographic classification of acute ischemia by Stenroos, M., Lindholm, M., Hanninen, H., Tierala, I., Vaananen, H., Katila, T.

“…Acute ischemia is commonly detected with electrocardiography. In diagnostic use 12-lead ECG is the standard setup, during monitoring reduced lead sets are…”
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Adverse Events After Surgical Treatment of Adult Diaphyseal Forearm Fractures by Henri Vasara, MD, Samuli Aspinen, MD, PhD, Jussi Kosola, MD, PhD, Juha Sartanen, MD, Tuomo Naalisvaara, MD, Jan Myllykoski, MD, Antti Stenroos, MD, PhD

“…Background:. The incidence of and risk factors for adverse events after internal fixation of diaphyseal forearm fractures have not been well defined in the…”
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Spatiotemporal characterization of paced cardiac activation with body surface potential mapping and self-organizing maps by Simelius, Kim, Stenroos, Matti, Reinhardt, Lutz, Nenonen, Jukka, Tierala, Ilkka, Mäkijärvi, Markku, Toivonen, Lauri, Katila, Toivo

“…In this study self-organizing maps (SOM) were utilized for spatiotemporal analysis and classification of body surface potential mapping (BSPM) data. Altogether…”
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Spatial repolarization abnormalities in old myocardial infarction by Vesterinen, Paula, Hänninen, Helena, Karvonen, Milla, Lauerma, Kirsi, Holmström, Miia, Mäkijärvi, Markku, Väänänen, Heikki, Stenroos, Matti, Nenonen, Jukka, Katila, Toivo, Toivonen, Lauri

“…Conventional electrocardiogram criteria for myocardial infarction (MI) rely on QRS features, but ST-T segment is also affected. We recorded body surface…”
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Electrocardiographic inverse problem: Spatial characterization of the left ventricle potential by Stenroos, M., Toivonen, L.

“…In this work, we present a method for spatial characterization of the electrical activity of the left ventricle (LV). The presented method,…”
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Electrocardiographic detection and quantification of acute myocardial ischemia with dipole modeling by Stenroos, M., Lindholm, M., Vesterinen, P., Kylmala, M., Konttila, T., Dabek, J., Vaananen, H.

“…Clinical electrocardiography is based on concept of a dipolar cardiac generator. This concept is not commonly used in quantitative analysis of the…”
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