Andreas Galka

发表

Directionality analysis on functional magnetic resonance imaging during motor task using Granger Causality

Stéphane Perrey, Muthuraman Muthuraman, Jan Raethjen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

ynamical correlation of non-stationary signals in time omain — A comparative study

Muthuraman Muthuraman, Jan Raethjen, Günther Deuschl, 2010 .

MEG-EEG fusion by Kalman filtering within a source analysis framework

Carsten H. Wolters, Andreas Galka, Laith Hamid, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Surrogate data tests

Andreas Galka, 2000 .

A data-driven model of the generation of human EEG based on a spatially distributed stochastic wave equation

Tohru Ozaki, Andreas Galka, Ulrich Stephani, 2008, Cognitive Neurodynamics.

Dimension analysis of the human EEG

Andreas Galka, 2000 .

Decomposition of Neurological Multivariate Time Series by State Space Modelling

Tohru Ozaki, Andreas Galka, Ulrich Stephani, 2011, Bulletin of mathematical biology.

Source reconstruction via the spatiotemporal Kalman filter and LORETA from EEG time series with 32 or fewer electrodes

Fabrice Wendling, Andreas Galka, Ulrich Heute, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recursive penalized least squares solution for dynamical inverse problems of EEG generation

Tohru Ozaki, Andreas Galka, Okito Yamashita, 2004, Human brain mapping.

The choice of the source space and the Laplacian matrix in LORETA and the spatio-temporal Kalman filter EEG inverse methods

Andreas Galka, Ulrich Heute, Laith Hamid, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis of the effects of medication for the treatment of epilepsy by ensemble Iterative Extended Kalman filtering

Thomas Meurer, Andreas Galka, Michael Siniatchkin, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Pipeline for Forward Modeling and Source Imaging of Magnetocardiographic Recordings via Spatiotemporal Kalman Filtering

Andreas Galka, Laith Hamid, Ulrich Stephani, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Removing Artifacts from EEG Recorded within MR Scanner by Dynamical Template State Space Approach

Andreas Galka, Laith Hamid, Ulrich Stephani, 2013, BioMed 2013.

Identification of source components in multivariate time series by state space modelling

Kevin Wong, Andreas Galka, Ulrich Stephani, 2006 .

The performance of the spatiotemporal Kalman filter and LORETA in seizure onset localization

Andreas Galka, Ulrich Heute, Laith Hamid, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Dynamical Correlations on Reconstructed Invariant Densities and their Effect on Correlation Dimension Estimation

Andreas Galka, Gerd Pfister, G. Pfister, 2003, Int. J. Bifurc. Chaos.

Dimensions: Basic definitions

Andreas Galka, 2000 .

Modelling non-stationary variance in EEG time series by state space GARCH model

Tohru Ozaki, Andreas Galka, Okito Yamashita, 2006, Comput. Biol. Medicine.

HYBRID FILTER FOR REMOVING POWER-SUPPLY ARTIFACTS FROM EEG SIGNALS

Andreas Galka, Ulrich Heute, Ulrich Stephani, 2013, BioMed 2013.

Analysis of epileptic seizure count time series by ensemble state space modelling

Andreas Galka, Ulrich Stephani, Michael Siniatchkin, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Spatial projection as a preprocessing step for EEG source reconstruction using spatiotemporal Kalman filtering

Fabrice Wendling, Andreas Galka, Ulrich Heute, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Topics in Nonlinear Time Series Analysis, with Implications for Eeg Analysis

Andreas Galka, A. Galka, 2000 .

Comparison of causality analysis on simultaneously measured fMRI and NIRS signals during motor tasks

Stéphane Perrey, Muthuraman Muthuraman, Jan Raethjen, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Optimal HRF and smoothing parameters for fMRI time series within an autoregressive modeling framework.

Tohru Ozaki, Andreas Galka, Stephan Wolff, 2010, Journal of integrative neuroscience.

Cortico-muscular coherence on artifact corrected EEG-EMG data recorded with a MRI scanner

Muthuraman Muthuraman, Jan Raethjen, Günther Deuschl, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Testing for nonlinearity in high-dimensional time series from continuous dynamics

Tohru Ozaki, Andreas Galka, T. Ozaki, 2001 .

Estimating the dimension of high-dimensional attractors: a comparison between two algorithms

Andreas Galka, Gerd Pfister, G. Pfister, 1998 .

GARCH modelling of covariance in dynamical estimation of inverse solutions

Tohru Ozaki, Andreas Galka, Okito Yamashita, 2004 .

Quantification of Nonstationary Structure in High-dimensional Time Series

Andreas Galka, Gerd Pfister, T. Ozaki, 2004 .

A new approach to mutual information between pairs of time series

Tohru Ozaki, Andreas Galka, Okito Yamashita, 2005 .

Impulse response function based on multivariate AR model can differentiate focal hemisphere in temporal lobe epilepsy

Kensuke Kawai, Nobuhide Hirai, Andreas Galka, 2004, Epilepsy Research.

Combining EEG and MEG for the Reconstruction of Epileptic Activity Using a Calibrated Realistic Volume Conductor Model

Andreas Galka, Laith Hamid, Stefan Rampp, 2014, PloS one.