Andreas Galka

Orcid: 0000-0002-5639-5422

According to our database1, Andreas Galka authored at least 28 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The Weighted Least-Squares Approach to State Estimation in Linear State Space Models: The Case of Correlated Noise Terms.
Algorithms, May, 2024

2023
State Space Modeling of Event Count Time Series.
Entropy, October, 2023

Comparison of Bootstrap Methods for Estimating Causality in Linear Dynamic Systems: A Review.
Entropy, July, 2023

2021
Source imaging of deep-brain activity using the regional spatiotemporal Kalman filter.
Comput. Methods Programs Biomed., 2021

2020
Constrained expectation maximisation algorithm for estimating ARMA models in state space representation.
EURASIP J. Adv. Signal Process., 2020

2019
SVD Square-root Iterated Extended Kalman Filter for Modeling of Epileptic Seizure Count Time Series with External Inputs.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Analysis of the effects of medication for the treatment of epilepsy by ensemble Iterative Extended Kalman filtering.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Pipeline for Forward Modeling and Source Imaging of Magnetocardiographic Recordings via Spatiotemporal Kalman Filtering.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Comparison of different methods to suppress muscle artifacts in EEG signals.
Signal Image Video Process., 2017

Source reconstruction via the spatiotemporal Kalman filter and LORETA from EEG time series with 32 or fewer electrodes.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Spatial projection as a preprocessing step for EEG source reconstruction using spatiotemporal Kalman filtering.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015
The performance of the spatiotemporal Kalman filter and LORETA in seizure onset localization.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

The choice of the source space and the Laplacian matrix in LORETA and the spatio-temporal Kalman filter EEG inverse methods.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Analysis of epileptic seizure count time series by ensemble state space modelling.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Validating the effect of muscle artifact suppression in localizing focal epilepsy.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Blind signal Separation of Mixtures of Chaotic Processes: a Comparison between Independent Component Analysis and State Space Modeling.
Int. J. Bifurc. Chaos, 2013

DBS artifact suppression using a time-frequency domain filter.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Cortico-muscular coherence on artifact corrected EEG-EMG data recorded with a MRI scanner.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

MEG-EEG fusion by Kalman filtering within a source analysis framework.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Comparison of causality analysis on simultaneously measured fMRI and NIRS signals during motor tasks.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Muscle artifact suppression using Independent-Component Analysis and State-Space Modeling.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Directionality analysis on functional magnetic resonance imaging during motor task using Granger Causality.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Application of State-Space Modeling to instantaneous independent-component analysis.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Dynamical correlation of non-stationary signals in time domain - A comparative study.
Biomed. Signal Process. Control., 2010

2009
Evaluating the Performance of Kalman-Filter-Based EEG Source Localization.
IEEE Trans. Biomed. Eng., 2009

2006
Modelling non-stationary variance in EEG time series by state space GARCH model.
Comput. Biol. Medicine, 2006

2004
A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering.
NeuroImage, 2004

2003
Dynamical Correlations on Reconstructed Invariant Densities and their Effect on Correlation Dimension Estimation.
Int. J. Bifurc. Chaos, 2003


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