3 papers
math.NA2025
Tracking EEG Thalamic and Cortical Focal Brain Activity using Standardized Kalman Filtering with Kinematics Modeling
Veikka Piispa, Dilshanie Prasikala, Joonas Lahtinen +2
Kalman filtering has proven to be effective for estimating brain activity using EEG recordings. In particular, the introduced post hoc standardization step of the algorithm, inspir…
math.NA2025
The Effect of Prior Parameters on Standardized Kalman Filter-Based EEG Source Localization
Dilshanie Prasikala, Joonas Lahtinen, Alexandra Koulouri +1
EEG Source localization is a critical tool in neuroscience, with applications ranging from epilepsy diagnosis to cognitive research. It involves solving an ill-posed inverse proble…
stat.AP2025
Stable EEG Source Estimation for Standardized Kalman Filter using Change Rate Tracking
Joonas Lahtinen
This article focuses on the measurement and evolution modeling of Standardized Kalman filtering for brain activity estimation using non-invasive electroencephalography data. Here,…