Using Data Assimilation for Quantitative Electroencephalography Analysis.

ABSTRACT: We propose a method based on the ensemble Kalman filter (EnKF) together with quantitative electroencephalogram (QEEG) coherence and power spectrum analysis for evaluating changes in brain activity associated with cognitive processes. Such analysis framework has been widely used in the context of data assimilation (DA) in areas such as geosciences, meteorology, and aerospace. However, the use of this approach is less common in neurosciences. In our case, EnKF highlights the spectral contribution of brain signals that are more likely (according to their coherence analysis) to be related to the cognitive process of interest. The power enhancement, due to the cognitive activity, is later validated in the power spectrum analysis by comparing through statistical tests relevant frequency content

SUBMITTER: Peralta-Malvaez L 

PROVIDER: S-EPMC7696777 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature