Generative adversarial networks in EEG analysis: an overview
Electroencephalogram (EEG) signals have been utilized in a variety of medical as well as
engineering applications. However, one of the challenges associated with recording EEG …
engineering applications. However, one of the challenges associated with recording EEG …
Reconstruction of missing channel in electroencephalogram using spatiotemporal correlation-based averaging
N Bahador, J Jokelainen, S Mustola… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Electroencephalogram (EEG) recordings often contain large segments with
missing signals due to poor electrode contact or other artifact contamination. Recovering …
missing signals due to poor electrode contact or other artifact contamination. Recovering …
[HTML][HTML] Deep learning-based classification of multichannel bio-signals using directedness transfer learning
N Bahador, J Kortelainen - Biomedical Signal Processing and Control, 2022 - Elsevier
The problem with processing of multivariate/multichannel signals lies in adapting of existing
classifiers on data. Reformulating time-series data as visual clues and assigning visual …
classifiers on data. Reformulating time-series data as visual clues and assigning visual …