The visit was carefully planned in advance, enabling the researcher to successfully carry out key stages of her study, focused on the application of explainable artificial intelligence in the analysis of electroencephalography (EEG) signals for the investigation of neurodegenerative diseases, particularly Alzheimer’s disease.
Although the research is still ongoing and a publication is in preparation, the results already achieved provide a solid foundation for further scientific work and international collaboration.
During the research visit, the scientist analyzed open access EEG datasets related to Alzheimer’s disease and conducted a thorough review of the relevant scientific literature. A research plan was developed, encompassing EEG signal processing and classification using convolutional neural networks and explainable artificial intelligence methods. The convolutional neural network models enabled differentiation between Alzheimer’s cases and control data, while explainable AI techniques provided visualizations highlighting which signal components had the greatest influence on decision-making. By the end of the visit, work had begun on a scientific manuscript in which the research findings will be presented to the international scientific community.
The visit also contributed to strengthening the collaboration between research groups at Kaunas University of Technology (KTU) and the West Pomeranian University of Technology in Szczecin. Scientific ties were established during the visit, experience and ideas were exchanged, and research directions of mutual interest as well as future cooperation plans were discussed.
