Elaine Åstrand is a researcher in the biomedical engineering group. 2014 she received her PhD in Neuroscience from Université de Claude Bernard in Lyon in France. 2010 she obtained her Master's degree in biotechnology engineering from Uppsala University.
Her research focuses on the access and extraction of cognitive information, specifically attention and working memory, from brain activity and the development of rehabilitation techniques for enhancing our cognitive ability.
Dependability Evaluation of an Online Pupillometry-based Feedback System for Optimized Training (May 2022) Emil Carmegren, Elaine Åstrand, Ivan Tomasic 43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
EEG non-stationarity across multiple sessions during a Motor Imagery-BCI intervention: two post stroke case series (May 2021) Elaine Åstrand, Jeanette Plantin , Susanne Palmcrantz , Jonatan Tidare 10th International IEEE EMBS Conference on Neural Engineering (NER'21)
Time-resolved estimation of strength of Motor Imagery representation by multivariate EEG decoding (Dec 2020) Jonatan Tidare, Miguel Leon Ortiz, Elaine Åstrand Journal of Neural Engineering (J. Neural Eng.)
Iris identification using wavelet decomposition and Gabor filter (Oct 2020) Hannes Nitz Petterson, Jonas Rehnholm, Samuel Vikström, Martin Åslund, Elaine Åstrand, Ivan Tomasic 43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Impact of NSGA-II objectives on EEG feature selection related to motor imagery (Jan 2020) Miguel Leon Ortiz, Christoffer Parkkila, Jonatan Tidare, Ning Xiong, Elaine Åstrand Genetic and Evolutionary Computation Conference (GECCO 2020)
Neuronal population correlates of target selection and distractor filtering (Jan 2020) Elaine Åstrand, Claire Wardak , Suliann Ben Hamed Neuroimage (Neuroimage)
Jonatan Tidare
Martin Johansson