Elaine Åstrand, Senior Lecturer


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.

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Latest publications:

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)

Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm (Jun 2019)
Miguel Leon Ortiz, Joaquin Ballesteros, Jonatan Tidare, Ning Xiong, Elaine Åstrand
IEEE Congress on Evolutionary Computation (IEEE CEC'19)

PhD students supervised as assistant supervisor:

Johan Holmberg
Jonatan Tidare