Jonatan Tidare, Doctoral student

Graduated from MDH 2017-12-11, Master degree in Robotics engineering. Worked as a Research Engineer at MDH for almost a year before starting my doctoral studies at MDH as a TeD student in electronics.

EEG measurements during motor imagery. Neurofeedback in real time to improve learning to control a Brain-Computer Interface. Towards a new stroke rehabilitation method for stroke patients.

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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.)

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)

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)

Discriminating EEG spectral power related to mental imagery of closing and opening of hand (Mar 2019)
Jonatan Tidare, Miguel Leon Ortiz, Ning Xiong, Elaine Åstrand
THe 9th International IEEE EMBS Conference of Neural Engineering (IEEE NER'19)

Evaluation of Closed-Loop Feedback System Delay: A time-critical perspective for neurofeedback training (Jan 2018)
Jonatan Tidare, Elaine Åstrand, Martin Ekström
International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018)