Elaine Åstrand, Associate Professor, Senior Lecturer

E-mail:

elaine.astrand@mdu.se

Room:

U1-130

Phone:

021-103125

Division:

Division of Intelligent Future Technologies

Research groups:

Neuroengineering
Robotics

Elaine Åstrand is research group leader of the neuroengineering group.

[Show all publications]

[Google Scholar author page]

Latest publications:

Pupil Diameter Does Not Covary with Learning During Single-Session Neurofeedback Training (Aug 2024)
Joana Silva, Elmeri Syrjänen, Elaine Åstrand
IEEE EMBS, the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2024 (EMBS)

Individual temporal and spatial dynamics of learning to control central Beta activity in neurofeedback training (Aug 2023)
Elmeri Syrjänen, Joana Silva, Elaine Åstrand
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) (NER)

On understanding the role of exoskeleton robots in hand rehabilitation: a brief review (Jul 2022)
Maria Ortega , Antonio Jaen Ortega , Per Hellström, Elaine Åstrand, Mikael Ekström
8th InternationalEngineering, SCiences and Technology Conference (IESTEC'22)

Dependability Evaluation of an Online Pupillometry-based Feedback System for Optimized Training (May 2022)
Emil Carmegren, Elaine Åstrand, Ivan Tomasic
45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) (MIPRO 2022)

Prefrontal control of proactive and reactive mechanisms of visual suppression (Jan 2022)
Fabio Di Bello , Sameh Ben Hadj Hassen , Elaine Åstrand, Suliann Ben Hamed
Cerebral Cortex (CerebCor)

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)

Project Title	Status
Brain technology in stroke rehabilitation – increasing motor recovery	finished
CogTrack: Real-Time Cognitive Tracking as an Approach to Identify Substance Abuse	finished
Digitalization of HVDC grids by means of smart data discovery	finished
ESS-H - Embedded Sensor Systems for Health Research Profile	finished
IEMI: Intelligent extraction of mental imagery during stroke rehabilitation	finished
NeuroTrust - Trusted Smart BCI Systems for neurorehabilitation after stroke	active
RECOG: Closed-loop neurofeedback innovation for cognitive rehabilitation	finished
Rehabilitating the motor circuits of the brain - improving motor recovery after stroke	active
Self-supervised learning for predictive maintenance	active

MSc theses supervised (or examined):

Thesis Title	Status
Virtual reality, presence and it's relaxing effects	in progress
A Brain-Actuated Robot Controller for Intuitive and Reliable Maneuvering	finished
Evaluation of grasp-and-extend hand dynamics and intelligent modeling of grasp hand dynamics	finished
MOBILE PLATFORM INTERFACE FOR CONTROLLING AND MONITORING ARTIFICIAL LIMBS	finished
Novel Cluster-Based SVM to reduce classification error in noisy EEG data: towards real-time brain-robot interfaces	finished

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