Andreas Miltiadous
Orcid: 0000-0003-0675-9088
According to our database1,
Andreas Miltiadous
authored at least 8 papers
between 2022 and 2023.
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Bibliography
2023
A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG.
Data, June, 2023
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review.
IEEE Access, 2023
DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals.
IEEE Access, 2023
Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG.
Sensors, 2022
Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool.
Biomed. Signal Process. Control., 2022
An experimental protocol for exploration of stress in an immersive VR scenario with EEG.
Proceedings of the 7th South-East Europe Design Automation, 2022