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Emotion recognition in EEG signals using deep learning methods: A review
Computers in Biology and Medicine, 2023 Emotions are a critical aspect of daily life and serve a crucial role in human decision-making, planning, reasoning, and other mental states. As a result, they are considered a significant factor in human interactions.
Juan M Górriz +2 more
exaly +2 more sources
Classify epileptic EEG signals using weighted complex networks based community structure detection
Expert Systems With Applications, 2017 Background: Epilepsy is a brain disorder that is mainly diagnosed by neurologists based on electroencephalogram (EEG) recordings. Epileptic EEG signals are recorded as multichannel signals.
Mohammed Diykh, Peng Wen
exaly +2 more sources
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Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Brain Sciences, 2021Krzysztof Fiók +2 more
exaly
A novel classification strategy of motor imagery EEG signals utilizing WT-PSR-SVD-based MTSVM
Expert Systems With Applications, 2022exaly
Separation of Sources From Single-Channel EEG Signals Using Independent Component Analysis
IEEE Transactions on Instrumentation and Measurement, 2018Anil Mahanta, Ajay Kumar Maddirala
exaly
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
Expert Systems With Applications, 2005Inan Güler, Elif Derya Übeyli
exaly
Decision support systems for time-varying biomedical signals: EEG signals classification
Expert Systems With Applications, 2009Elif Derya Übeyli
exaly