Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject electroencephalography
Showing results 1 to 6 of 6
Issue Date | Title | Author(s) |
6-Jun-2024 | Assessing the effects of an 8-week mindfulness training program on neural oscillations and self-reports during meditation practice | Rodriguez-Larios, J; Wong, KF; Lim, J |
12-May-2023 | Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks | Baradaran, F; Farzan, A; Danishvar, S; Sheykhivand, S |
5-May-2023 | Depth Analysis of Anesthesia Using EEG Signals via Time Series Feature Extraction and Machine Learning | Anand, RV; Abbod, MF; Fan, S-Z; Shieh, J-S |
7-Jun-2021 | Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition | Madanu, R; Rahman, F; Abbod, MF; Fan, S-Z; Shieh, J-S |
1-Apr-2020 | Measuring electrical activity in the brain during exercise: A review of methods, challenges, and opportunities | Bigliassi, M; Wright, M; Karageorghis, C; Nowicky, A |
2019 | Spectrum analysis of EEG signals using CNN to model patient’s consciousness level based on anesthesiologists’ experience | Liu, Q; Cai, J; Fan, S-Z; Abbod, MF; Shieh, J-S; Kung, Y; Lin, L |