Electroencephalography signal processing by Hui, Sheldon.

“…Experiments have been conducted over different subjects with the aim of retrieving stimulated SSVEP responses from their Electroencephalography (EEG) signals. These tests have been planned to observe variations in the SSVEP responses under different stimulation conditions, such as color and environmental disturbances. …”
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Brain activity study on olfactory stimulation via electroencephalography by Ho, Melvin Weiyuan

“…Electroencephalography (EEG) is the recording of electrical signals generated by the brain. …”
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Finger joint reconstruction from electroencephalography signals with deep learning by Tang Yuting

“…Motion Trajectory Prediction BCI (MTP-BCI) is considered suitable for high-precision tasks by decoding continuous motion information from Electroencephalography (EEG) signals. While numerous studies have focused on reconstructing the kinematics of upper and lower limbs, there is a dearth of updated research on finger movement reconstruction, particularly in non-invasive settings, despite its critical role in daily tasks. …”
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Electroencephalography (EEG) brain computer interface (BCI) for mental states detection by Aung, Aung Phyo Wai

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Controlled emotional tactile stimulation during functional magnetic resonance imaging and electroencephalography by Kanayama, Noriaki, Hara, Masayuki, Watanabe, Junji, Kitada, Ryo, Sakamoto, Maki, Yamawaki, Shigeto

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Qualitative and quantitive assessment of new language perception of bilinguals using electroencephalography(EEG) by Yuvadarshinii, Ilang Kumaran

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Visual target selection using brain signals acquired using Electroencephalography (EEG) by Oh, Yoke Chew

“…Past studies had shown promising results of Electroencephalography(EEG) based BCI as tool for communication and control. …”
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One way or another : evidence for perceptual asymmetry in pre-attentive learning of non-native contrasts by Liu, Liquan, Ong, Jia Hoong, Tuninetti, Alba, Escudero, Paola

Subjects: “…Electroencephalography…”
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Electroencephalography and vision tracking to evaluate influences of gender, personality types and cultural differences on product designers during the final design selection process by Khoo, Nicholas Hong Li

“…To better aid and hasten the selection process, this report explores the use of Electroencephalography (EEG) and vision tracking devices to evaluate preferences based on the “aesthetic” criteria of robot designs. …”
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Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG by Georgieva, Stanimira, Lester, Suzannah, Noreika, Valdas, Yilmaz, Meryem Nazli, Wass, Sam, Leong, Victoria

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EEG-based mental workload and stress recognition of crew members in maritime virtual simulator : a case study by Liu, Yisi, Subramaniam, Salem Chandrasekaran Harihara, Sourina, Olga, Liew, Serene Hui Ping, Krishnan, Gopala, Konovessis, Dimitrios, Ang, Hock Eng

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A randomized controlled trial of a brain-computer interface based attention training program for ADHD by Lim, Choon Guan, Guan, Cuntai, Bautista, Dianne, Cheung, Yin Bun, Zhang, Haihong, Yeo, Si Ning, Krishnan, Ranga, Lee, Tih Shih, Poh, Wendy Xue Wei, Fung, Daniel Shuen Sheng

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Modeling EEG-based motor imagery with session to session online adaptation by Zhang, Zhuo, Foong, Ruyi, Phua, Kok Soon, Wang, Chuanchu, Ang, Kai Keng

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EEG-based emotion recognition using regularized graph neural networks by Zhong, Peixiang, Wang, Di, Miao, Chunyan

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Subject matching for cross-subject EEG-based recognition of driver states related to situation awareness by Li, Ruilin, Wang, Lipo, Sourina, Olga

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Motor imagery BCI classification based on multivariate variational mode decomposition by Sadiq, Muhammad Tariq, Yu, Xiaojun, Yuan, Zhaohui, Aziz, Muhammad Zulkifal, Rehman, Naveed ur, Ding, Weiping, Xiao, Gaoxi

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LGGNet: learning from local-global-graph representations for brain-computer interface by Ding, Yi, Robinson, Neethu, Tong, Chengxuan, Zeng, Qiuhao, Guan, Cuntai

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Neurophysiological predictors and spectro-spatial discriminative features for enhancing SMR-BCI by Robinson, Neethu, Thomas, Kavitha Perumpadappil, Vinod, A P

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Individual alpha peak frequency based features for subject dependent EEG workload classification by Lim, Wei Lun, Sourina, Olga, Wang, Lipo, Liu, Yisi

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Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network by Zhang, Kaishuo, Robinson, Neethu, Lee, Seong-Whan, Guan, Cuntai

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