The Recognition of Multiple Anxiety Levels Based on Electroencephalograph
Ziyu Li(Beijing Normal University), Li Yao(Beijing Normal University), Xueyuan Xu(Beijing Normal University), Xia Wu(Beijing Institute of Technology), Zhenghao Guo(Beijing Normal University), Hailing Wang(Beijing Normal University), Zhichao Zhan(Beijing Normal University)
Cited by 50
Related Papers
Impairment and compensation coexist in amnestic MCI default mode network
|NeuroImage|2009|328
Altered default mode network connectivity in alzheimer's disease—A resting functional MRI and bayesian network study
|Human Brain Mapping|2011|208
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review
|IEEE Transactions on Cognitive and Developmental Systems|2021|207
The nuclear transcription factor FoxG1 affects the sensitivity of mimetic aging hair cells to inflammation by regulating autophagy pathways
|Redox Biology|2019|169
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals
|Neurocomputing|2020|151