Efficient deep neural networks for classification of Alzheimer's disease and mild cognitive impairment from scalp EEG recordings
The early diagnosis of subjects with mild cognitive impairment (MCI) is an effective
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
A Permanency Investigation of SSVEP Signals in Brain Biometrics
Y Zhang, M Li, H Shen, D Hu - 2021 IEEE 4th International …, 2021 - ieeexplore.ieee.org
Electroencephalograph (EEG) which reflects brain electrical activity has recently been found
to have great potential in the field of biometric identification due to its unique advantages …
to have great potential in the field of biometric identification due to its unique advantages …
Motor imagery EEG decoding based on multi-loss fusion FBCNet
F Rong, B Yang, J Ma, S Gao, X Xia - Proceedings of the 7th …, 2022 - dl.acm.org
Brain-computer interfaces (BCI) enable direct communication with external equipment, using
neural activity as the control signal. Electroencephalogram (EEG) signals are usually …
neural activity as the control signal. Electroencephalogram (EEG) signals are usually …