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[HTML][HTML] Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …
any physical movement, thus aiding people with severe motor disabilities in communicating …
Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot
This paper introduces the use of the one-dimensional convolutional neural network (1D-
CNN) for end-to-end EEG decoding with application towards a BCI system with a shared …
CNN) for end-to-end EEG decoding with application towards a BCI system with a shared …
Development of EEG-based system to identify student learning attention ability
It cannot be denied that teaching and learning are vital in education systems regardless of
the level of education either in primary school, secondary school or higher institution. The …
the level of education either in primary school, secondary school or higher institution. The …
Investigation of time-domain and frequency-domain based features to classify the eeg auditory evoked potentials (aeps) responses
The auditory evoked potentials (AEPs) are a kind of electroencephalographic (EEG) signal
that is produced by an acoustic stimulus from the region of the brain. The people who are …
that is produced by an acoustic stimulus from the region of the brain. The people who are …
Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach
Hearing loss has become the world's most widespread sensory impairment. The
applicability of a traditional hearing test is limited as it allows the subject to provide a direct …
applicability of a traditional hearing test is limited as it allows the subject to provide a direct …