Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot

TA Izzuddin, NM Safri, MA Othman - Neural Computing and Applications, 2021 - Springer
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 …

Development of EEG-based system to identify student learning attention ability

N Sulaiman, N Ismail, MN Islam, M Rashid… - Proceedings of the 12th …, 2022 - Springer
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 …

Investigation of time-domain and frequency-domain based features to classify the eeg auditory evoked potentials (aeps) responses

MN Islam, N Sulaiman, M Rashid, M Mustafa… - Recent Trends in …, 2022 - Springer
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 …

Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach

MN Islam, N Sulaiman, M Rashid, M Mustafa… - Proceedings of the 12th …, 2022 - Springer
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 …