48 citations · 58 across the 16 of their papers we have counts for
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eess.SP2022★ 1 cited
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism
Navid Ayoobi, Elnaz Banan Sadeghian
Detecting the salient parts of motor-imagery electroencephalogram (MI-EEG) signals can enhance the performance of the brain-computer interface (BCI) system and reduce the computati…
eess.SP2022★ 1 cited
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder
Navid Ayoobi, Elnaz Banan Sadeghian
A calibration procedure is required in motor imagery-based brain-computer interface (MI-BCI) to tune the system for new users. This procedure is time-consuming and prevents naïve u…
eess.SP2022★ 1 cited
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm
Navid Ayoobi, Elnaz Banan Sadeghian
In a self-paced motor-imagery brain-computer interface (MI-BCI), the onsets of the MI commands presented in a continuous electroencephalogram (EEG) signal are unknown. To detect th…