Automatic channel selection using multi-objective prioritized jellyfish search (MPJS) algorithm for motor imagery classification using modified DB-EEGNET
DS Vadivelan, P Sethuramalingam - Neural Computing and Applications, 2025 - Springer
A brain–computer interface (BCI) enables the device to communicate directly with the brain
by decoding neural signals, particularly electroencephalograms (EEGs). EEG signals are …
by decoding neural signals, particularly electroencephalograms (EEGs). EEG signals are …
EEG-Based Multi-Class Classification for Recognizing Pedaling Velocities: A Promising Approach for Brain-Computer Interface-Enhanced Lower-Limb Robotic …
Lower-limb robotic rehabilitation devices have shown promising results in restoring
functional activities of individuals with motor impairments. Motorized Mini-Exercise Bikes …
functional activities of individuals with motor impairments. Motorized Mini-Exercise Bikes …
[PDF][PDF] Implementasi Deep Learning untuk Klasifikasi Motor Imagery pada Sinyal EEG
Electroencephalography (EEG) adalah teknik yang digunakan untuk merekam aktivitas
listrik otak melalui sensor yang ditempatkan pada kulit kepala. Salah satu area penelitian …
listrik otak melalui sensor yang ditempatkan pada kulit kepala. Salah satu area penelitian …