Signal processing algorithms based on evolutionary optimization techniques in the BCI: A review
R Janapati, V Dalal, N Govardhan… - Computational Vision and …, 2021 - Springer
Brain–computer interfaces (BCIs) collect, analyze and transform brain signals into
commands that are linked to desirable tasks involved by target equipment. The feature …
commands that are linked to desirable tasks involved by target equipment. The feature …
Toward CNN-based motor-imagery EEG classification with fuzzy fusion
JX Huang, CY Hsieh, YL Huang, CS Wei - International Journal of Fuzzy …, 2022 - Springer
Recently, decoding human electroencephalographic (EEG) data using convolutional neural
network (CNN) has driven the state-of-the-art recognition of motor-imagery EEG patterns for …
network (CNN) has driven the state-of-the-art recognition of motor-imagery EEG patterns for …
Online dictionary learning for sparse representation-based classification of motor imagery EEG
V Sharghian, TY Rezaii, A Farzamnia… - 2019 27th Iranian …, 2019 - ieeexplore.ieee.org
The use of Motor Imagery (MI) EEG signals in implementation of Brain-Computer Interfaces
(BCIs) has been increased during recent years. Simpler interaction of users with these types …
(BCIs) has been increased during recent years. Simpler interaction of users with these types …
Fuzzy integral with particle swarm optimization for CNN-based motor-imagery EEG classification
JX Huang, YL Huang, CY Hsieh, CS Wei - bioRxiv, 2021 - biorxiv.org
Recently, decoding human electroencephalographic (EEG) data using convolutional neural
network (CNN) has driven the state-of-the-art recognition of motor-imagery EEG patterns for …
network (CNN) has driven the state-of-the-art recognition of motor-imagery EEG patterns for …
EEG-Based Recognition Method of Intentional and Unintentional Hand Movement
We present an electroencephalogram (EEG) signals-based method to distinguish intentional
and unintentional hand movements by using the optimized linear discriminant analysis …
and unintentional hand movements by using the optimized linear discriminant analysis …
Bayesian approach for brain-computer interface using feature fusion techniques
K Aswinseshadri, VT Bai - International Journal of …, 2019 - inderscienceonline.com
A'brain-computer interface (BCI)'enables control of devices or communication with brain
activity without using muscles. It has been successfully used in scientific, therapeutic …
activity without using muscles. It has been successfully used in scientific, therapeutic …