自监督学习的研究进展总结,CV和NLP的经典自监督学习归纳和举例,如word2vec, Bert和InstDis(Instance Discrimination)等等,然后说到了EEG自监督的进展,如用GAN做EEG的自监督学习方法。进入正题:EEG的对比学习自监督的进展,如把Contrastive Predictive Coding (CPC)应用进EEG的对比学习等。 Method: SGMC主要分为五个部分...
For emotion recognition, the SJTU emotion EEG dataset (SEED) is classified using deep learning methods. Convolutional neural networks (AlexNet, DenseNet-201, ResNet-101, and ResNet50) and AutoKeras architectures are selected for image classification. The proposed framework reaches 99% and 100% ...
lCalsas4sifs.i2icfA.aicpCtapiollt.ainSoscnsoii.ffi2oA0cf1aAr7tt,irio7ct,nli1ec2sole3fbs9AybryAtiApcplpelpsiclbaicytaioAtinopnpDlDiocmaotmaiioanninaDnaodnmdFaiFeinlideladnd Field 12 of 34 12 of 34 WWe efufru44t..rh22tWe..hrCCeeclrlaalfcassuslssaiirsffsitiiccshfaaieefttiiirdoeonndtch...
Yao, "EEG/fMRI fusion based on independent component analysis: integration of data-driven and modeldriven methods," Journal of Integrative Neuroscience, 2012 vol. 11, pp. 1-25.Lei, X., Valdes-Sosa, P. A., and Yao, D. (2012b). EEG/fMRI fusion based on independent component analysis: ...
ClassificationClassifying single-trial electroencephalogram (EEG) based motor imagery (MI) tasks is extensively used to control brain-computer interface (BCI) applications, as a communication bridge between humans and computers. However, the low signal-to-noise rati...
Neurological outcome was evaluated using the CPC scale at 3 months (CPC 3鈥 5 defining a poor outcome).Participants were 64 years old (IQR [53; 72,5]), and 74% were male. 83% were out-of-hospital CA and 48% were initial shockable rhythm. Electrographic seizures were observed in 5% ...
Fathima T, Bedeeuzzaman M, Joseph PK, Wavelet based features for classification of normal, ictal and interictal EEG signals, J Med Imaging Health Inf 3:301-305, 2013.Thasneem, F., Bedeeuzzaman, M., & Paul, J. (2013). Wavelet based features for classification of normal, icta...
Kalman FilterAkima Spline InterpolationEnsemble Empirical Mode DecompositionLong Term Short Term MemoryEpilepsy is an incessant neurological disorder. The Epilepsy seizures are generated due to the aggravation in transient signals in Cerebrum. These seizures can be detected by analyzing the Electroence...
Morteza Zangeneh Soroush, Keivan Maghooli, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi, "A Novel Method of EEG-Based Emotion Recognition Using Nonlinear Features Variability and Dempster-Shafer Theory" Biomedical Engineering: Applications, Basis and Communications, World Scientific, [61] M. Amjad...
differential privacyunbalanced EEG datasleep stagingEEG is a personal privacy information, that is difficult to share data and not conducive to the study of sleep staging. In this paper, the Federated Learning (FL) method is introduced to solve the problem of data island in sleep staging EEG ...