最近在看EEG+DL领域的自监督方法,尤其是对比学习,稍微做个学习记录。 《Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition》刊载在《Applied Intelligence》期刊上,对于大佬们来说,这期刊不值一提,但这篇论文的实验部分很充分,对于小菜鸡的我还是值得一看的。 Abstract & Introductio...
EEGCurrently, Fourier-based, wavelet-based, and Hilbert-based time–frequency techniques have generated considerable interest in classification studies for emotion recognition in human–computer interface investigations. Empirical mode decomposition (EMD), one of the Hilbert-based time–frequency techniques, ...
Karakas et al (2023) noted that review of videos (without EEG) to differentiate epileptic seizures (ES) from non-epileptic spells (NES) may be helpful where epilepsy monitoring is not feasible. Previous studies of video-based diagnosis have suffered from variable accuracy, sensitivity, and specif...
(2b) The prediction model was based on following predictors at day 3: extensor or absent motor responses to pain, myoclonus, absence of pupillary and corneal reflexes and a malignant EEG. Full size imageScore predictive of unfavorable outcome (GP-CPC 4 or 5)...
Deep learning networks have been widely used in motor imagery (MI) based brain-computer interface (BCI). This paper proposes a contrast predictive coding (CPC) framework based on the modified s-transform (MST) to generate MST-CPC feature representations. MST is used to acquire the temporal-...
Outcome at 6months was classified as good (cerebral performance category (CPC) 1 or 2) or poor (CPC 3, 4, or 5). Predictive values of EEG measures and cost-consequences from a hospital perspective were investigated, assuming EEG-based decision- making about withdrawal of life-sustaining ...
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, ict...
Then, based on the classic Multilayer Perceptron (MLP) network, we analyse the privacy leakage problem in FL, and Differential Privacy (DP) is used to protect the privacy of user EEG data. Next, we analyse the reason for the accuracy loss between FL and Centralized Learning (CL), and the...
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...