Simultaneous fMRI and EEG was measured for a total of 73 subjects EEG via a cap (modified BrainCapMR, Easycap, Herrsching, Germany) was recorded continuously during fMRI acquisition (1505 volumes of
Comparison of MAE for clinical sleep metrics for four-class sleep staging using SLAMSS with an inverse-frequency-weighted cross-entropy loss function (SLAMSS-IF) and SLAMSS with a real-world-weighted
该数据集是“Ear-EEG FM Benchmark”的预处理版本,以HDF5格式提供,旨在支持耳-EEG(耳周脑电图)与头皮EEG(脑电图)的基准测试和比较研究。数据集包含两个主要任务:听觉注意检测(AAD)和睡眠阶段分类。对于AAD任务,提供二元分类(左 vs 右)数据,包括头皮EEG变体(saad-eeg.h5)和耳-EEG变体(saad-ear-eeg.h5),分别包含27个和14个通道,
Nowadays, more and more machine learning models have emerged in the field of sleep staging. However, they have not been widely used in practical situations, which may be due to the non-comprehens