TF-C Pretrain SleepEEG
收藏Figshare2022-05-31 更新2026-04-08 收录
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https://figshare.com/articles/dataset/TF-C_Pretrain_SleepEEG/19930178/1
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资源简介：
- Paper: Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency - Paper link: - Github repo: https://github.com/mims-harvard/TFC-pretraining - Project website: <br> <strong>SleepEEG </strong>contains 153 whole-night sleeping Electroencephalography (EEG) recordings that monitored by sleep cassette. The data is collected from 82 healthy subjects. The 1-lead EEG signal is sampled at 100 Hz. We segment the EEG signals into segments (window size is 200) without overlapping and each segment forms a sample. Every sample is associated with one of the five sleeping patterns/stages: Wake (W), Non-rapid eye movement (N1, N2, N3) and Rapid Eye Movement (REM). <br> <br>
提供机构：
Tsiligkaridis, Theodoros; Zitnik, Marinka; Zhao, Ziyuan; Zhang, Xiang
创建时间：
2022-05-31
