An EEG dataset for interictal epileptiform discharge with spatial distribution information
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/An_EEG_dataset_for_interictal_epileptiform_discharge_with_spatial_distribution_information/28069568
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains annotated interictal epileptiform discharge (IED) from 84 patients (Peking Union Medical College Hospital, China), each contributing 20 minutes of continuous raw EEG recordings, using MAT format. The IEDs are categorized into five types based on occurrence regions. The states of consciousness (wake/sleep) are annotated.
Note on version 2:
The dataset has been updated. Specifically, a total of 37 annotations (31 deletions and 6 updates) were adjusted to ensure accuracy and consistency for analysis. These annotations were modified due to their atypical characteristics, differing from conventional interictal epileptiform discharges (IEDs). This refined dataset represents the final version used for training and validation in our associated paper entitled “An EEG dataset for interictal epileptiform discharges with spatial distribution information”.
The specific changes of annotations are listed as follow:
MAT_Files:
DA00103C.mat Delete:['305.846', '0', '!']
DA00100Z.mat Delete:['142.686', '0', '!']
DA00102T.mat Delete:['213.124', '0', '!'], ['388.27', '0', '!'], Update:['213.78', '0', '!end'] -> ['211.78', '0', '!end']
DA00102W.mat Delete:['48.274', '0', '!'], ['438.406', '0', '!'], ['516.94', '0', '!'], ['576.554', '0', '!']
DA00102Y.mat Delete:['605.436', '0', '!']
DA00103B.mat Delete:['1173.344', '0', '!']
DA00103I.mat Update:['1128.746', '0', '!end'] -> ['1127.746', '0', '!end']
DA00103K.mat Delete:['485.026', '0', '!']
DA00103M.mat Delete:['45.006', '0', '!'], ['76.166', '0', '!'], ['108.226', '0', '!'], ['189.608', '0', '!'], ['537.642', '0', '!']
DA00103N.mat Update:['1196.27', '0', '!end'] -> ['1195.27', '0', '!end']
DA00103Q.mat Delete:['696.692', '0', '!'], ['1213.206', '0', '!'], Update:['632.1', '0', '!'] -> ['632.2', '0', '!']
DA00103U.mat Delete:['1076.12', '0', '!'], ['1208.146', '0', '!'], ['1210.474', '0', '!'], ['1211.242', '0', '!']
DA00100S.mat Delete:['1204.8', '0', '!']
DA00103O.mat Delete:['12.542', '0', '!']
DA00103S.mat Delete:['1173.22', '0', '!']
DA001010.mat Delete:['1185.496', '0', '!']
DA001031.mat Delete:['0.684', '0', '!'], ['222.106', '0', '!']
DA00103E.mat Delete:['862.716', '0', '!']
DA00100V.mat Delete:['768.154', '0', '!'],['768.532', '0', '!']
DA00102R.mat Update:['552.244', '0', '!end'] →['551.244', '0', '!end'],['704.172', '0', '!end'] →['703.172', '0', '!end']
The changes in MAT_Files result in alterations in the npy_files:
DA00103C_152000_154000_500__5.npy(Occipital-IED) -> DA00103C_152000_154000_500__0.npy(Non-IED)
DA00100Z_70000_72000_500__2.npy(Frontal-IED) -> DA00100Z_70000_72000_500__0.npy (Non-IED)
DA00102W_24000_26000_500__3.npy(Temporal-IED) -> DA00102W_24000_26000_500__0.npy (Non-IED)
DA00102W_218000_220000_500__3.npy(Temporal-IED) -> DA00102W_218000_220000_500__0.npy (Non-IED)
DA00102W_258000_260000_500__3.npy(Temporal-IED) -> DA00102W_258000_260000_500__0.npy(Non-IED)
DA00102Y_302000_304000_500__4.npy(Centro-Parietal-IED) -> DA00102Y_302000_304000_500__0.npy(Non-IED)
DA00103M_22000_24000_500__2.npy(Frontal-IED) -> DA00103M_22000_24000_500__0.npy(Non-IED)
DA00103M_94000_96000_500__2.npy(Frontal-IED) -> DA00103M_94000_96000_500__0.npy(Non-IED)
DA00103M_268000_270000_500__2.npy(Frontal-IED) -> DA00103M_268000_270000_500__0.npy(Non-IED)
DA00103U_604000_606000_500__3.npy(Temporal-IED) -> DA00103U_604000_606000_500__0.npy(Non-IED)
DA00103C_170000_172000_500__0.npy(Non-IED) -> DA00103C_170000_172000_500__5.npy(Occipital-IED)
DA00100Z_0_2000_500__0.npy(Non-IED) -> DA00100Z_0_2000_500__2.npy(Frontal-IED)
DA00102W_124000_126000_500__0.npy(Non-IED) -> DA00102W_124000_126000_500__3.npy(Temporal-IED)
DA00102W_242000_244000_500__0.npy(Non-IED) -> DA00102W_242000_244000_500__3.npy(Temporal-IED)
DA00102W_268000_270000_500__0.npy(Non-IED) -> DA00102W_268000_270000_500__3.npy(Temporal-IED)
DA00102Y_612000_614000_500__0.npy(Non-IED) -> DA00102Y_612000_614000_500__4.npy(Centro-Parietal-IED)
DA00103M_30000_32000_500__0.npy(Non-IED) -> DA00103M_30000_32000_500__2.npy(Frontal-IED)
DA00103M_96000_98000_500__0.npy(Non-IED) -> DA00103M_96000_98000_500__2.npy(Frontal-IED)
DA00103M_568000_570000_500__0.npy(Non-IED) -> DA00103M_568000_570000_500__2.npy(Frontal-IED)
DA00103U_606000_607500_500__0.npy(Non-IED) -> DA00103U_606000_607500_500__3.npy(Temporal-IED)
本数据集包含来自中国北京协和医院的84例患者的标注发作间期痫样放电(interictal epileptiform discharge, IED)数据,每例患者提供20分钟连续原始脑电图(electroencephalogram, EEG)录音,文件格式为MAT。发作间期痫样放电依据发作区域被划分为五种类型,同时同步标注了意识状态(清醒/睡眠)。
### 版本2更新说明
本数据集已完成迭代更新。为确保分析所用标注的准确性与一致性,共调整了37处标注项(其中31处为删除操作,6处为更新操作),这些待调整的标注因具备非典型特征,与常规发作间期痫样放电存在明显差异。本优化后的数据集为我们发表于论文《具备空间分布信息的发作间期痫样放电脑电图数据集》中用于模型训练与验证的最终版本。
### 具体标注修改详情
#### MAT文件标注调整
1. DA00103C.mat:删除标注项['305.846', '0', '!']
2. DA00100Z.mat:删除标注项['142.686', '0', '!']
3. DA00102T.mat:删除标注项['213.124', '0', '!']、['388.27', '0', '!'];将标注项['213.78', '0', '!end']更新为['211.78', '0', '!end']
4. DA00102W.mat:删除标注项['48.274', '0', '!']、['438.406', '0', '!']、['516.94', '0', '!']、['576.554', '0', '!']
5. DA00102Y.mat:删除标注项['605.436', '0', '!']
6. DA00103B.mat:删除标注项['1173.344', '0', '!']
7. DA00103I.mat:将标注项['1128.746', '0', '!end']更新为['1127.746', '0', '!end']
8. DA00103K.mat:删除标注项['485.026', '0', '!']
9. DA00103M.mat:删除标注项['45.006', '0', '!']、['76.166', '0', '!']、['108.226', '0', '!']、['189.608', '0', '!']、['537.642', '0', '!']
10. DA00103N.mat:将标注项['1196.27', '0', '!end']更新为['1195.27', '0', '!end']
11. DA00103Q.mat:删除标注项['696.692', '0', '!']、['1213.206', '0', '!'];将标注项['632.1', '0', '!']更新为['632.2', '0', '!']
12. DA00103U.mat:删除标注项['1076.12', '0', '!']、['1208.146', '0', '!']、['1210.474', '0', '!']、['1211.242', '0', '!']
13. DA00100S.mat:删除标注项['1204.8', '0', '!']
14. DA00103O.mat:删除标注项['12.542', '0', '!']
15. DA00103S.mat:删除标注项['1173.22', '0', '!']
16. DA001010.mat:删除标注项['1185.496', '0', '!']
17. DA001031.mat:删除标注项['0.684', '0', '!']、['222.106', '0', '!']
18. DA00103E.mat:删除标注项['862.716', '0', '!']
19. DA00100V.mat:删除标注项['768.154', '0', '!']、['768.532', '0', '!']
20. DA00102R.mat:将标注项['552.244', '0', '!end']更新为['551.244', '0', '!end'],将标注项['704.172', '0', '!end']更新为['703.172', '0', '!end']
#### 对应NPY文件标注变更
由于MAT文件的标注调整,相关NPY文件的标注同步发生变更:
1. DA00103C_152000_154000_500__5.npy(枕叶-IED)→ DA00103C_152000_154000_500__0.npy(非IED)
2. DA00100Z_70000_72000_500__2.npy(额叶-IED)→ DA00100Z_70000_72000_500__0.npy(非IED)
3. DA00102W_24000_26000_500__3.npy(颞叶-IED)→ DA00102W_24000_26000_500__0.npy(非IED)
4. DA00102W_218000_220000_500__3.npy(颞叶-IED)→ DA00102W_218000_220000_500__0.npy(非IED)
5. DA00102W_258000_260000_500__3.npy(颞叶-IED)→ DA00102W_258000_260000_500__0.npy(非IED)
6. DA00102Y_302000_304000_500__4.npy(中央顶叶-IED)→ DA00102Y_302000_304000_500__0.npy(非IED)
7. DA00103M_22000_24000_500__2.npy(额叶-IED)→ DA00103M_22000_24000_500__0.npy(非IED)
8. DA00103M_94000_96000_500__2.npy(额叶-IED)→ DA00103M_94000_96000_500__0.npy(非IED)
9. DA00103M_268000_270000_500__2.npy(额叶-IED)→ DA00103M_268000_270000_500__0.npy(非IED)
10. DA00103U_604000_606000_500__3.npy(颞叶-IED)→ DA00103U_604000_606000_500__0.npy(非IED)
11. DA00103C_170000_172000_500__0.npy(非IED)→ DA00103C_170000_172000_500__5.npy(枕叶-IED)
12. DA00100Z_0_2000_500__0.npy(非IED)→ DA00100Z_0_2000_500__2.npy(额叶-IED)
13. DA00102W_124000_126000_500__0.npy(非IED)→ DA00102W_124000_126000_500__3.npy(颞叶-IED)
14. DA00102W_242000_244000_500__0.npy(非IED)→ DA00102W_242000_244000_500__3.npy(颞叶-IED)
15. DA00102W_268000_270000_500__0.npy(非IED)→ DA00102W_268000_270000_500__3.npy(颞叶-IED)
16. DA00102Y_612000_614000_500__0.npy(非IED)→ DA00102Y_612000_614000_500__4.npy(中央顶叶-IED)
17. DA00103M_30000_32000_500__0.npy(非IED)→ DA00103M_30000_32000_500__2.npy(额叶-IED)
18. DA00103M_96000_98000_500__0.npy(非IED)→ DA00103M_96000_98000_500__2.npy(额叶-IED)
19. DA00103M_568000_570000_500__0.npy(非IED)→ DA00103M_568000_570000_500__2.npy(额叶-IED)
20. DA00103U_606000_607500_500__0.npy(非IED)→ DA00103U_606000_607500_500__3.npy(颞叶-IED)
创建时间:
2025-02-08



