|
|
@@ -37,7 +37,7 @@ authors:
|
|
|
id: 'ORCID:0000-0002-9439-2695'
|
|
|
|
|
|
|
|
|
-title: "How Many Data are Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings"
|
|
|
+title: "How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings"
|
|
|
|
|
|
description:
|
|
|
This EEG dataset, used for EMG artifact detection in EEG recordings, contains both artifact-contaminated signals and resting-state eyes-open (EO) signals. It includes 932 npy files of EEG recordings from seven subjects, consisting of 664 artifact-containing epochs and 268 EO epochs.
|
|
|
@@ -61,7 +61,7 @@ references:
|
|
|
-
|
|
|
id: 'doi:tba'
|
|
|
reftype: "IsSupplementTo"
|
|
|
- citation: "Lu Wang-Nöth, Philipp Heiler, Hai Huang, Daniel Lichtenstern, Alexandra Reichenbach, Luis Flacke, Linus Maisch, Helmut Mayer: How Many Data are Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings. Journal of Neural Engineering. To be submitted."
|
|
|
+ citation: "Lu Wang-Nöth, Philipp Heiler, Hai Huang, Daniel Lichtenstern, Alexandra Reichenbach, Luis Flacke, Linus Maisch, Helmut Mayer: How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings. Journal of Neural Engineering. To be submitted."
|
|
|
|
|
|
resourcetype: Dataset
|
|
|
templateversion: 1.2
|
Lu Wang-Nöth