Dataset of the visual EEG oddball paradigm with young and older age group
Authors/Creators
- 1. Jozef Stefan Institute, Dept. of Knowledge Technologies
- 2. Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia and Biological Psychology and Neuroergonomics, Department of Psychology and Ergonomics, Faculty V: Mechanical Engineering and Transport Systems, Technische Universität Berlin, Berlin, Germany
- 3. Department of Health Sciences, Alma Mater Europaea – ECM, Maribor, Slovenia
Description
The data accompanies the research described in yet unpublished paper: "On the influence of aging on classification performance in the visual EEG oddball paradigm using statistical and temporal features" by Omejc, N., Peskar, M., Miladinović, A., Kavcic, V., Džeroski, S., Marusic, U.
The package includes raw data, that were measured by 32-channel EEG set and stored as hpf5 file, preprocessed data. that were preprocessed using custom scripts that utilize EEGLAB and its plugins, and data that was at the end used in the classification task and includes two types of datasets, one with temporal features and another with ERP statistical features, as in more detail described in the paper. Additionally, the package includes locations of 32 channels on the head, the event mappings for both the older and the younger group, as well as some general information about the subjects.
Files
data_2023_ERP_aging_classification_paper.zip
Files
(1.4 GB)
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md5:def114e479c05dd2d2e4fe202e51dd5b
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