EEG data evoked by Different Odor Concentrations established by Tianjin University (EegDoc)

Citation Author(s):
Qing-Hao
Meng
Institute of Robotics and Autonomous Systems, School of Electrical and Information Engineering, Tianjin University
Hui-Rang
Hou
Institute of Robotics and Autonomous Systems, School of Electrical and Information Engineering, Tianjin University
Submitted by:
Hui-Rang Hou
Last updated:
Sun, 01/15/2023 - 05:07
DOI:
10.21227/nvbw-pf41
Research Article Link:
A double-square-based electrode sequence learning method for odor concentration identification using EEG signals
License:
Creative Commons Attribution
495 Views
Categories:
Signal Processing
Machine Learning
Neuroscience
Keywords:
Olfactory EEG; odor concentration; affective computing; pattern recognition
0
0 ratings - Please login to submit your rating.
ACCESS DATASET CITE SHARE/EMBED

Abstract 

The EegDoc data set collected using a Cerebus neural signal acquisition equipment involved 2 types of odors (smelling like roses and rotten odors), each with 5 concentrations. Five concentrations of the rose odor are expressed as A10-3.0 (A30), A10-3.5 (A35), A10-4.0 (A40), A10-4.5 (A45) and A10-5.0 (A50), and five concentrations of the rotten odor are expressed as C10-4.0 (C40), C10-4.5 (C45), C10-5.0 (C50), C10-5.5 (C55) and C10-6.0 (C60).

Instructions: 

Participants: 13 health postgraduates aged 24.9 ± 2.3, including 12 males and 1 females

Experimental Environment: Soundproof olfactory EEG Laboratory

EEG Signal Acquisition Equipment: Cerebus equipment

Electrode Cap: 32 channels. The electrodes are arranged according to the international 10-20 system. Except 2 reference electrodes at mastoid, 30 electrodes are used for data classification.

Sampling Rate: 1k Hz

Sampling Duration: 10 s

        Sample Size: 35 EEG samples were collected for each participant smelling each odor concentration, a total of 13 (number of participants) × 2 (number of odor types) × 5 (number of concentrations of each odor type) × 35 = 4550 EEG samples.

Comments

access dataset

Submitted by Sining Yan on Thu, 06/30/2022 - 00:28

Any reason why you mention "Soundproof olfactory EEG Laboratory"?

Submitted by Sunil Kumar Kop... on Wed, 09/28/2022 - 05:34

Dataset Files

LOGIN TO ACCESS DATASET FILES

Documentation

AttachmentSize
File Explanation of olfactory EEG data set induced by different odor concentrations.docx18.36 KB

 

QUESTIONS?