Olfactory EEG data set induced by odors with different types and concentrations

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:
Mon, 06/20/2022 - 20:43
DOI:
10.21227/59nx-6g46
License:
0
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Abstract 

The data set (induced by different odor types) collected using a Cerebus neural signal acquisition equipment involved thirteen odor stimulating materials, five of which (smelling like rose (A), caramel (B), rotten (C), canned peach (D), and excrement (E)) were selected from the T&T olfactometer (from the Daiichi Yakuhin Sangyo Co., Ltd., Japan) and the remaining eight from essential oils (i.e., mint (F), tea tree (G), coffee (H), rosemary (I), jasmine (J), lemon (K), vanilla (L) and lavender (M)).

The data set (induced by different odor concentrations) 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: 

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