Olfaction electroencephalogram-based method for classifying sensory substances
A brain wave and olfactory technology, applied in sensors, medical science, diagnostic recording/measurement, etc., can solve problems such as poor repeatability, inability to fully reflect the real human body, and doping with subjective factors, so as to achieve a simple and rigorous sensory evaluation process and scientific, cost-reducing effect
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[0021] Materials and methods: 3 different brands of beer (Tsingtao, Cordon Bleu, Harbin) were selected, and their alcohol concentrations and raw materials are shown in Table 1 below:
[0022] Table 1 Samples of 3 different brands of beer
[0023]
[0024] In terms of olfactory EEG signal analysis, the EEG signals used are self-collected data in the laboratory. After the original EEG signals are collected, EEG preprocessing is performed first (including deleting bad areas, filtering out 50Hz power frequency interference, and superimposing data. averaging, wavelet transform, etc.); considering that the collected electrodes contain different regions, electrode screening is performed to select electrodes related to smell; then nonlinear analysis is performed on it to extract Lempel-Ziv complexity (LZC), sample entropy And the spectral entropy is used as the feature value; finally, the selected feature value is sent to the corresponding classifier to obtain the final classificat...
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