Olfaction electroencephalogram and wavelet packet-based method for classifying sensory substances
A technology of brain waves and wavelet packets, applied in sensors, medical science, diagnostic recording/measurement, etc., can solve the problems of doping subjective factors, not fully reflecting the real feeling of the human body, poor repeatability, etc., and achieve standardized and sensory evaluation The effect of simple process
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[0022] Materials and methods: 4 different samples (fruit juice, white wine, mature vinegar, beer) were selected, and their concentrations and raw materials are shown in Table 1 below:
[0023] Table 1 4 different samples
[0024]
[0025]
[0026] 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. average and other steps); then perform wavelet packet transformation on it to obtain the wavelet packet variance as the extracted signal feature; considering that the collected electrodes contain different regions, the electrode screening is carried out; finally, the selected feature value is sent to the corresponding classifier to obtain the final classification accuracy. The data processing flowchart of the present invention is as figu...
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