The Correlation Between Eeg Rhythms And Salt Intensity Using The Method Of Capturing The Onset Time Of Eeg Responses

Electroencephalography(EEG)is a technique used to measure brain electrical activity.It involves placing electrodes on the scalp to record the electrical activity of neurons in the brain.EEG signals can typically measure brain activity across various frequency ranges,such as Delta,Theta,Alpha,Beta,and Gamma rhythms.EEG is valuable for studying the cognitive and perceptual functions of the brain.In the case of the gustatory system,which is the most fundamental sensory system,taste-related physiological responses occur when taste stimuli are delivered to the oral cavity and transmitted to the brain through neural pathways.These responses can be recorded using EEG.The objective of this paper is to explore the gustatory system using EEG signals and propose a method for capturing the onset of brain responses to extract meaningful taste-related EEG data.The paper also introduces an analysis framework based on wavelet packet transform to analyze the correlation between EEG rhythms and the intensity levels of salty taste.Initially,this study constructs a stimulation delivery device consisting of control software and hardware systems.The device facilitates the automatic delivery of stimulus solutions,enabling the acquisition of EEG signals while subjects receive different concentrations of NaCl solution stimuli.The control software,developed using Qt Creator(Qt),provides a visual interface,while the hardware system incorporates a microcontroller(STM32F103)with millisecond-level hardware timers to ensure precise control.Experimenters input customized stimulus sequences into the control software and send them to the hardware system for execution.After device calibration,the setup provides support for subsequent EEG signal acquisition.Secondly,the paper analyzes the mechanisms of brain responses and employs the selfdesigned taste stimulation delivery device to deliver stimulus solutions.High temporal resolution EEG is used to capture brain responses during taste stimulation.EEG signals are collected for five different concentrations of NaCl solution stimuli.Analysis and noise removal techniques,including a 50 Hz adaptive notch filter,a low-pass filter with a cutoff frequency of 50 Hz,and detrending,are applied to preprocess the EEG signals.Then,Due to variations in the duration of response latency in brain activity,this study proposes a statistical method for capturing the onset of brain responses from high temporal resolution EEG signals.The method utilizes the dispersion of EEG signals as the primary feature to describe brain responses.By adjusting the capture factor,the onset of brain responses can be more accurately identified.The effectiveness of the proposed method is validated through analyses of preprocessed EEG signals,including Global Field Power(GFP),average EEG topography maps,and taste perception recognition.Following that,the paper employs the method for capturing the onset of brain responses to extract meaningful taste-related EEG data from preprocessed signals.Wavelet packet transform is used to obtain five types of EEG rhythm data.A random forest model is then constructed to classify the intensity levels of salty taste.The correlation between EEG rhythms and intensity levels is analyzed.The results reveal that the Delta rhythm outperforms other rhythms in recognizing the intensity levels of salty taste and almost encompasses all salty taste-related information.Finally,the results are summarized and insights for future research are provided.In this paper,we propose an analytical framework that captures the initial response time of EEG and wavelet packet transform,which is helpful to understand the response of EEG to saltiness,and provides a useful exploration idea for the research of taste perception and brain mechanism.