Design And Clinical Application Of Acquisition System Based On EEG-NIRS

Near infrared spectroscopy(NIRS)is a noninvasive brain function analysis tool with high spatial resolution for the analysis of local cerebral oxygen metabolism;EEG has a high temporal resolution for the analysis of the brain Active discharge information.Combining NIRS and EEG technologies can take advantage of each other's spatial and temporal resolution,and is a new direction for brain function analysis.They are applied to the analysis of anesthesia awareness,can analyze the state of the brain from multiple perspectives,and help to improve the accuracy of the analysis.Firstly,this paper introduces the characteristics and classification of EEG and near infrared technology.By comparing the characteristics and advantages and disadvantages of different monitoring methods of near infrared,the continuous wave analysis method with good stability and high cost is selected as the system near infrared design.Aiming at the actual environment of clinical anesthesia,the design method of each part of EEG-NIRS system was analyzed.In order to improve the fastness of sensor placement,a replaceable design was designed.In order to prevent ambient light interference,Using the design method,and through simulation to determine the effectiveness of this method;in order to reduce the volume and reduce the external lines,to take the WIFI communication.The SGSF algorithm is used in the preprocessing of EEG-NIRS data.The superiority of the EEG-NIRS data is analyzed by comparing with different filtering methods.The advantages of it in dealing with the random noise of EEG-NIRS are analyzed.Infrared signals contained in the various types of physiological signals,and the noise to do a good removal.Finally,the validity of the near infrared part is verified by comparing with the anticonvulation of NIRX.The acquisition of alpha wave in EEG acquisition experiment proves that the EEG acquisition part of the system is in accordance with the expectation.For the clinical anesthesia EEG data using the sorting entropy algorithm for analysis,the depth of anesthesia indicators.For near infrared data,by calculating the relative concentration of oxygenated hemoglobin,deoxyhemoglobin and total hemoglobin,pointed out its correlation with changes in EEG,proved anesthesia in the brain and the coupling of local cerebral oxygen metabolism.