Electroencephalogram(EEG)is a bioelectrical signal produced by the normal physiological activities of brain nerve cells,similar to ECG,EEG is a reflection of the physiological state of the brain to a certain extent,it can be used to detect the physiological and psychological state of a person,and can provide diagnostic information for brain diseases such as epilepsy,dementia,and tumors or brain death.In recent years,with the rapid development of Brain-Computer Interface(BCI)technology,EEG has received more attention.The initial research of BCI technology was to help deaf and disabled people.With the rapid development of disciplines such as neuromedicine,cognitive psychology and artificial intelligence,BCI technology has been applied in many fields,such as medical rehabilitation,intelligent control,gaming and entertainment,and even military.Whether it is convenient to obtain EEG signals and whether the EEG signals obtained are reliable will directly affect the performance and application scenarios of BCI.The performance of EEG acquisition system is particularly important.This paper mainly proposes a portable wearable EEG acquisition system design.The work of the thesis focuses on the research and design of EEG acquisition system,system performance test and offline data analysis.The specific main work is as follows:A portable wearable EEG acquisition system design scheme is proposed.Some shortcomings of the traditional EEG acquisition system have been improved in the design scheme:the electrode,using the new dry electrode,greatly simplified the complexity of the EEG acquisition process;data transmission,the collected EEG data is transmitted to the host computer software for processing using the Bluetooth module,it breaks the limitations of the traditional EEG acquisition system.Completed the development of the portable wearable EEG acquisition system,including hardware development and software development.The hardware development part mainly designs the circuit modules of EEG acquisition equipment.Software development includes two parts:embedded software and Windows application software.Designed and completed the system performance test experiment,and the main theoretical basis was the steady-state visual evoked potential feature of EEG.The main work is:steady-state visual evoked potential visual stimulator design,steady-state visual evoked potential experiment and offline data analysis.At the end of the paper,the system debugging and test experiments were carried out on the EEG acquisition system.The test results show that the EEG acquisition system has stable performance,reliable data and basically meet the design requirements.Compared with the traditional EEG acquisition device,this design simplifies the complexity of the EEG acquisition process,reduces the system volume and weight,and has broad application prospects in the future BCI field. |