Design And Implemention Of Carp Eeg Wireless Telemetry System

Brain-Computer Interface is the way of human-computer interaction which has developed in the field of neural engineering in recent years and it is the bridge of EEG and computer or the external electronic devices to communicate with each other. The key technologies of BCI are the extraction and identification of the neural control commands from the collected nerve signals as well as the control of the behavior of experimental animals through the simulation of an electronic device to neural commands. With the development technology of BCI, the research of biological robots become widely and deeply. Scientists tried to start from the feeling of motion and the innervated nerves and used the movement of organism and the power supply to achieve the motion and the behavior controls of the organism; they used the organism’s own expertise instead of human themselves to complete completed tasks which can not be finished by human beings or are not suitable for human beings to accomplish.In order to study the control mechanism of movement behavior of the carp brain to the carp, a wireless telemetry system of carp EEG was designed in this paper. The homemade microelectrodes were implanted into the specific area of the carp, the circuit systems were applied to gather freely carp EEG which was transported wirelessly to a PC for recording and analyzing carp EEG, all above these can provide reliable signals acquisition technologies for the carp behavior and the research related with EEG.The telemetry about the active carp EEG and data processing algorithms were studied and designed in this paper, which includes three parts:(1) the extraction, amplification and filtering of EEG signals;(2) microcontroller of STM32 L series of the STMicroelectronics company was used to achieve A/D conversion and digital signal preprocessing as well as the underwater wireless transmission for carp EEG, water treatments were taken in the circuits of(1) and(2);(3) PC software was designed by using the Processing language to control systems acquisition,display and record EEG data, and the collected data of carp EEG was filtered and denoised in the MATLAB platform.Due to the active carp EEG contains a lot of artifact noise, fast independent component analysis and wavelet transform method were adopted, the pretreatment research was implemented to the obtained carp EEG for filtering motion artifacts and noise in the carp EEG.