Research on the communication performance of ECoG signal transmission via human body communication

With the development of body area network technology and brain neuroscience, the study of electroencephalogram signals has been increasingly emphasized by academics. However, more research on electrocorticography (ECoG) still needs to be carried out. In this study, the communication performance of ECoG signal transmission via the human body and the influence of port structure on their transmission are thoroughly investigated. First, we use the finite difference time domain method to model the head system accurately in conjunction with the electromagnetic properties of human tissues, which reveals the multipath propagation phenomenon in communication. Second, based on our previous research results, we compare the system bit error rate (BER) under phase shift keying (PSK) and frequency shift keying (FSK) modulation modes and further explore the link budget of the system under these two modulation modes. Finally, we analyze the potential impact of the transceiver structural parameters on the signal transmission characteristics. The results show that the power delay in the communication link exhibits a second-order exponential decay function distribution and that the inter-path delay and delay spread follow a Weibull distribution. Under certain BER conditions, PSK reduces the signal-to-noise requirement by 3.2 dB compared to FSK modulation, which is more suitable for head-end channel transmission. In addition, variations in the size and angle of the electrode disks at the transmitter and receiver have little effect on the transmission results.