EEG data transmission over speech channel in the telephony system

Abstract

In this paper we present the most implementable scheme for transmitting 19 channels electroencephalography (EEG) and speech signals simultaneously using a speech channel of telephony system. The proposed system works based on re-sampling, multiplexing and filtering concepts. Re-sampling is applied to adjust EEG sampling frequency such that appropriate with speech signal sampling frequency. The 19 channels are time multiplexed then mixed with the speech to produce a transmitting signal. In the receiver side, speech and EEG are separated by filtering. Based on simulation result in the noise environment, the proposed system has successfully separated the speech and the EEG signals. The correlation coefficient between the received signals after separation and the original ones are more than 0.8 for EEG and more than 0.7 for speech in 30 dB SNR. Moreover, the proposed system has high possibility to be implemented with low computational complexity.