Human body can be used as a transmission medium for electrical signals which offers a novel data communication in biomedical monitoring systems. Human Body communication channel (on-body) may be proven as promising solution for Wireless Body Area networks (WBANs) in terms of simplicity, reliability, power-efficiency and security. In this paper, an algorithm is developed using MATLAB software for estimation and equalization of data traveled across human body transmission medium in the presence of EM noise. The human body is characterized based on ETRI’s measurements as transmission channel (FIR Filter). An electric current is transmitted using signal electrode placed on body, within a specified frequency range of several MHz and received by signal electrode placed at other location(on body). The received noisy channel output data processing is done using constant modulus algorithm for batch equalization. The transmitted bits are extracted from received noisy data with no error bits i. e. a signal to error ratio (SER) near to zero is achieved. Results indicate that noise is effectively suppressed and error is converged over the HBC channel using adaptive CMA equalization.

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Human Body Communication Body Area Network Signal electrode CMA Equalization