Adaptive Equalization Algorithm for Electrocardiogram Signal Transmission

The proposed work is based on the mathematical analysis of steepest descent stochastic gradient weight updating method for the adaptive cancellation of intersymbol interference in Electrocardiogram (ECG) signal transmission over wireless networks. The major challenge associated with the physiological signal transmission over high data rate band limited digital communication systems is prone to Intersymbol Interference (ISI). In those cases, adjacent symbols on the output of the signal overlap each other which results in irreducible errors as a result of ISI. This work investigates the performance of proposed weight updating method based adaptive equalization technique for estimating the original transmitted ECG signal from the noise corrupted channel output signal. Adaptive filters are designed and implemented to minimize the error at the receiver side, thus making data to be of error free. The results are investigated to validate the operational parameters such as Mean Square Error (MSE), computational complexity, correlation coefficient and convergence rate of the proposed method and their comparative performances over other equalization methods. Simulation results indicated that, the proposed adaptive linear equalization method has good extraction performance than other nonlinear and blind equalization methods.