A New Method of Noise Removal for Body Vibration Signals in Wireless Sensor Networks

In this paper we present a novel model of noise removal for the human body vibration signals in wireless sensor networks. This model assumes that the noise is not a continuous or periodic signal, but a transient signal. It distributes sparsely in time domain with larger energy than human body vibration signals. Furthermore, on the base of the model a new algorithm is developed which takes advantage of wavelet transforms to remove the noise by the method of processing wavelet transformation coefficients at each level. The results of the experiments indicate that the new algorithm has removed the noise of the signals successfully in the case of both human’s one discrete action and continuous activities. Finally, the system is built to implement the performance using our proposed method, which is verified to be feasible and promising in practice.