Joint analog-to-information conversion of heterogeneous biosignals

In this work, we propose an analog-to-information conversion based sensing protocol for the joint acquisition of signals in a typical body sensor network composed of different kinds of sensing devices. The proposed system is based on the compressive sensing paradigm, and jointly encodes sparse and non-sparse signals with an advantage in terms of required transmission bits and achieved signal-to-noise ratio with respect to the standard case of disjoint signal acquisition. A theoretical analysis is supported by some practical examples which show how the proposed system is able to outperform traditional approaches.