Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs

Compressed Sensing (CS) has recently emerged as an effective way to simultaneously acquire, compress and possibly encrypt incoming signals in low-resource sensing devices. We here show that CS can be suitably exploited to add disturbance rejection properties, similar to those which are classically obtained by means of suitably designed and deployed signal conditioning stages. This may render such additional stages unnecessary and therefore substantial decrease both system complexity and energy requirements. An example dealing with electrocardiographic signals is developed in which the classical base-line and power-line disturbances are almost entirely rejected with no need of ad-hoc filters.