Review of Motion Artifacts Removing Techniques for Wireless Electrocardiograms

A certain class of wireless devices such as electrocardiogram (ECG), electromyogram (EMG) and electroencephalogram (EEG), are very useful for telemedicine because they enable the free movement of patients while vital biophysical measurements are taken from them. However, these devices are very sensitive to motion artifacts - electric potentials generated due to the undesirable movement of electrodes on the surface of the skin or the change in the skin impedance. In this paper we examine the scope and usefulness of different types of model-based signal processing and dimensionality reduction techniques to model and reason about motion artifacts. While the techniques we review are applicable for a wide range of signals, we limit our analysis, nevertheless, to wireless electrocardiograms, so that we can base our investigation on experimental data.