Scalable ECG transmission to improve the diagnosability of remote patient

We present an adaptive framework for layered representation and transmission of electrocardiogram (ECG) data that can accommodate a time-varying wireless channel. The representation, combined with the layer-based earliest deadline first (LB-EDF) scheduler, ensures that the perceptual quality of the reconstructed ECG signal does not degrade abruptly under severe channel conditions and that the available bandwidth is utilized efficiently. Simulation shows that the proposed approach significantly improves the perceptual quality of the ECG signal reconstructed at the remote monitoring station.