Efficient sequential compression of multi-channel biomedical signals

摘要

This work proposes lossless and near-lossless compression algorithms formulti-channel biomedical signals. The algorithms are sequential and efficient,which makes them suitable for low-latency and low-power signal transmissionapplications. We make use of information theory and signal processing tools(such as universal coding, universal prediction, and fast onlineimplementations of multivariate recursive least squares), combined with simplemethods to exploit spatial as well as temporal redundancies typically presentin biomedical signals. The algorithms are tested with publicly availableelectroencephalogram and electrocardiogram databases, surpassing in all casesthe current state of the art in near-lossless and lossless compression ratios.