This work examines compression algorithms to create a sparse representation of a continuous long-term electrocardiography (ECG) recording while preserving its diagnostic information.
This will enable storing and transmitting continuous long-term ECG recordings, which is crucial for a portable collection system that will store mobile ECG data recorded continuously for hours to days long.