2017
A knowledge-driven framework for ECG representation and interpretation for wearable applications
ICASSP 2017accepted
The increasing use of wearable technology creates the need for reliable signal representations with low storage and transmission cost, as well as interpretable models that can be used to translate signals into meaningful constructs. We propose a knowledge-driven sparse representation of the electroc…