The proposed lossless encoding algorithm offers a simple, memory-efficient method for real-time ECG signal compression, despite a slightly lower compression ratio compared to more complex methods.
May enable efficient real-time ECG compression on edge devices; leaves open validation in clinical datasets.
This paper introduces a new encoding algorithm for the lossless, fast, and memory-efficient compression of two-channel signals.The proposed algorithm was evaluated using Electrocardiogram (ECG) signals.The results indicate that it can effectively compress ECG signals with a favorable compression ratio (CR), without relying on complex predictors, dictionaries, detectors, or additional encoding methods.By employing this method, an average CR of 1.98 was achieved, with a minimum CR of 1.54 and a maximum CR of 2.36.Moreover, it is assumed that the algorithm has the potential to enhance the achieved compression in Compressed Sensing (CS) systems.
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Kromka et al. (2023) studied this question.
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