A Novel Lossless ECG Compression Algorithm for Active Implants.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)
Abstract
A low complexity lossless ECG compression algorithm for active implants is proposed in this paper. The algorithm is based on adaptive length encoding by combining linear prediction with delta encoding. The algorithm is tested on forty-eight segments of 30-min ECG signals obtained from MIT-BIH Arrhythmia Database. The results show that with the data segment length of 33 and the predictor order of 2, the average compression rate of the algorithm reaches 2.43 and there is no difference between the reconstructed signal and the original one. It implies that it can realize the lossless compression with a high compression ratio. Meanwhile, the low complexity makes this novel algorithm suitable for ECG monitoring applications of active implants.
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Key words
ECG compression,signal processing,linear prediction,styling,compression ratio
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