Key result
The proposed lossless ECG compression system achieved a compression ratio from 2.975 to 3.040 with low memory requirements, making it highly applicable to low-power ECG monitors and the cloud.
Why the study?
Long-term ECG monitoring requires high-ratio lossless compression techniques to reduce data transmission energy and data storage capacity.
The proposed dual-mode prediction and error modeling algorithm provides high-ratio lossless ECG compression with low computational complexity, making it suitable for low-power wearable devices and cloud storage.
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May support efficient ECG data handling in wearables; leaves open prospective clinical validation before adoption.
Jia et al. (2020) studied Arrhythmia (ECG monitoring) (n=47). Lossless ECG compression system based on dual-mode prediction and error modeling vs. Other existing compression methods was evaluated on Compression ratio (CR). The proposed lossless ECG compression system achieved a compression ratio from 2.975 to 3.040 with low memory requirements, making it highly applicable to low-power ECG monitors and the cloud.
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