Key result
A lossless ECG compression method using adaptive linear prediction achieved average compression ratios of 3.16, 3.75, and 3.52 across three standard ECG databases.
A novel adaptive linear prediction technique provides effective lossless ECG compression independent of signal acquisition setup, confirming that second-order linear prediction is optimal for this application.
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Proposed adaptive ECG compression may aid efficient storage and transmission; leaves open clinical validation before practice adoption.
Bannajak et al. (2023) studied Electrocardiogram (ECG) signals. Lossless ECG compression method using prediction error-based adaptive linear prediction was evaluated on Average compression ratio. A lossless ECG compression method using adaptive linear prediction achieved average compression ratios of 3.16, 3.75, and 3.52 across three standard ECG databases.
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