A quality-on-demand algorithm for wavelet-based compression of electrocardiogram signals

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Population

ECG signals taken from the MIT/BIH database

Design

Other

Authors

Discussion

May aid ECG data efficiency in monitoring systems; leaves open prospective clinical validation before adoption.

Population

ECG signals taken from the MIT/BIH database

Intervention

A quality-on-demand algorithm for wavelet-based compression using a root-finding method incorporated in set partitioning in hierarchical trees

Outcome

Convergence speed, quality variation, and coding performance to meet a user-specified percent of root-mean-square difference (PRD)surrogate

The proposed algorithm allows for automatic, smooth, and fast wavelet-based compression of ECG signals to meet a user-specified quality criterion.

Miaou et al. (2002) studied this question.

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