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IEEE Trans Biomed Eng · Jul 2000
Comparative StudyWavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm.
- Z Lu, D Y Kim, and W A Pearlman.
- Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA.
- IEEE Trans Biomed Eng. 2000 Jul 1; 47 (7): 849-56.
AbstractA wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed in this paper. The SPIHT algorithm [1] has achieved notable success in still image coding. We modified the algorithm for the one-dimensional case and applied it to compression of ECG data. Experiments on selected records from the MIT-BIH arrhythmia database revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. The coder also attains exact bit rate control and generates a bit stream progressive in quality or rate.
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