ECG signal compression based on MSPIHT algorithm
Zhelong Wang, Ying Chen · 2008
A new electrocardiogram (ECG) signal compression algorithm named modified set partitioning in hierarchical trees (MSPIHT), which is based on the SPIHT algorithm, has been proposed in this paper. Several measures have been taken to improve the SPIHT algorithm and these measures includes that the lifting wavelet transform is adopted, the extended zerotree structure is redefined, and the threshold optimization. Simulation experiments by using the MSPIHT algorithm and several other compression algorithms have been conducted to verify the validity of the MSPIHT algorithm and test its performance. The experimental results show that the proposed MSPIHT algorithm is valid and can achieve the better compression performance than other compression algorithms based on the wavelet transform.