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提出了一种ECG信号压缩编码方案.该方案根据ECG信号类周期性的结构特征分割出信号周期,对一个周期进行提升小波变换,对生成的提升小波系数进行带截止区的均匀量化,再把量化系数分解成重要位置流、符号流、最高位位置流以及剩余比特流,然后对前3种数据流分别建立多周期相关的概率统计模型,进而实现自适应算术编码.实验数据结果表明:本方案在保证ECG信号压缩编码高效性的同时,比较好地实现了压缩编码的实时性.
A ECG signal compression coding scheme is proposed in this paper.It divides the signal period according to the periodic structural features of the ECG signal and performs lifting wavelet transform on one period and performs uniform quantization with cutoff area on the generated lifting wavelet coefficients. The quantized coefficient is decomposed into the important position stream, the symbol stream, the highest bit position stream and the remaining bit stream, and then the multi-cycle related probabilistic statistical models are respectively established for the first three data streams and the adaptive arithmetic coding is achieved. The experimental data show that: Program to ensure the efficiency of ECG signal compression coding at the same time, better achieve the real-time compression coding.