摘要
提出一种重复编码的心电数据压缩方法 ,该算法首先根据 ECG数据的变化特征 ,提取每一路 ECG信号的心搏模板 ,从而把信号分成三个部分 :心搏模板、残余误差和位置参数 .在保证信号低失真的条件下 ,先对残余误差进行L ADT编码 ;然后进一步引入无损的熵编码对 L ADT编码后的数据进行二次编码 .与其它压缩方法相比 ,在相同的信息损失下 ,该算法可获得更高的数据压缩比 .所提出的方法 。
A new electrocardiogram(ECG) data compression method is presented.It employs a repeated coding.In this method beat templates are extracted from original signals according to the features of ECG.The data are divided into three parts:beat template,residual and position parameter.The three separate parts are first encoded with LADT,and then use the lossless entropy encoding to maintain a low level of reconstructed waveform distortion.The entropy encoding based on Huffman encoding is employed here as an example.Selections from the MIT BIH arrhythmia database,show that there is substantial improvement in compression ratio (CR) over other single and simple compression methods for comparable percent root mean square difference(PRD).
