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An ECG compression technique for telecardiology application

机译:心电图应用心电图压缩技术

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An offline ECG compression technique, based on encoding of successive sample differences is proposed. The encoded elements are generated through four stages, viz., down sampling of raw samples, normalization of successive sample differences; data grouping; magnitude and sign encoding; and finally zero element compression. Initially, the compression algorithm is validated with short duration raw ECG samples from PTB database under Physionet. MATLAB simulation results using ptb-db data with 8-bit quantization results a compression ratio (CR) of 9.02 and percentage root mean square difference (PRD) of 2.51. With mit-db these figures are 4.68 and 0.739 respectively. The algorithm is presently being implemented in a wireless telecardiology system using a standalone embedded system.
机译:提出了一种基于连续样本差异编码的离线心电图压缩技术。编码元素是通过四个阶段生成的,即原始样本的向下采样,连续样本差异的归一化;数据分组;幅度和符号编码;最后是零元素压缩。最初,使用Physionet下PTB数据库中的短期ECG原始样本对压缩算法进行了验证。使用带有8位量化的ptb-db数据的MATLAB仿真结果得出的压缩比(CR)为9.02,百分比均方根差(PRD)为2.51。使用mit-db时,这些数字分别为4.68和0.739。该算法当前在使用独立嵌入式系统的无线心电系统中实现。

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