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Wavelet-Based Quality-Constrained ECG Data Compression System Without Decoding Process
IEEE Multimedia ( IF 3.2 ) Pub Date : 2020-04-01 , DOI: 10.1109/mmul.2020.2983690 Jui-Hung Hsieh, King-Chu Hung, Je-Hung Liu, Tsung-Ching Wu
IEEE Multimedia ( IF 3.2 ) Pub Date : 2020-04-01 , DOI: 10.1109/mmul.2020.2983690 Jui-Hung Hsieh, King-Chu Hung, Je-Hung Liu, Tsung-Ching Wu
Retaining the reconstruction quality of electrocardiogram (ECG) data compression is crucial for diagnosis demands. However, traditional wavelet-based approaches suffer from complicated distortion control. The most fundamental way to overcome this difficulty is to avoid the use of the time-domain distortion measure that requires the complete decoding process. In this article, based on the reversible roundoff nonrecursive discrete periodized wavelet transform reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT), a new transform-domain index is presented. This index accumulates the roundoff error of the RRO-NRDPWT and the quantization error as the distortion measure. The index referred to as the simplified percentage root-mean-square difference (SPRD) can completely replace the PRD for the case of ${\mathbf{PRD}} \geq 2{\mathrm{\% }}$PRD≥2%, where $\boldsymbol{SPRD}/\boldsymbol{PRD} \approx 1$SPRD/PRD≈1. By using the ECG signals in the MIT-BIH arrhythmia database, the simulation results show that for target PRD (${\mathbf{PR}}{{\mathbf{D}}_{\mathbf T}}$PRDT) equals to $3{\mathrm{\% }} \pm 0.05$3%±0.05, the SPRD can save 99.34% quantization process time compared with the traditional quality control scheme.
中文翻译:
基于小波的无编码心电图数据压缩系统,无需解码
保持心电图(ECG)数据压缩的重建质量对于诊断需求至关重要。但是,传统的基于小波的方法具有复杂的失真控制。克服此困难的最基本方法是避免使用需要完整解码过程的时域失真测量。本文基于可逆舍入非递归离散周期小波变换可逆舍入非递归离散周期小波变换(RRO-NRDPWT),提出了一种新的变换域索引。该指标累积RRO-NRDPWT的舍入误差和量化误差作为失真量度。对于$ {\ mathbf {PRD}} \ geq 2 {\ mathrm {\%}} $ PRD≥2%的情况,称为简化百分比均方根差(SPRD)的索引可以完全替代PRD。 ,其中$ \ boldsymbol {SPRD} / \ boldsymbol {PRD} \约1 $ SPRD /PRD≈1。通过使用MIT-BIH心律失常数据库中的ECG信号,仿真结果表明,对于目标PRD($ {\ mathbf {PR}} {{\ mathbf {D}} _ {\ mathbf T}} $ PRDT等于$ 3 {\ mathrm {\%}} \ pm 0.05 $ 3%±0.05,与传统的质量控制方案相比,SPRD可以节省99.34%的量化过程时间。
更新日期:2020-04-01
中文翻译:
基于小波的无编码心电图数据压缩系统,无需解码
保持心电图(ECG)数据压缩的重建质量对于诊断需求至关重要。但是,传统的基于小波的方法具有复杂的失真控制。克服此困难的最基本方法是避免使用需要完整解码过程的时域失真测量。本文基于可逆舍入非递归离散周期小波变换可逆舍入非递归离散周期小波变换(RRO-NRDPWT),提出了一种新的变换域索引。该指标累积RRO-NRDPWT的舍入误差和量化误差作为失真量度。对于$ {\ mathbf {PRD}} \ geq 2 {\ mathrm {\%}} $ PRD≥2%的情况,称为简化百分比均方根差(SPRD)的索引可以完全替代PRD。 ,其中$ \ boldsymbol {SPRD} / \ boldsymbol {PRD} \约1 $ SPRD /PRD≈1。通过使用MIT-BIH心律失常数据库中的ECG信号,仿真结果表明,对于目标PRD($ {\ mathbf {PR}} {{\ mathbf {D}} _ {\ mathbf T}} $ PRDT等于$ 3 {\ mathrm {\%}} \ pm 0.05 $ 3%±0.05,与传统的质量控制方案相比,SPRD可以节省99.34%的量化过程时间。