基于确定性测量矩阵的心电信号压缩采样算法研究  

Research of Compressed Sampling of Electrocardiogram Based on Deterministic Matrix

作　　者：王婧[1,2] 赵治栋[1,2] 张晓红[1,2] 杜加友 郑民[1,2] 

机构地区：[1]杭州电子科技大学,浙江杭州310008 [2]义乌工商职业技术学院,浙江义乌322000

出　　处：《测试技术学报》2015年第1期58-62,共5页Journal of Test and Measurement Technology

基　　金：浙江省公益性技术应用研究计划资助项目(2013C31074;2013C31128);浙江省自然科学基金资助项目(LY14F010021)

摘　　要：远程心电监测治疗中心电压缩技术至关重要.论文介绍了压缩采样理论的原理,根据确定性矩阵在压缩采样理论硬件实现上的优势,构造了一种多项式确定性矩阵,与块稀疏贝叶斯框架算法相结合,并在此基础上,对多项式确定性矩阵QR分解进行优化,实验表明:该矩阵可以满足实时高精度重建信号的要求,优化后的矩阵更进一步提高了算法性能.ECG compression technique is one of the key techniques in ECG data store and transfer.The principle of the CS is introduced firstly.Focusing on the advantage of the deterministic measurement,the polynomial matrix combined with the block sparse Bayesian learning is proposed and the matrix based on the QR decomposition is optimized.The result shows that the matrix can meet the requirements of high-precision real-time reconstruction of the signal.The optimized matrix can improve the performance of the algorithm further.

关 键 词：压缩采样 心电信号 确定性 测量矩阵 

分 类 号：TJ810.6[兵器科学与技术—武器系统与运用工程]