基于确定性测量矩阵的心电信号压缩采样算法研究

摘要

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.%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。