一种高效的PPG压缩感知重构算法OA北大核心CSCDCSTPCD
Higher efficient compressed sensing reconstruction algorithm of PPG signal
首先阐述了压缩感知（CS）的理论框架，然后分析了光电容积脉搏波（PPG）信号的稀疏性，最后提出了基于CS理论PPG信号的压缩重构框架。基于此框架采用正交匹配追踪算法和改进的正交匹配追踪算法对已压缩的信号进行重构，实验结果表明，PPG信号长度的选取、压缩比的大小以及观测个数的多少都对重构性能有重要影响。
In this paper, the Compressed Sensing(CS)framework is introduced firstly, and then sparsity of the Photo-Plethysmography(PPG)signal is analyzed. Finally, the PPG signal compression and reconstruction framework based on CS theory is proposed. Via Orthogonal Matching Pursuit(OMP)and Enhanced Orthogonal Matching Pursuit(E-OMP), it is demonstrated that the performance of reconstruction is correlated with the length of the signal, the compression ratio and the nu…查看全部>>
康如婷;赵曙光;刘浩
东华大学 信息科学与技术学院，上海 201620东华大学 信息科学与技术学院，上海 201620东华大学 信息科学与技术学院，上海 201620
信息技术与安全科学
压缩感知稀疏性正交匹配追踪光电容积脉搏波(PPG)信号
compressed sensingsparsityorthogonal matching pursuitPhoto-Plethysmography(PPG)signal
《计算机工程与应用》 2014 (14)
131-134,4
中央高校基本科研业务费专项（No.12D10406）。
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