CAJ | 학술논문

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。
수선천술료압축감지（CS）적이론광가，연후분석료광전용적맥박파（PPG）신호적희소성，최후제출료기우CS이론PPG신호적압축중구광가。기우차광가채용정교필배추종산법화개진적정교필배추종산법대이압축적신호진행중구，실험결과표명，PPG신호장도적선취、압축비적대소이급관측개수적다소도대중구성능유중요영향。
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 number of measurements.