CAJ | 학술논문

针对心电信号的识别这一生物医电信号处理的难题，提出了一种新的算法，将稀疏成分分析和小波包变换两种方法相结合，去除了心电噪声，得到了清晰的心电信号。仿真结果与传统的快速独立成分分析（FastICA ）算法相比较，本算法具有更高的分离精度。
침대심전신호적식별저일생물의전신호처리적난제，제출료일충신적산법，장희소성분분석화소파포변환량충방법상결합，거제료심전조성，득도료청석적심전신호。방진결과여전통적쾌속독립성분분석（FastICA ）산법상비교，본산법구유경고적분리정도。
Blind source separation (BSS ) has applications in the fields of data compression , feature recognition ,speech ,audio ,and biosignal processing .Identification of ECG signal is one of the challenges in biosignal processing .The new algorithm eliminates the noise in ECG signa by combining SCA with wavalet packet transformation and gets pure ECG .Experimental results show that the new algorithm has higher similarity coefficient and separation precision .