一种融合KPCA、FastICA及SVD的腹壁源胎儿心电信号提取算法研究OACSTPCD
Algorithm for extracting fetal electrocardiogram signals from abdominal wall sources by integrating kernel principal component analysis,fast independent component analysis and singular value decomposition
目的:为实现从母体腹壁混合信号中提取高信噪比和波形清晰的胎儿心电信号,提出一种融合核主成分分析(kernel principal component analysis,KPCA)、快速独立成分分析(fast independent component analysis,FastICA)及奇异值分解(singular value decomposition,SVD)的胎儿心电信号提取算法.方法:首先,采用KPCA对母体心电信号进行降维,再利用改进的…查看全部>>
Objective To propose an algorithm to extract fetal ECG signals from mixed signals of maternal abdominal wall with high signal-to-noise ratio and clear waveforms by combining kernel principal component analysis(KPCA),fast independent component analysis(FastICA)and singular value decomposition(SVD).Methods Firstly,KPCA was used to downscale the maternal ECG signals,and then the improved negative entropy-based FastICA was applied to processing the downscaled da…查看全部>>
陈琳;杨玉瑶;吴水才
北京工业大学化学与生命科学学院,北京 100124北京工业大学化学与生命科学学院,北京 100124北京工业大学化学与生命科学学院,北京 100124
基础医学
胎儿心电信号核主成分分析快速独立成分分析奇异值分解腹壁混合信号
fetal electrocardiogram signalkernel principal component analysisfast independent component analysissingular value decompositionmixed signal of abdominal wall
《医疗卫生装备》 2024 (7)
1-7,7
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