文件名称:fecg-paper
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The study presents a method to separate the fetal electrocardiograph(FECG) from
concomitant maternal electrocardiograph (MECG) by using Fast Independent component
analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting fetal ECG have
defects and drawbacks. Traditional ICA method has a persistent problem that the signal of FECG
extracted MECG was always mixed with the signal of MECG in diverse levels, and the order
of MECG and FECG-The study presents a method to separate the fetal electrocardiograph(FECG) from
concomitant maternal electrocardiograph (MECG) by using Fast Independent component
analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting fetal ECG have
defects and drawbacks. Traditional ICA method has a persistent problem that the signal of FECG
extracted MECG was always mixed with the signal of MECG in diverse levels, and the order
of MECG and FECG
concomitant maternal electrocardiograph (MECG) by using Fast Independent component
analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting fetal ECG have
defects and drawbacks. Traditional ICA method has a persistent problem that the signal of FECG
extracted MECG was always mixed with the signal of MECG in diverse levels, and the order
of MECG and FECG-The study presents a method to separate the fetal electrocardiograph(FECG) from
concomitant maternal electrocardiograph (MECG) by using Fast Independent component
analysis(ICA) algorithm of Blind Signal Separation. Current methods of extracting fetal ECG have
defects and drawbacks. Traditional ICA method has a persistent problem that the signal of FECG
extracted MECG was always mixed with the signal of MECG in diverse levels, and the order
of MECG and FECG
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fecg paper\viability tool thesis.pdf
fecg paper