文件名称:Blind-Signal-Separation
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This paper presents a new algorithm to extract
the fetal ECG from an ECG recorded on the
mother’s abdomen. The algorithm consists of
two steps: first, ECG of fetus is extracted from
the original signal using a two-level wavelet
transform. We use Daubechie wavelet transform,
which is similar in shape to heart beat wave. The
resulted signal is then low-pass filtered using the
Savitzky-Golay smoothing filter to attenuate the
effect of noise. The filtered signal is considered
as the fetal ECG. The algorithm was applied on
both synthetic and real ECG signals. The results
in this paper show that the proposed algorithm
has promising performance.
the fetal ECG from an ECG recorded on the
mother’s abdomen. The algorithm consists of
two steps: first, ECG of fetus is extracted from
the original signal using a two-level wavelet
transform. We use Daubechie wavelet transform,
which is similar in shape to heart beat wave. The
resulted signal is then low-pass filtered using the
Savitzky-Golay smoothing filter to attenuate the
effect of noise. The filtered signal is considered
as the fetal ECG. The algorithm was applied on
both synthetic and real ECG signals. The results
in this paper show that the proposed algorithm
has promising performance.
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Blind Signal Separation.pdf