Research on algorithm of independent component analysis with two channel electrocardiograms / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 1223-1226, 2011.
Article
in Zh
| WPRIM
| ID: wpr-274922
Responsible library:
WPRO
ABSTRACT
According to the independent component analysis (ICA) theory, in order to seperate the fetal electrocardiograms (FECG) from the observed data, we must use the larger number of observed signals than that of independent components. This requires that the number of the sentors on the electrocardiograph must be larger than a particular value, which is in practice hard to be satisfied. So we proposed another algorithm using fewer channels of abdominal electrocardiograms, which combines ICA and adaptive noise cancellation to extract the FECG from two leads of abdominal electrocardiograms. The experiment results showed that we could obtain clear FECG by the method we proposed.
Full text:
1
Index:
WPRIM
Main subject:
Physiology
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Principal Component Analysis
/
Electrocardiography
/
Fetal Heart
/
Methods
Type of study:
Prognostic_studies
Limits:
Female
/
Humans
/
Pregnancy
Language:
Zh
Journal:
Journal of Biomedical Engineering
Year:
2011
Type:
Article