A novel algorithm combining SVD and a neuro-fuzzy inference system can effectively extract foetal ECG from maternal abdominal signals and remove noise.
May aid non-invasive fetal ECG monitoring; leaves open prospective clinical validation before practice change.
Extraction of foetal ECG that is embedded in the maternal ECG is a challenging problem. This paper presents a combined system to extract foetal ECG from maternal abdominal ECG. The system uses a combination of singular value decomposition (SVD) and a neuro-fuzzy inference system. The SVD is used to construct two reference signals, while the fuzzy system is used as an adaptive canceller. The algorithm is applied on synthetic as well as real data and the results are presented. In addition, the paper presents an example of using the same system as a noise removal tool.
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Al‐Zaben et al. (2005) studied this question.
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