An interference cancellation algorithm for non-invasive extraction of TaFEEG

Fetal electroencephalogram (FEEG) contains important information regarding the status of a fetus. To monitor FEEG signals non-invasively, transabdominal recordings of FEEG (TaFEEG) can be obtained. However, due to the poor Signal to Noise Ratio (SNR), extraction of FEEG from transabdominal recording...

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Bibliographic Details
Main Authors: Shao, M., Barner, K.E., Goodman, M.H.
Format: Conference Proceeding
Language:English
Subjects:
Abdomen
Brain modeling
Data mining
Electrocardiography
Filters
Interference cancellation
Medical simulation
Monitoring
Partitioning algorithms
Signal to noise ratio
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Description
Summary:Fetal electroencephalogram (FEEG) contains important information regarding the status of a fetus. To monitor FEEG signals non-invasively, transabdominal recordings of FEEG (TaFEEG) can be obtained. However, due to the poor Signal to Noise Ratio (SNR), extraction of FEEG from transabdominal recordings is very difficult. Here, a multi-step interference cancellation algorithm is developed to remove the major sources of interference in transabdominal recordings. The algorithm is applied to simulated data and true transabdominal recordings. The result shows that the developed method is able to extract the clinically important FEEG signal from transabdominal recordings.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2000.901522