Single channel abdominal recording fetal electrocardiogram extraction method

Abstract

The invention discloses a single channel abdominal recording fetal electrocardiogram extraction method. The single channel abdominal recording fetal electrocardiogram extraction method includes the following steps that (1) a signal is collected in an abdomen of a mother body, the signal is preprocessed to remove baseline drift, and the denoised signal is taken as a network target signal; (2) an electrocardiogram component of the mother body is estimated through singular value decomposition (SVD) and a smooth window (SW), and the estimated electrocardiogram component of a chest of the mother body is taken as a network input signal; (3) then a back propagation (BP) neural network is constructed, a hidden layer is arranged as 15 neurons, the number of iterations is 500, the learning rate is arranged as 0.1, and the target error is 0.000001; and (4) the BP neural network method is used for training a network, a network template is obtained, and then a fetal electrocardiogram signal is extracted. According to the single channel abdominal recording fetal electrocardiogram extraction method, the clear fetal electrocardiogram signal can be obtained by collecting an abdomen leading mixed signal, the inconvenience of chest electrocardiogram collection to pregnant women is avoided, and certain value in practical application is achieved.

Description

technical field [0001] The invention belongs to the technical field of fetal electrocardiogram signal detection, in particular to a method for extracting fetal electrocardiogram recorded in a single-channel abdomen, which is a modified technique for extracting fetal electrocardiogram signals by a traditional neural network. Background technique [0002] Fetal monitoring is currently an important means to ensure the safety of perinatal pregnant women and fetuses and to achieve eugenics. During the perinatal period, the fetus is temporarily hypoxic due to umbilical cord compression or other reasons, which can cause asphyxia, mental retardation, dementia and even death. According to statistics, a large part of mentally handicapped children in our country is caused by dysplasia or premature birth due to hypoxic distress during fetal growth, and 25% of fetal deaths can also be avoided. As the society attaches great importance to the health of mothers and babies, the monitoring o...

AI Technical Summary

Problems solved by technology

In the application of fetal ECG signal extraction, the BP neural network can extract clear fetal ECG signals, but the network not only needs to collect maternal abdominal ECG, but also needs to collect maternal chest ECG. Discomfort and reduced mobility

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