The signal extraction of fetal heart rate based on wavelet transform and BP neural network

2005 ◽  
Author(s):  
Xiao Hong Yang ◽  
Bang-Cheng Zhang ◽  
Hu Dai Fu
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Wavelet Transform ◽  
Bp Neural Network ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Signal Extraction

scholarly journals Neural Network Analysis and Evaluation of the Fetal Heart Rate

Algorithms ◽  
2009 ◽  
Vol 2 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Yasuaki Noguchi ◽  
Fujihiko Matsumoto ◽  
Kazuo Maeda ◽  
Takashi Nagasawa
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Network Analysis ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Neural Network Analysis ◽  
Analysis And Evaluation

Time-frequency analysis of fetal heartbeat fluctuation using wavelet transform

1998 ◽  
Vol 275 (6) ◽  
pp. H1993-H1999 ◽  
Author(s):  
Yoshitaka Kimura ◽  
Kunihiro Okamura ◽  
Takanori Watanabe ◽  
Nobuo Yaegashi ◽  
Shigeki Uehara ◽  
...  
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Wavelet Transform ◽  
Gamma Distribution ◽  
Frequency Analysis ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Rate Fluctuation

We examined whether the nonlinear control mechanism of the fetal autonomic nervous system would change in various fetal states. Eight thousand or more fetal heartbeats were detected from normal, hypoxemic, and acidemic fetuses. Fetal heart Doppler-signal intervals were determined in a high-precision autocorrelation method, and a time series of fetal heart rate fluctuation was obtained. The distribution of the amplitude of temporal fluctuation in the low-frequency component of fetal heart rate frequency was studied using a method of time-frequency analysis called wavelet transform. Spline 4 was used as the mother wavelet function. A gamma distribution was observed from 17 wk of gestation onward. The value of the parameter ν of this gamma distribution was ∼1.6 and remained constant regardless of the gestational age or the time of day. The value of ν decreased significantly to 0.77 when the fetus developed acidemia and was 1.51 in hypoxemia and 1.54 in a normal condition. This study elucidates a nonlinear structure of the time series of heart rate fluctuation of the gamma distribution in the human fetus. This technique may provide a new quantitative index of fetal monitoring to diagnose fetal acidemia.

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