| ABSTRACT: | THE RESEARCH ON ADAPTIVE NOISE CANCELLATION OF FETAL HEART RATE
T. Baofeng, Tian Baofeng, Zhao Jinyin, Liu Yu, Yan Weihe
Fetal Heart Rate (FHR) signal reflects an objective index on fatal heart physiological activity. The extraction
and processing to FHR is a key technology to monitor the fetal heart rate in the clinical management of
pregnancies antenna-tally. Aimed to the problem of the determination of FHR, we proposed a method for
adaptive noise cancellation, through adjusting weight to make mean square error minimum, using a LMS
algorithms of variable weight length and variable step-size together. It implements adaptive noise
cancellation system of FHR extraction, and overcomes match filter complication , it needs to establish
template. Through computer simulation analysis, it improves SNR and convergence rate, and resolves
effectively the problem of FHR real-time extraction.
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