Abstract
Intelligence technology is applied commonly in FHR detection. But duo to the interference, noise and the fetus position, the increase and decrease phenomena of FHR occur in the clinic. In this paper, a fetal heart rate (FHR) detection classifier is presented to solve the abnormal appearance. Firstly the abnormal appearance of FHR is described. Secondly a FHR fuzzy classifier is developed. The classifier is based on a fuzzy algorithm which includes the fuzzifer, defuzzifer, and interface engine and the rule base. Finally the result is shown. The test system which was based on the DSP obtains higher detection effect, and is a robust system than ever.
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