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长春光学精密机械与物... [1]
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会议论文 [1]
发表日期
2005 [1]
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专题:长春光学精密机械与物理研究所
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The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE)
会议论文
Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, November 29, 2004 - December 1, 2004, Singapore, Singapore
Hong Y. X.
;
Cheng Z. B.
;
Dai F. H.
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提交时间:2013/03/25
This paper briefly introduces the collection and recognition of bio-medical signals
the other threading is analyzing data. Using the method
designs the method to collect FM signals. A detailed discussion on the system hardware
it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network
structure and functions is also given. Under LabWindows/CVI
Finally the results of collecting signals and BP networks are discussed.8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure.
the hardware and the driver do compatible
the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively
expedites program reflect speed
improves the program to perform efficiency. One threading is collecting data
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