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Proceedings Paper

The signal extraction of fetal heart rate based on wavelet transform and BP neural network
Author(s): Xiao Hong Yang; Bang-Cheng Zhang; Hu Dai Fu
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Paper Abstract

This paper briefly introduces the collection and recognition of bio-medical signals, designs the method to collect FM signals. A detailed discussion on the system hardware, structure and functions is also given. Under LabWindows/CVI,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; the other threading is analyzing data. Using the method, 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; 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.

Paper Details

Date Published: 12 April 2005
PDF: 7 pages
Proc. SPIE 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, (12 April 2005); doi: 10.1117/12.621935
Show Author Affiliations
Xiao Hong Yang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Aviation Univ. of Air Force (China)
Bang-Cheng Zhang, Changchun Univ. of Technology (China)
Hu Dai Fu, Changchun Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5852:
Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics
Chenggen Quan; Fook Siong Chau; Anand Asundi; Brian Stephen Wong; Chwee Teck Lim, Editor(s)

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