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Chinese Academy of Sciences Institutional Repositories Grid
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Technological innovation of semi-airborne electromagnetic detection method 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 卷号: 64, 期号: 9, 页码: 2995-3004
作者:  
Lin Jun;  Xue GuoQiang;  Li Xiu
  |  收藏  |  浏览/下载:24/0  |  提交时间:2021/11/01
The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE) 会议论文  OAI收割
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.
收藏  |  浏览/下载:25/0  |  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