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Volume 8, Issue 4
A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status

Zhaoxia Chen, Yaosheng Lu, Duoying Zhang, Xiaodong Li & Renhuan Yang

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 761-770.

Published online: 2015-08

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  • Abstract
Against the problems of existing uterine contraction identification algorithms, mainly in the inapplicability to real-time identification of the characteristic points of uterine contraction wave, a novel method based on a series of criteria for real-time analysis is proposed in this paper. After confirming the beginning, end and peak of the analyzed segment, a series of criterion are used to identify the status of current uterine contraction point. Meanwhile, the status of current uterine contraction point is corrected by a buffer mechanism to ensure accuracy. The experiments show that the conformity between the realtime analysis results and two experts' analysis results are high, and the kappa coefficients are as high as 0.874 and 0.872. Moreover, the time required for the analysis of a uterine contraction point is only 0:00320:0002 (mean ± SD) seconds, which is far less than the acquisition and output time of a uterine contraction point by pressure probe. Therefore, the proposed method can meet the requirements of real-time analysis in both accuracy and efficiency.
  • Keywords

Uterine Contraction Status Real-time Analysis Characteristic Point

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COPYRIGHT: © Global Science Press

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@Article{JFBI-8-761, author = {}, title = {A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {4}, pages = {761--770}, abstract = {Against the problems of existing uterine contraction identification algorithms, mainly in the inapplicability to real-time identification of the characteristic points of uterine contraction wave, a novel method based on a series of criteria for real-time analysis is proposed in this paper. After confirming the beginning, end and peak of the analyzed segment, a series of criterion are used to identify the status of current uterine contraction point. Meanwhile, the status of current uterine contraction point is corrected by a buffer mechanism to ensure accuracy. The experiments show that the conformity between the realtime analysis results and two experts' analysis results are high, and the kappa coefficients are as high as 0.874 and 0.872. Moreover, the time required for the analysis of a uterine contraction point is only 0:00320:0002 (mean ± SD) seconds, which is far less than the acquisition and output time of a uterine contraction point by pressure probe. Therefore, the proposed method can meet the requirements of real-time analysis in both accuracy and efficiency.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00176}, url = {http://global-sci.org/intro/article_detail/jfbi/4758.html} }
TY - JOUR T1 - A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 761 EP - 770 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00176 UR - https://global-sci.org/intro/article_detail/jfbi/4758.html KW - Uterine Contraction Status KW - Real-time Analysis KW - Characteristic Point AB - Against the problems of existing uterine contraction identification algorithms, mainly in the inapplicability to real-time identification of the characteristic points of uterine contraction wave, a novel method based on a series of criteria for real-time analysis is proposed in this paper. After confirming the beginning, end and peak of the analyzed segment, a series of criterion are used to identify the status of current uterine contraction point. Meanwhile, the status of current uterine contraction point is corrected by a buffer mechanism to ensure accuracy. The experiments show that the conformity between the realtime analysis results and two experts' analysis results are high, and the kappa coefficients are as high as 0.874 and 0.872. Moreover, the time required for the analysis of a uterine contraction point is only 0:00320:0002 (mean ± SD) seconds, which is far less than the acquisition and output time of a uterine contraction point by pressure probe. Therefore, the proposed method can meet the requirements of real-time analysis in both accuracy and efficiency.
Zhaoxia Chen, Yaosheng Lu, Duoying Zhang, Xiaodong Li & Renhuan Yang. (2019). A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status. Journal of Fiber Bioengineering and Informatics. 8 (4). 761-770. doi:10.3993/jfbim00176
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