TY - JOUR
T1 - A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status
AU - Zhaoxia Chen, Yaosheng Lu, Duoying Zhang, Xiaodong Li & Renhuan Yang
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.