|
|
A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status |
|
|
Abstract Against the problems of existing uterine contraction identification
algorithms, mainly in the\linebreak 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 real-time 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 $0.0032\pm 0.0002$
(mean $\pm$ 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.
|
|
|
|
|
Cite this article: |
Zhaoxia Chen,Yaosheng Lu,Duoying Zhang, et al. A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(4): 761-770.
|
|
|
|
|