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Algorithm for detection of uterine contractions from electrohysterogram

Authors: K. Horoba; J. Jezewski; J. Wrobel; S. Graczyk;

Algorithm for detection of uterine contractions from electrohysterogram

Abstract

At present, the most widespread method of monitoring uterine contractions activity during pregnancy and labour is the external tocography method. This mechanical method, however, has limited value resulting from its low accuracy and sensibility. Recent progress in new techniques of perinatal monitoring requires a more precise method of monitoring uterine activity. The most promising seems to be electrohysterography, which consists in the recording of electrical uterine activity by means of electrodes attached to abdominal wall. We made an attempt to evaluate the possibility to replace the traditional mechanical method by this electrical one. We developed methods of extraction of the slow wave from an electrohysterogram. This slow wave corresponds to mechanical signal and can be regarded as a contractions wave. Then, using this wave, the contractions detection can be performed in a similar way as in a conventional tocogram. The results obtained allow one to conclude that there is a close relation between the electrical and mechanical signals of uterine activity. It is manifested by a similar number of contractions detected and a large number of contractions being consistent.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Average
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