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Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions
Joint Authors
Garcia-Casado, Javier
Prats-Boluda, Gema
Ye-Lin, Yiyao
Perales-Marín, Alfredo
Alberola-Rubio, José
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Electrohysterography (EHG) is a noninvasive technique for monitoring uterine electrical activity.
However, the presence of artifacts in the EHG signal may give rise to erroneous interpretations and make it difficult to extract useful information from these recordings.
The aim of this work was to develop an automatic system of segmenting EHG recordings that distinguishes between uterine contractions and artifacts.
Firstly, the segmentation is performed using an algorithm that generates the TOCO-like signal derived from the EHG and detects windows with significant changes in amplitude.
After that, these segments are classified in two groups: artifacted and nonartifacted signals.
To develop a classifier, a total of eleven spectral, temporal, and nonlinear features were calculated from EHG signal windows from 12 women in the first stage of labor that had previously been classified by experts.
The combination of characteristics that led to the highest degree of accuracy in detecting artifacts was then determined.
The results showed that it is possible to obtain automatic detection of motion artifacts in segmented EHG recordings with a precision of 92.2% using only seven features.
The proposed algorithm and classifier together compose a useful tool for analyzing EHG signals and would help to promote clinical applications of this technique.
American Psychological Association (APA)
Ye-Lin, Yiyao& Garcia-Casado, Javier& Prats-Boluda, Gema& Alberola-Rubio, José& Perales-Marín, Alfredo. 2014. Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-474088
Modern Language Association (MLA)
Ye-Lin, Yiyao…[et al.]. Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-474088
American Medical Association (AMA)
Ye-Lin, Yiyao& Garcia-Casado, Javier& Prats-Boluda, Gema& Alberola-Rubio, José& Perales-Marín, Alfredo. Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-474088
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474088