Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions
المؤلفون المشاركون
Garcia-Casado, Javier
Prats-Boluda, Gema
Ye-Lin, Yiyao
Perales-Marín, Alfredo
Alberola-Rubio, José
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-01-09
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-474088
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر