Research on Gastroesophageal Reflux Disease Based on Dynamic Features of Ambulatory 24-Hour Esophageal pH Monitoring
المؤلفون المشاركون
Ming, Dong
Liu, Shuang
Yang, Jiajia
Qi, Hongzhi
Xu, Minpeng
Zhou, Peng
Zhang, Lixin
Zhao, Xin
He, Feng
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-14
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Ambulatory 24-hour esophageal pH monitoring has been considered as the gold standard for diagnosing gastroesophageal reflux disease (GERD), and in clinical application, static parameters are widely used, such as DeMeester score.
However, a shortcoming of these static variables is their relatively high false negative rate and long recording time required.
They may be falsely labeled as nonrefluxers and not appropriately treated.
Therefore, it is necessary to seek more accurate and objective parameters to detect and quantify GERD.
This paper first describes a new effort that investigated the feasibility of dynamic features of 24-hour pH recording.
Wavelet energy, information entropy, and wavelet entropy were estimated for three groups (severe, mild-to-moderate, and normal).
The results suggest that wavelet energy and entropy are physiologically meaningful since they differentiated patients with varying degrees of GERD.
K-means clustering algorithm was employed to obtain the sensitivity and specificity of new parameters.
It is obvious that information entropy goes with the highest sensitivity of 87.3% and wavelet energy has the highest specificity of 97.1%.
This would allow a more accurate definition of the best indicators to detect and quantify GERD as well as provide an alternative insight into the early diagnosis of GERD.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Shuang& Xu, Minpeng& Yang, Jiajia& Qi, Hongzhi& He, Feng& Zhao, Xin…[et al.]. 2017. Research on Gastroesophageal Reflux Disease Based on Dynamic Features of Ambulatory 24-Hour Esophageal pH Monitoring. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142409
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Shuang…[et al.]. Research on Gastroesophageal Reflux Disease Based on Dynamic Features of Ambulatory 24-Hour Esophageal pH Monitoring. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1142409
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Shuang& Xu, Minpeng& Yang, Jiajia& Qi, Hongzhi& He, Feng& Zhao, Xin…[et al.]. Research on Gastroesophageal Reflux Disease Based on Dynamic Features of Ambulatory 24-Hour Esophageal pH Monitoring. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142409
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142409
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