دورية أكاديمية

Prediction of uterine contractions using knowledge-assisted sequential pattern analysis.

التفاصيل البيبلوغرافية
العنوان: Prediction of uterine contractions using knowledge-assisted sequential pattern analysis.
المؤلفون: Huang Z; Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA., Shyu ML, Tien JM, Vigoda MM, Birnbach DJ
المصدر: IEEE transactions on bio-medical engineering [IEEE Trans Biomed Eng] 2013 May; Vol. 60 (5), pp. 1290-7. Date of Electronic Publication: 2012 Dec 10.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Institute Of Electrical And Electronics Engineers Country of Publication: United States NLM ID: 0012737 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-2531 (Electronic) Linking ISSN: 00189294 NLM ISO Abbreviation: IEEE Trans Biomed Eng Subsets: MEDLINE
أسماء مطبوعة: Publication: New York, NY : Institute Of Electrical And Electronics Engineers
Original Publication: New York, IEEE Professional Technical Group on Bio-Medical Engineering.
مواضيع طبية MeSH: Support Vector Machine*, Pattern Recognition, Automated/*methods , Uterine Contraction/*physiology, Databases, Factual ; Female ; Humans ; Least-Squares Analysis ; Models, Biological ; Models, Statistical ; Pregnancy
مستخلص: The usage of the systemic opioid remifentanil in relieving the labor pain has attracted much attention recently. An optimal dosing regimen for administration of remifentanil during labor relies on anticipating the timing of uterine contractions. These predictions should be made early enough to maximize analgesia efficacy during contractions and minimize the impact of the medication between contractions. We have designed a knowledge-assisted sequential pattern analysis framework to 1) predict the intrauterine pressure in real time; 2) anticipate the next contraction; and 3) develop a sequential association rule mining approach to identify the patterns of the contractions from historical patient tracings (HT).
تواريخ الأحداث: Date Created: 20121213 Date Completed: 20131203 Latest Revision: 20151119
رمز التحديث: 20231215
DOI: 10.1109/TBME.2012.2232666
PMID: 23232363
قاعدة البيانات: MEDLINE
الوصف
تدمد:1558-2531
DOI:10.1109/TBME.2012.2232666