کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5132 341 2016 6 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Early diagnosis of threatened premature labor by electrohysterographic recordings – The use of digital signal processing
ترجمه فارسی عنوان
تشخیص زودهنگام زایمان زودرس در معرض خطر با ضبط electrohysterographic؛ استفاده از پردازش سیگنال دیجیتالی
کلمات کلیدی
انقباض رحم؛ Electrohysterography؛ زایمان زودرس؛ تجزیه و تحلیل طیفی؛ اندازه گیری پیچیدگی
Uterine contraction; Electrohysterography; Preterm labor; Spectral analysis; Complexity measures
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی

Prevention and early diagnosis of imminent preterm labor are considered to be the most important perinatal challenge nowadays. Significant progress has been observed on postnatal care of premature infants, but without reducing the prevalence of preterm delivery.Our study was focused on comparison of three methods of spectral analysis of electrohysterographic (EHG) signals: fast Fourier transform (FFT), wavelet transform (WT) and autoregressive modeling (AR). Complexity of the electrohysterographic signals was analyzed by using: the approximate entropy (ApEn), Lempel–Ziv complexity measure (L–Z). Additionally, the work evaluated the applicability of EHG in diagnosing imminent premature labor.EHG signals were recorded among 60 patients with threatened preterm labor symptoms between the 24th and 34th week of pregnancy. Patients included to the study had a shortened cervix (less than 20 mm) without regular uterine contractions recorded on regular cardiotocography (CTG). The women were divided into two groups: those delivering within 7 days – group A (n = 15) and women delivering after 7 days – group B (n = 45).The study confirmed differences in bioelectrical activity of uterus between patients delivering prematurely within 7 days and after from the EHG registration for all analyzed methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biocybernetics and Biomedical Engineering - Volume 36, Issue 1, 2016, Pages 302–307
نویسندگان
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