کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5124181 1378440 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Utilizing Infant Cry Acoustics to Determine Gestational Age
ترجمه فارسی عنوان
استفاده از آکوستیک گریه نوزادان برای تعیین سن حاملگی
کلمات کلیدی
فریاد، نوزادان، تجزیه و تحلیل آکوستیک؛ تجزیه و تحلیل گریه؛ سن حاملگی؛ نمره بالارد جدید
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی بیماری های گوش و جراحی پلاستیک صورت
چکیده انگلیسی

SummaryObjectives/HypothesisThe date of last menstruation period and ultrasonography are the most commonly used methods to determine gestational age (GA). However, if these data are not clear, some scoring systems performed after birth can be used. New Ballard Score (NBS) is a commonly used method in estimation of GA. Cry sound may reflect the developmental integrity of the infant. The aim of this study was to evaluate the connection between the infants' GA and some acoustic parameters of the infant cry.Study DesignA prospective single-blind study was carried out.MethodsIn this prospective study, medically stable infants without any congenital craniofacial anomalies were evaluated. During routine blood sampling, cry sounds were recorded and acoustic analysis was performed. Step-by-step multiple linear regression analysis was performed.ResultsThe data of 116 infants (57 female, 59 male) with the known GA (34.6 ± 3.8 weeks) were evaluated and with Apgar score of higher than 5. The real GA was significantly and well correlated with the estimated GA according to the NBS, F0, Int, Jitt, and latency parameters. The obtained stepwise linear regression analysis model was formulized as GA = (31.169) − (0.020 × F0) + (0.286 × GA according to NBS) − (0.003 × Latency) + (0.108 × Int) − (0.367 × Jitt). The real GA could be determined with a ratio of 91.7% using this model.ConclusionsWe have determined that after addition of F0, Int, Jitt, and latency to NBS, the power of GA estimation would be increased. This simple formula can be used to determine GA in clinical practice but validity of such prediction formulas needs to be further tested.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Voice - Volume 31, Issue 4, July 2017, Pages 506.e1-506.e6
نویسندگان
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