Fetal Heart Rate Extraction using NLMS Algorithm
نویسندگان
چکیده
منابع مشابه
Extraction of Fetal Heart Rate and Fetal Heart Rate Variability from Mother's ECG Signal
This paper describes a new method for extracting the fetal heart rate (fHR) and the fetal heart rate variability (fHRV) signal non-invasively using abdominal maternal electrocardiogram (mECG) recordings. The extraction is based on the fundamental frequency (Fourier’s) theorem. The fundamental frequency of the mother’s electrocardiogram signal (fo-m) is calculated directly from the abdominal sig...
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In this work, we propose an algorithm to extract the fetal heart rate variability from an ECG measured from the mother abdomen. The algorithm consists of two methods: a separation algorithm based on second-order statistics that extracts the desired signal in one shot through the data, and a hearth instantaneous frequency (HIF) estimator. The HIF algorithm is used to extract the mother heart rat...
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CONTEXT Numerous randomized controlled trials have demonstrated limited efficacy of intrapartum fetal heart rate monitoring in improving fetal outcome. A potential reason is the wide variability in clinical decision making seen with its use. Standardizing management of variant intrapartum fetal heart rate tracings may reduce this variability and lead to improvement in fetal outcome. OBJECTIVE...
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BACKGROUND Cardiotocography (CTG) is the most widely used tool for fetal surveillance. The visual analysis of fetal heart rate (FHR) traces largely depends on the expertise and experience of the clinician involved. Several approaches have been proposed for the effective interpretation of FHR. In this paper, a new approach for FHR feature extraction based on empirical mode decomposition (EMD) is...
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ژورنال
عنوان ژورنال: International Journal of Biology and Biomedical Engineering
سال: 2021
ISSN: 1998-4510
DOI: 10.46300/91011.2021.15.8